Mamba neural operator: Who wins? transformers vs. state-space models for PDEs.

Carola-Bibiane Schönlieb Carola-Bibiane Schoenlieb Carola Schönlieb Carola B. Schönlieb http://www.damtp.cam.ac.uk/user/cbs31/Home.html https://scholar.google.com/citations?user=nPeOXjwAAAAJ https://openreview.net/profile?id=~Carola-Bibiane_Sch%C3%B6nlieb1 https://zbmath.org/authors/?q=ai:schonlieb.carola-bibiane https://mathscinet.ams.org/mathscinet/MRAuthorID/844391 https://mathgenealogy.org/id.php?id=146189 https://en.wikipedia.org/wiki/Carola-Bibiane_Sch%C3%B6nlieb https://orcid.org/0000-0003-0099-6306 https://www.wikidata.org/entity/Q32320708 https://www.wikidata.org/entity/Q59902491 https://id.loc.gov/authorities/names/n2015025226 https://d-nb.info/gnd/1096342626 University of Cambridge, UK

Chun-Wun Cheng Jiahao Huang Yi Zhang 0109 Guang Yang 0006 Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Mamba neural operator: Who wins? transformers vs. state-space models for PDEs. 114567 2026 548 J. Comput. Phys. https://doi.org/10.1016/j.jcp.2025.114567 db/journals/jcphy/jcphy548.html#ChengHZYSA26 streams/journals/jcphy

Zhongying Deng Haoyu Wang Ziyan Huang Lipei Zhang Angelica I. Avilés-Rivero Chaoyu Liu Junjun He Zoe Kourtzi Carola-Bibiane Schönlieb Brain foundation models with hypergraph dynamic adapter for brain disease analysis. 112595 2026 172 Pattern Recognit. https://doi.org/10.1016/j.patcog.2025.112595 db/journals/pr/pr172.html#DengWHZALHKS26 streams/journals/pr

Hong Ye Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds. 25761-25769 2026 AAAI https://doi.org/10.1609/aaai.v40i30.39774 conf/aaai/2026 db/conf/aaai/aaai2026.html#TanMTS26

Chun-Wun Cheng Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero SpectraKAN: Conditioning Spectral Operators. 2026 February abs/2602.05187 CoRR https://doi.org/10.48550/arXiv.2602.05187 db/journals/corr/corr2602.html#abs-2602-05187 streams/journals/corr

Josephine Elisabeth Oettinger Zakhar Shumaylov Johannes Bostelmann Jan Lellmann Carola-Bibiane Schönlieb Diffeomorphism-Equivariant Neural Networks. 2026 February abs/2602.06695 CoRR https://doi.org/10.48550/arXiv.2602.06695 db/journals/corr/corr2602.html#abs-2602-06695 streams/journals/corr

Alexander Denker Moshe Eliasof Zeljko Kereta Carola-Bibiane Schönlieb Trajectory Stitching for Solving Inverse Problems with Flow-Based Models. 2026 February abs/2602.08538 CoRR https://doi.org/10.48550/arXiv.2602.08538 db/journals/corr/corr2602.html#abs-2602-08538 streams/journals/corr

Takashi Furuya Davide Murari Carola-Bibiane Schönlieb Approximation Theory for Lipschitz Continuous Transformers. 2026 February abs/2602.15503 CoRR https://doi.org/10.48550/arXiv.2602.15503 db/journals/corr/corr2602.html#abs-2602-15503 streams/journals/corr

Chun-Wun Cheng Yanqi Cheng Peiyuan Jing Guang Yang 0006 Javier A. Montoya-Zegarra Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection. 2026 March abs/2603.03187 CoRR https://doi.org/10.48550/arXiv.2603.03187 db/journals/corr/corr2603.html#abs-2603-03187 streams/journals/corr

Krishna Sri Ipsit Mantri Carola-Bibiane Schönlieb Zorah Lähner Moshe Eliasof Towards Improved Sentence Representations using Token Graphs. 2026 March abs/2603.03389 CoRR https://doi.org/10.48550/arXiv.2603.03389 db/journals/corr/corr2603.html#abs-2603-03389 streams/journals/corr

Fan Zhang Daniel Kreuter Javier Fernández-Marqués BloodCounts Consortium Gregory Verghese Bernard Butler Nicholas D. Lane Suthesh Sivapalaratnam Joseph Taylor Norbert C. J. de Wit Nicholas S. Gleadall Carola-Bibiane Schönlieb Michael Roberts Building Privacy-and-Security-Focused Federated Learning Infrastructure for Global Multi-Centre Healthcare Research. 2026 March abs/2603.10063 CoRR https://doi.org/10.48550/arXiv.2603.10063 db/journals/corr/corr2603.html#abs-2603-10063 streams/journals/corr

Jianwei Chen Zhengyang Miao Wenjie Cai Jiaxue Tang Boxing Liu Yunfan Zhang Yuhang Yang Hao Tang Carola-Bibiane Schönlieb Zaixu Cui Du Lei Shouliang Qi Chao Li 0031 Hierarchical Multiscale Structure-Function Coupling for Brain Connectome Integration. 2026 March abs/2603.20680 CoRR https://doi.org/10.48550/arXiv.2603.20680 db/journals/corr/corr2603.html#abs-2603-20680 streams/journals/corr

Poorya MohammadiNasab Ander Biguri Philipp Steininger Peter Keuschnigg Lukas Lamminger Agnieszka Lach S. M. Ragib Shahriar Islam Anna Breger Clemens Karner Carola-Bibiane Schönlieb Wolfgang Birkfellner Sepideh Hatamikia No-reference based automatic parameter optimization for iterative reconstruction using a novel search space aware crow search algorithm. 2026 April abs/2604.06246 CoRR https://doi.org/10.48550/arXiv.2604.06246 db/journals/corr/corr2604.html#abs-2604-06246 streams/journals/corr

James Rowbottom Elizabeth Louise Baker Nick Huang Ben Adcock Carola-Bibiane Schönlieb Alexander Denker GRIFDIR: Graph Resolution-Invariant FEM Diffusion Models in Function Spaces over Irregular Domains. 2026 May abs/2605.03497 CoRR https://doi.org/10.48550/arXiv.2605.03497 db/journals/corr/corr2605.html#abs-2605-03497 streams/journals/corr

Moshe Eliasof Krishna Sri Ipsit Mantri Beatrice Bevilacqua Bruno Ribeiro 0001 Carola-Bibiane Schönlieb Bridging Input Feature Spaces Towards Graph Foundation Models. 2026 May abs/2605.04834 CoRR https://doi.org/10.48550/arXiv.2605.04834 db/journals/corr/corr2605.html#abs-2605-04834 streams/journals/corr

Chaoyu Liu Zhonghao Li Gaohang Chen Zakhar Shumaylov Zhongying Deng Qian Zhang Zhonghua Qiao Carola-Bibiane Schönlieb Adaptive Coordinate Transforms for Neural Operators. 2026 May abs/2605.06203 CoRR https://doi.org/10.48550/arXiv.2605.06203 db/journals/corr/corr2605.html#abs-2605-06203 streams/journals/corr

James Rowbottom Nick Huang Carola-Bibiane Schönlieb Ben Adcock Christoffel-DPS: Optimal sensor placement in diffusion posterior sampling for arbitrary distributions. 2026 May abs/2605.06861 CoRR https://doi.org/10.48550/arXiv.2605.06861 db/journals/corr/corr2605.html#abs-2605-06861 streams/journals/corr

Chun-Wun Cheng Sifan Wang Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero CATO: Charted Attention for Neural PDE Operators. 2026 May abs/2605.09016 CoRR https://doi.org/10.48550/arXiv.2605.09016 db/journals/corr/corr2605.html#abs-2605-09016 streams/journals/corr

Zakhar Shumaylov Nathaël Da Costa Peter Zaika Bálint Mucsányi Alex Massucco Yoav Gelberg Carola-Bibiane Schönlieb Yarin Gal Philipp Hennig Muon is Not That Special: Random or Inverted Spectra Work Just as Well. 2026 May abs/2605.11181 CoRR https://doi.org/10.48550/arXiv.2605.11181 db/journals/corr/corr2605.html#abs-2605-11181 streams/journals/corr

Nicholas Dalhaug Martin Baerveldt Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Annette Stahl Rudolf Mester Edmund Førland Brekke Motion Constrained Point Cloud Matching for Maritime Tracking. 111354-111371 2025 13 IEEE Access https://doi.org/10.1109/ACCESS.2025.3582327 db/journals/access/access13.html#DalhaugBASSMB25 streams/journals/access

Andreas Hauptmann Subhadip Mukherjee Carola-Bibiane Schönlieb Ferdia Sherry Convergent Regularization in Inverse Problems and Linear Plug-and-Play Denoisers. 1087-1120 2025 August 25 Found. Comput. Math. 4 https://doi.org/10.1007/s10208-024-09654-x db/journals/focm/focm25.html#HauptmannMSS25 streams/journals/focm

Xiaodan Xing Chunling Tang Siofra Murdoch Giorgos Papanastasiou Yunzhe Guo Xianglu Xiao Jan Oscar Cross-Zamirski Carola-Bibiane Schönlieb Kristina Xiao Liang Zhangming Niu Evandro Fei Fang Yinhai Wang Guang Yang 0006 Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion. 128715 2025 612 Neurocomputing https://doi.org/10.1016/j.neucom.2024.128715 db/journals/ijon/ijon612.html#XingTMPGXCSLNFWY25 streams/journals/ijon

Junqi Tang Guixian Xu Subhadip Mukherjee Carola-Bibiane Schönlieb Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Linear Inverse Problems. 46 2025 August 67 J. Math. Imaging Vis. 4 https://doi.org/10.1007/s10851-025-01263-9 db/journals/jmiv/jmiv67.html#TangXMS25 streams/journals/jmiv

Jiahao Huang Liutao Yang Fanwen Wang Yinzhe Wu 0001 Yang Nan 0002 Weiwen Wu Chengyan Wang Kuangyu Shi Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Daoqiang Zhang Guang Yang 0006 Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba. 103334 2025 99 Medical Image Anal. https://doi.org/10.1016/j.media.2024.103334 db/journals/mia/mia99.html#HuangYWWNWWSASZY25 streams/journals/mia

Jing Zou Noémie Debroux Lihao Liu Jing Qin 0001 Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Learning homeomorphic image registration via conformal-invariant hyperelastic regularisation. 103712 2025 105 Medical Image Anal. https://doi.org/10.1016/j.media.2025.103712 db/journals/mia/mia105.html#ZouDLQSA25 streams/journals/mia

Yakov Vaisbourd Rustum Choksi Ariel Goodwin Tim Hoheisel Carola-Bibiane Schönlieb Maximum entropy on the mean and the Cramér rate function in statistical estimation and inverse problems: properties, models, and algorithms. 441-490 2025 November 214 Math. Program. 1 https://doi.org/10.1007/s10107-024-02189-7 db/journals/mp/mp214.html#VaisbourdCGHS25 streams/journals/mp

Xiaodan Xing Fadong Shi Jiahao Huang Yinzhe Wu 0001 Yang Nan 0002 Sheng Zhang 0024 Yingying Fang Michael Roberts Carola-Bibiane Schönlieb Javier Del Ser Guang Yang 0006 On the caveats of AI autophagy. 172-180 2025 7 Nat. Mac. Intell. 2 https://doi.org/10.1038/s42256-025-00984-1 db/journals/natmi/natmi7.html#XingSHWNZFRSSY25 streams/journals/natmi

Kristian Bredies Marcello Carioni Martin Holler Yury Korolev Carola-Bibiane Schönlieb A sparse optimization approach to infinite infimal convolution regularization. 41-96 2025 February 157 Numerische Mathematik 1 https://doi.org/10.1007/s00211-024-01439-2 db/journals/nm/nm157.html#BrediesCHKS25 streams/journals/nm

Tobias Wolf Derek Driggs Kostas Papafitsoros Elena Resmerita Carola-Bibiane Schönlieb Nested Bregman Iterations for Decomposition Problems. 1963-2007 2025 18 SIAM J. Imaging Sci. 3 https://doi.org/10.1137/25m173123x db/journals/siamis/siamis18.html#WolfDPRS25 streams/journals/siamis

Chaoyu Liu Zhonghua Qiao Chao Li 0031 Carola-Bibiane Schönlieb Inverse Evolution Layers: Physics-Informed Regularizers for Image Segmentation. 55-85 2025 7 SIAM J. Math. Data Sci. 1 https://doi.org/10.1137/24m1633662 db/journals/simods/simods7.html#LiuQLS25 streams/journals/simods

Chaoyan Huang Zhongming Wu Yanqi Cheng Tieyong Zeng Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Deep Block Proximal Linearized Minimization Algorithm for Nonconvex Inverse Problems. 1729-1754 2025 7 SIAM J. Math. Data Sci. 4 https://doi.org/10.1137/24m1682464 db/journals/simods/simods7.html#HuangWCZSA25 streams/journals/simods

Liutao Yang Jiahao Huang Yingying Fang Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Daoqiang Zhang Guang Yang 0006 Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction. 1-11 2025 74 IEEE Trans. Instrum. Meas. https://doi.org/10.1109/TIM.2025.3554318 db/journals/tim/tim74.html#YangHFASZY25 streams/journals/tim

Guangqian Yang Kangrui Du Zhihan Yang 0001 Ye Du 0002 Eva Yi Wah Cheung Yongping Zheng Mo Yang Zoe Kourtzi Carola-Bibiane Schönlieb Shujun Wang ADFound: A Foundation Model for Diagnosis and Prognosis of Alzheimer's Disease. 8395-8408 2025 November 29 IEEE J. Biomed. Health Informatics 11 https://doi.org/10.1109/JBHI.2025.3576436 db/journals/titb/titb29.html#YangDYDCZYKSW25 streams/journals/titb

Zhongying Deng Yanqi Cheng Lihao Liu Shujun Wang Rihuan Ke Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation. 2747-2759 2025 February 26 IEEE Trans. Intell. Transp. Syst. 2 https://doi.org/10.1109/TITS.2024.3510551 db/journals/tits/tits26.html#DengCLWKSA25 streams/journals/tits

Amer Essakine Yanqi Cheng Chun-Wun Cheng Lipei Zhang Zhongying Deng Lei Zhu 0003 Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=QTsJXSvAI2 db/journals/tmlr/tmlr2025.html#EssakineCCZD0SA25

Billy Joe Franks Moshe Eliasof Semih Cantürk Guy Wolf Carola-Bibiane Schönlieb Sophie Fellenz Marius Kloft Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=mSoDRZXsqj db/journals/tmlr/tmlr2025.html#FranksECWSFK25

Eshed Gal Moshe Eliasof Carola-Bibiane Schönlieb Ivan I. Kyrchei Eldad Haber Eran Treister Towards Efficient Training of Graph Neural Networks: A Multiscale Approach. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=2eZ8xkL2ZB db/journals/tmlr/tmlr2025.html#GalESKHT25 streams/journals/tmlr

Juheon Lee Xiaohao Cai Carola-Bibiane Schönlieb Simon Masnou Neural varifolds: an aggregate representation for quantifying the geometry of point clouds. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=P02hoA7vln db/journals/tmlr/tmlr2025.html#LeeCSM25

Lihao Liu Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Contrastive Registration for Unsupervised Medical Image Segmentation. 147-159 2025 January 36 IEEE Trans. Neural Networks Learn. Syst. 1 https://doi.org/10.1109/TNNLS.2023.3332003 db/journals/tnn/tnn36.html#LiuAS25 streams/journals/tnn

Yi Zhang 0109 Chun-Wun Cheng Junyi He Zhihai He Carola-Bibiane Schönlieb Yuyan Chen Angelica I. Avilés-Rivero Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations. 10302-10310 2025 AAAI https://doi.org/10.1609/aaai.v39i10.33118 conf/aaai/2025 db/conf/aaai/aaai2025.html#ZhangCHHSCA25 Moshe Eliasof Md Shahriar Rahim Siddiqui Carola-Bibiane Schönlieb Eldad Haber Learning Regularization for Graph Inverse Problems. 16471-16479 2025 AAAI https://doi.org/10.1609/aaai.v39i16.33809 conf/aaai/2025 db/conf/aaai/aaai2025.html#EliasofSSH25 Alessio Gravina Moshe Eliasof Claudio Gallicchio Davide Bacciu Carola-Bibiane Schönlieb On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems. 16906-16914 2025 AAAI https://doi.org/10.1609/aaai.v39i16.33858 conf/aaai/2025 db/conf/aaai/aaai2025.html#GravinaEGBS25 Christina Runkel Kanchana Vaishnavi Gandikota Jonas Geiping Carola-Bibiane Schönlieb Michael Moeller 0001 Training Data Reconstruction: Privacy due to Uncertainty? 3502-3510 2025 CVPR Workshops https://openaccess.thecvf.com/content/CVPR2025W/WiCV/html/Runkel_Training_Data_Reconstruction_Privacy_due_to_Uncertainty_CVPRW_2025_paper.html conf/cvpr/2025w db/conf/cvpr/cvprw2025.html#RunkelGGS025 Krishna Sri Ipsit Mantri Carola-Bibiane Schönlieb Bruno Ribeiro 0001 Chaim Baskin Moshe Eliasof DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations. 25218-25229 2025 CVPR https://openaccess.thecvf.com/content/CVPR2025/html/Mantri_DiTASK_Multi-Task_Fine-Tuning_with_Diffeomorphic_Transformations_CVPR_2025_paper.html https://doi.org/10.1109/CVPR52734.2025.02348 conf/cvpr/2025 db/conf/cvpr/cvpr2025.html#MantriS0BE25 Wallace Peaslee Anna Breger Carola-Bibiane Schönlieb Potential Contrast: Properties, Equivalences, and Generalization to Multiple Classes. 716-720 2025 EUSIPCO https://ieeexplore.ieee.org/document/11226174 conf/eusipco/2025 db/conf/eusipco/eusipco2025.html#PeasleeBS25 streams/conf/eusipco Junqi Tang Subhadip Mukherjee Carola-Bibiane Schönlieb Iterative Operator Sketching Framework for Large-Scale Imaging Inverse Problems. 1-5 2025 ICASSP https://doi.org/10.1109/ICASSP49660.2025.10890355 conf/icassp/2025 db/conf/icassp/icassp2025.html#TangMS25 Stathis Megas Daniel G. Chen Krzysztof Polanski Moshe Eliasof Carola-Bibiane Schönlieb Sarah A. Teichmann Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement. 2025 ICLR https://openreview.net/forum?id=Tqdsruwyac conf/iclr/2025 db/conf/iclr/iclr2025.html#MegasCPEST25 Zakhar Shumaylov Peter Zaika James Rowbottom Ferdia Sherry Melanie Weber 0001 Carola-Bibiane Schönlieb Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups. 2025 ICLR https://openreview.net/forum?id=7PLpiVdnUC conf/iclr/2025 db/conf/iclr/iclr2025.html#ShumaylovZRS0S25 Willem Diepeveen Georgios Batzolis Zakhar Shumaylov Carola-Bibiane Schönlieb Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows. 2025 ICML https://proceedings.mlr.press/v267/diepeveen25a.html https://openreview.net/forum?id=AJN5btaqNk conf/icml/2025 db/conf/icml/icml2025.html#DiepeveenBSS25 Moshe Eliasof Alessio Gravina Andrea Ceni Claudio Gallicchio Davide Bacciu Carola-Bibiane Schönlieb Graph Adaptive Autoregressive Moving Average Models. 2025 ICML https://proceedings.mlr.press/v267/eliasof25a.html https://openreview.net/forum?id=UFlyLkvyAE conf/icml/2025 db/conf/icml/icml2025.html#EliasofGCGBS25 James Rowbottom Georg Maierhofer Teo Deveney Eike Hermann Müller Alberto Paganini Katharina Schratz Pietro Lio Carola-Bibiane Schönlieb Chris J. Budd G-Adaptivity: optimised graph-based mesh relocation for finite element methods. 2025 ICML https://proceedings.mlr.press/v267/rowbottom25a.html https://openreview.net/forum?id=pyIXyl4qFx conf/icml/2025 db/conf/icml/icml2025.html#RowbottomMDMPSL25 Clemens Karner Janek Gröhl Ian Selby Judith Babar Jake Beckford Thomas R. Else Timothy J. Sadler Shahab Shahipasand Arthikkaa Thavakumar Michael Roberts James H. F. Rudd Carola-Bibiane Schönlieb Jonathan R. Weir-McCall Anna Breger Parameter Choices in Haarpsi for IQA with Medical Images. 1-5 2025 ISBI https://doi.org/10.1109/ISBI60581.2025.10981227 conf/isbi/2025 db/conf/isbi/isbi2025.html#KarnerGSBBESSTR25 Chun-Wun Cheng Yining Zhao Yanqi Cheng Javier A. Montoya-Zegarra Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation. 304-314 2025 MICCAI (11) https://doi.org/10.1007/978-3-032-05141-7_30 conf/miccai/2025-11 db/conf/miccai/miccai2025-11.html#ChengZCMSA25 streams/conf/miccai Junqi Tang Matthias J. Ehrhardt Carola-Bibiane Schönlieb Stochastic Primal-Dual Three Operator Splitting Algorithm with Extension to Equivariant Regularization-by-Denoising. 30-41 2025 SSVM (2) https://doi.org/10.1007/978-3-031-92369-2_3 conf/scalespace/2025-2 db/conf/scalespace/ssvm2025-2.html#TangES25 streams/conf/scalespace Naïl Khelifa Carola-Bibiane Schönlieb Ferdia Sherry Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling. 185-197 2025 SSVM (1) https://doi.org/10.1007/978-3-031-92366-1_15 conf/scalespace/2025-1 db/conf/scalespace/ssvm2025-1.html#KhelifaSS25 streams/conf/scalespace Tatiana A. Bubba Romina Gaburro Silvia Gazzola Kostas Papafitsoros Marcelo Pereyra Carola-Bibiane Schönlieb Scale Space and Variational Methods in Computer Vision - 10th International Conference, SSVM 2025, Dartington, UK, May 18-22, 2025, Proceedings, Part I SSVM (1) Springer 2025 Lecture Notes in Computer Science 15667 978-3-031-92365-4 978-3-031-92366-1 https://doi.org/10.1007/978-3-031-92366-1 db/conf/scalespace/ssvm2025-1.html Tatiana A. Bubba Romina Gaburro Silvia Gazzola Kostas Papafitsoros Marcelo Pereyra Carola-Bibiane Schönlieb Scale Space and Variational Methods in Computer Vision - 10th International Conference, SSVM 2025, Dartington, UK, May 18-22, 2025, Proceedings, Part II SSVM (2) Springer 2025 Lecture Notes in Computer Science 15668 978-3-031-92368-5 978-3-031-92369-2 https://doi.org/10.1007/978-3-031-92369-2 db/conf/scalespace/ssvm2025-2.html

Moshe Eliasof Alessio Gravina Andrea Ceni Claudio Gallicchio Davide Bacciu Carola-Bibiane Schönlieb GRAMA: Adaptive Graph Autoregressive Moving Average Models. 2025 January abs/2501.12732 CoRR https://doi.org/10.48550/arXiv.2501.12732 db/journals/corr/corr2501.html#abs-2501-12732 streams/journals/corr

Chaoyu Liu Chris J. Budd Carola-Bibiane Schönlieb Inverse Evolution Data Augmentation for Neural PDE Solvers. 2025 January abs/2501.14604 CoRR https://doi.org/10.48550/arXiv.2501.14604 db/journals/corr/corr2501.html#abs-2501-14604 streams/journals/corr

Yangming Li Carola-Bibiane Schönlieb Generative Unordered Flow for Set-Structured Data Generation. 2025 January abs/2501.17770 CoRR https://doi.org/10.48550/arXiv.2501.17770 db/journals/corr/corr2501.html#abs-2501-17770 streams/journals/corr

Xu Chen Yuan Huang 0009 Benn Jessney Jason Sangha Sophie Gu Carola-Bibiane Schönlieb Martin Bennett Michael Roberts Review and Recommendations for using Artificial Intelligence in Intracoronary Optical Coherence Tomography Analysis. 2025 January abs/2501.18614 CoRR https://doi.org/10.48550/arXiv.2501.18614 db/journals/corr/corr2501.html#abs-2501-18614 streams/journals/corr

Thu Bui Carola-Bibiane Schönlieb Bruno Ribeiro 0001 Beatrice Bevilacqua Moshe Eliasof On the Effectiveness of Random Weights in Graph Neural Networks. 2025 February abs/2502.00190 CoRR https://doi.org/10.48550/arXiv.2502.00190 db/journals/corr/corr2502.html#abs-2502-00190 streams/journals/corr

Amy Xiang Wang Zakhar Shumaylov Peter Zaika Ferdia Sherry Carola-Bibiane Schönlieb Generalized Lie Symmetries in Physics-Informed Neural Operators. 2025 February abs/2502.00373 CoRR https://doi.org/10.48550/arXiv.2502.00373 db/journals/corr/corr2502.html#abs-2502-00373 streams/journals/corr

Krishna Sri Ipsit Mantri Carola-Bibiane Schönlieb Bruno Ribeiro 0001 Chaim Baskin Moshe Eliasof DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations. 2025 February abs/2502.06029 CoRR https://doi.org/10.48550/arXiv.2502.06029 db/journals/corr/corr2502.html#abs-2502-06029 streams/journals/corr

Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson Towards Invariance to Node Identifiers in Graph Neural Networks. 2025 February abs/2502.13660 CoRR https://doi.org/10.48550/arXiv.2502.13660 db/journals/corr/corr2502.html#abs-2502-13660 streams/journals/corr

Chun-Wun Cheng Yining Zhao Yanqi Cheng Javier Montoya Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation. 2025 March abs/2503.03141 CoRR https://doi.org/10.48550/arXiv.2503.03141 db/journals/corr/corr2503.html#abs-2503-03141 streams/journals/corr

Naïl Khelifa Ferdia Sherry Carola-Bibiane Schönlieb Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling. 2025 March abs/2503.05956 CoRR https://doi.org/10.48550/arXiv.2503.05956 db/journals/corr/corr2503.html#abs-2503-05956 streams/journals/corr

Chaoyu Liu Davide Murari Chris J. Budd Lihao Liu Carola-Bibiane Schönlieb Enhancing Fourier Neural Operators with Local Spatial Features. 2025 March abs/2503.17797 CoRR https://doi.org/10.48550/arXiv.2503.17797 db/journals/corr/corr2503.html#abs-2503-17797 streams/journals/corr

Eshed Gal Moshe Eliasof Carola-Bibiane Schönlieb Eldad Haber Eran Treister Towards Efficient Training of Graph Neural Networks: A Multiscale Approach. 2025 March abs/2503.19666 CoRR https://doi.org/10.48550/arXiv.2503.19666 db/journals/corr/corr2503.html#abs-2503-19666 streams/journals/corr

Yichen Kelly Chen Sören Dittmer Kinga Bernatowicz Josep Arús-Pous Kamen Bliznashki John A. D. Aston James H. F. Rudd Carola-Bibiane Schönlieb James Jones Michael Roberts SurvSurf: a partially monotonic neural network for first-hitting time prediction of intermittently observed discrete and continuous sequential events. 2025 April abs/2504.04997 CoRR https://doi.org/10.48550/arXiv.2504.04997 db/journals/corr/corr2504.html#abs-2504-04997 streams/journals/corr

Or Feldman Krishna Sri Ipsit Mantri Carola-Bibiane Schönlieb Chaim Baskin Moshe Eliasof FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks. 2025 April abs/2504.07337 CoRR https://doi.org/10.48550/arXiv.2504.07337 db/journals/corr/corr2504.html#abs-2504-07337 streams/journals/corr

Jiahao Huang Fanwen Wang Pedro F. Ferreira Haosen Zhang Yinzhe Wu 0001 Zhifan Gao Lei Zhu 0003 Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Andrew D. Scott Zohya Khalique Maria Dwornik Ramyah Rajakulasingam Ranil De Silva Dudley J. Pennell Guang Yang 0006 Sonia Nielles-Vallespin RSFR: A Coarse-to-Fine Reconstruction Framework for Diffusion Tensor Cardiac MRI with Semantic-Aware Refinement. 2025 April abs/2504.18520 CoRR https://doi.org/10.48550/arXiv.2504.18520 db/journals/corr/corr2504.html#abs-2504-18520 streams/journals/corr

Zhongying Deng Haoyu Wang Ziyan Huang Lipei Zhang Angelica I. Avilés-Rivero Chaoyu Liu Junjun He Zoe Kourtzi Carola-Bibiane Schönlieb Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis. 2025 May abs/2505.00627 CoRR https://doi.org/10.48550/arXiv.2505.00627 db/journals/corr/corr2505.html#abs-2505-00627 streams/journals/corr

Davide Murari Takashi Furuya Carola-Bibiane Schönlieb Approximation theory for 1-Lipschitz ResNets. 2025 May abs/2505.12003 CoRR https://doi.org/10.48550/arXiv.2505.12003 db/journals/corr/corr2505.html#abs-2505-12003 streams/journals/corr

James Rowbottom Stefania Fresca Pietro Lio Carola-Bibiane Schönlieb Nicolas Boullé Multi-Level Monte Carlo Training of Neural Operators. 2025 May abs/2505.12940 CoRR https://doi.org/10.48550/arXiv.2505.12940 db/journals/corr/corr2505.html#abs-2505-12940 streams/journals/corr

Andrea Ceni Alessio Gravina Claudio Gallicchio Davide Bacciu Carola-Bibiane Schönlieb Moshe Eliasof Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling. 2025 May abs/2505.18728 CoRR https://doi.org/10.48550/arXiv.2505.18728 db/journals/corr/corr2505.html#abs-2505-18728 streams/journals/corr

Yanqi Cheng Tieyong Zeng Pietro Lio Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Deep Spectral Prior. 2025 May abs/2505.19873 CoRR https://doi.org/10.48550/arXiv.2505.19873 db/journals/corr/corr2505.html#abs-2505-19873 streams/journals/corr

Christina Runkel Natacha Kuete Meli Jovita Lukasik Ander Biguri Carola-Bibiane Schönlieb Michael Möller 0001 Smooth Model Compression without Fine-Tuning. 2025 May abs/2505.24469 CoRR https://doi.org/10.48550/arXiv.2505.24469 db/journals/corr/corr2505.html#abs-2505-24469 streams/journals/corr

Chaoyu Liu Yangming Li Zhongying Deng Chris J. Budd Carola-Bibiane Schönlieb Conservation-preserved Fourier Neural Operator through Adaptive Correction. 2025 May abs/2505.24579 CoRR https://doi.org/10.48550/arXiv.2505.24579 db/journals/corr/corr2505.html#abs-2505-24579 streams/journals/corr

Mikhail Kennerley Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Robby T. Tan Bridging Annotation Gaps: Transferring Labels to Align Object Detection Datasets. 2025 June abs/2506.04737 CoRR https://doi.org/10.48550/arXiv.2506.04737 db/journals/corr/corr2506.html#abs-2506-04737 streams/journals/corr

Ali Hariri Alvaro Arroyo Alessio Gravina Moshe Eliasof Carola-Bibiane Schönlieb Davide Bacciu Kamyar Azizzadenesheli Xiaowen Dong 0001 Pierre Vandergheynst Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks. 2025 June abs/2506.07624 CoRR https://doi.org/10.48550/arXiv.2506.07624 db/journals/corr/corr2506.html#abs-2506-07624 streams/journals/corr

Carola-Bibiane Schönlieb Zakhar Shumaylov Data-driven approaches to inverse problems. 2025 June abs/2506.11732 CoRR https://doi.org/10.48550/arXiv.2506.11732 db/journals/corr/corr2506.html#abs-2506-11732 streams/journals/corr

Anna Breger Janek Gröhl Clemens Karner Thomas R. Else Ian Selby Jonathan R. Weir-McCall Carola-Bibiane Schönlieb PhotIQA: A photoacoustic image data set with image quality ratings. 2025 July abs/2507.03478 CoRR https://doi.org/10.48550/arXiv.2507.03478 db/journals/corr/corr2507.html#abs-2507-03478 streams/journals/corr

Alex Massucco Davide Murari Carola-Bibiane Schönlieb Neural Networks with Orthogonal Jacobian. 2025 August abs/2508.02882 CoRR https://doi.org/10.48550/arXiv.2508.02882 db/journals/corr/corr2508.html#abs-2508-02882 streams/journals/corr

Moshe Eliasof Eldad Haber Carola-Bibiane Schönlieb TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows. 2025 August abs/2508.05070 CoRR https://doi.org/10.48550/arXiv.2508.05070 db/journals/corr/corr2508.html#abs-2508-05070 streams/journals/corr

Kyriaki Kokka Rahul Goel Ali Abbas Kerry A. Nice Luca Martial S. M. Labib Rihuan Ke Carola-Bibiane Schönlieb James Woodcock Vehicle detection from GSV imagery: Predicting travel behaviour for cycling and motorcycling using Computer Vision. 2025 August abs/2508.12794 CoRR https://doi.org/10.48550/arXiv.2508.12794 db/journals/corr/corr2508.html#abs-2508-12794 streams/journals/corr

Yangming Li Chaoyu Liu Lihao Liu Simon Masnou Carola-Bibiane Schönlieb GeoSplat: A Deep Dive into Geometry-Constrained Gaussian Splatting. 2025 September abs/2509.05075 CoRR https://doi.org/10.48550/arXiv.2509.05075 db/journals/corr/corr2509.html#abs-2509-05075 streams/journals/corr

Fred Vickers Hastings S. M. Ragib Shahriar Islam Malena Sabaté Landman Sepideh Hatamikia Carola-Bibiane Schönlieb Ander Biguri Real-time CBCT reconstructions using Krylov solvers in repeated scanning procedures. 2025 September abs/2509.08574 CoRR https://doi.org/10.48550/arXiv.2509.08574 db/journals/corr/corr2509.html#abs-2509-08574 streams/journals/corr

Chu Chen Ander Biguri Jean-Michel Morel Raymond H. Chan Carola-Bibiane Schönlieb Jizhou Li LamiGauss: Pitching Radiative Gaussian for Sparse-View X-ray Laminography Reconstruction. 2025 September abs/2509.13863 CoRR https://doi.org/10.48550/arXiv.2509.13863 db/journals/corr/corr2509.html#abs-2509-13863 streams/journals/corr

Chun-Wun Cheng Bin Dong Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero PDE Solvers Should Be Local: Fast, Stable Rollouts with Learned Local Stencils. 2025 September abs/2509.26186 CoRR https://doi.org/10.48550/arXiv.2509.26186 db/journals/corr/corr2509.html#abs-2509-26186 streams/journals/corr

Johannes Hertrich Hok Shing Wong Alexander Denker Stanislas Ducotterd Zhenghan Fang Markus Haltmeier Zeljko Kereta Erich Kobler Oscar Leong Mohammad Sadegh Salehi Carola-Bibiane Schönlieb Johannes Schwab Zakhar Shumaylov Jeremias Sulam German Shâma Wache Martin Zach Yasi Zhang Matthias J. Ehrhardt Sebastian Neumayer Learning Regularization Functionals for Inverse Problems: A Comparative Study. 2025 October abs/2510.01755 CoRR https://doi.org/10.48550/arXiv.2510.01755 db/journals/corr/corr2510.html#abs-2510-01755 streams/journals/corr

William Lauga James Rowbottom Alexander Denker Zeljko Kereta Moshe Eliasof Carola-Bibiane Schönlieb Graph Neural Regularizers for PDE Inverse Problems. 2025 October abs/2510.21012 CoRR https://doi.org/10.48550/arXiv.2510.21012 db/journals/corr/corr2510.html#abs-2510-21012 streams/journals/corr

Zakhar Shumaylov Peter Zaika Philipp Scholl 0003 Gitta Kutyniok Lior Horesh Carola-Bibiane Schönlieb When is a System Discoverable from Data? Discovery Requires Chaos. 2025 November abs/2511.08860 CoRR https://doi.org/10.48550/arXiv.2511.08860 db/journals/corr/corr2511.html#abs-2511-08860 streams/journals/corr

Mary Chriselda Antony Oliver Michael Roberts Carola-Bibiane Schönlieb Matthew Thorpe Laplace Learning in Wasserstein Space. 2025 November abs/2511.13229 CoRR https://doi.org/10.48550/arXiv.2511.13229 db/journals/corr/corr2511.html#abs-2511-13229 streams/journals/corr

Yanqi Cheng Chun-Wun Cheng Jim Denholm Thiago Lima Javier A. Montoya-Zegarra Richard Goodwin Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero DNA-Prior: Unsupervised Denoise Anything via Dual-Domain Prior. 2025 November abs/2511.23124 CoRR https://doi.org/10.48550/arXiv.2511.23124 db/journals/corr/corr2511.html#abs-2511-23124 streams/journals/corr

Yi Zhang 0109 Chun-Wun Cheng Junyi He Ke Yu Yushun Tang Carola-Bibiane Schönlieb Zhihai He Angelica I. Avilés-Rivero Training-Free Dual Hyperbolic Adapters for Better Cross-Modal Reasoning. 2025 December abs/2512.08820 CoRR https://doi.org/10.48550/arXiv.2512.08820 db/journals/corr/corr2512.html#abs-2512-08820 streams/journals/corr

Niccolò Grillo James Rowbottom Pietro Liò Carola-Bibiane Schönlieb Stefania Fresca HypeR Adaptivity: Joint hr-Adaptive Meshing via Hypergraph Multi-Agent Deep Reinforcement Learning. 2025 December abs/2512.10439 CoRR https://doi.org/10.48550/arXiv.2512.10439 db/journals/corr/corr2512.html#abs-2512-10439 streams/journals/corr

Xiaodan Xing Siofra Murdoch Chunling Tang Giorgos Papanastasiou Jan Oscar Cross-Zamirski Yunzhe Guo Xianglu Xiao Carola-Bibiane Schönlieb Yinhai Wang Guang Yang 0006 Can generative AI replace immunofluorescent staining processes? A comparison study of synthetically generated cellpainting images from brightfield. 109102 2024 182 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2024.109102 db/journals/cbm/cbm182.html#XingMTPCGXSWY24 streams/journals/cbm

Yifan Li Chao Li 0031 Yiran Wei 0002 Stephen J. Price Carola-Bibiane Schönlieb Xi Chen 0042 Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction. 102420 2024 116 Comput. Medical Imaging Graph. https://doi.org/10.1016/j.compmedimag.2024.102420 db/journals/cmig/cmig116.html#LiLWPSC24 streams/journals/cmig

Simone Saitta Marcello Carioni Subhadip Mukherjee Carola-Bibiane Schönlieb Alberto Redaelli Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI. 108057 2024 246 Comput. Methods Programs Biomed. https://doi.org/10.1016/j.cmpb.2024.108057 https://www.wikidata.org/entity/Q128261041 db/journals/cmpb/cmpb246.html#SaittaCMSR24

Antonin Chambolle Claire Delplancke Matthias J. Ehrhardt Carola-Bibiane Schönlieb Junqi Tang Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes. 294-313 2024 June 66 J. Math. Imaging Vis. 3 https://doi.org/10.1007/s10851-024-01174-1 db/journals/jmiv/jmiv66.html#ChambolleDEST24

Michael Roberts Alon Hazan Sören Dittmer James H. F. Rudd Carola-Bibiane Schönlieb The curious case of the test set AUROC. 373-376 2024 6 Nat. Mac. Intell. 4 https://doi.org/10.1038/s42256-024-00817-7 db/journals/natmi/natmi6.html#RobertsHDRS24 streams/journals/natmi

Michael Roberts Alon Hazan Sören Dittmer James H. F. Rudd Carola-Bibiane Schönlieb Publisher Correction: The curious case of the test set AUROC. 494 2024 6 Nat. Mac. Intell. 4 https://doi.org/10.1038/s42256-024-00834-6 db/journals/natmi/natmi6.html#RobertsHDRS24a streams/journals/natmi

Fan Zhang Daniel Kreuter Yichen Chen Sören Dittmer Samuel Tull Tolou Shadbahr Martijn Schut Folkert W. Asselbergs Sujoy Kar Suthesh Sivapalaratnam Sophie Williams Mickey Koh Yvonne Henskens Bart de Wit Umberto D'alessandro Bubacarr Bah Ousman Secka Parashkev Nachev Rajeev Gupta Sara Trompeter Nancy Boeckx Christine van Laer Gordon A. Awandare Kwabena Sarpong Lucas Amenga-Etego Mathie P. G. Leers Mirelle Huijskens Samuel McDermott Willem H. Ouwehand Jacobus Preller James H. F. Rudd John A. D. Aston Carola-Bibiane Schönlieb Nicholas S. Gleadall Michael Roberts Recent methodological advances in federated learning for healthcare. 101006 2024 5 Patterns 6 https://doi.org/10.1016/j.patter.2024.101006 db/journals/patterns/patterns5.html#ZhangKCDTSSAKSWKHWDBSNGTBLASAL24

Oliver M. Crook Mihai Cucuringu Tim Hurst Carola-Bibiane Schönlieb Matthew Thorpe Konstantinos C. Zygalakis A linear transportation Lp distance for pattern recognition. 110080 2024 March 147 Pattern Recognit. https://doi.org/10.1016/j.patcog.2023.110080 db/journals/pr/pr147.html#CrookCHSTZ24

Hong Ye Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb Provably Convergent Plug-and-Play Quasi-Newton Methods. 785-819 2024 17 SIAM J. Imaging Sci. 2 https://doi.org/10.1137/23m157185x db/journals/siamis/siamis17.html#TanMTS24

Ziruo Cai Junqi Tang Subhadip Mukherjee Jinglai Li Carola-Bibiane Schönlieb Xiaoqun Zhang NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems. 820-860 2024 17 SIAM J. Imaging Sci. 2 https://doi.org/10.1137/23m1581807 db/journals/siamis/siamis17.html#CaiTMLSZ24

Matthias J. Ehrhardt Lorenz Kuger Carola-Bibiane Schönlieb Proximal Langevin Sampling with Inexact Proximal Mapping. 1729-1760 2024 17 SIAM J. Imaging Sci. 3 https://doi.org/10.1137/23m1593565 db/journals/siamis/siamis17.html#EhrhardtKS24 streams/journals/siamis

Derek Driggs Matthias J. Ehrhardt Carola-Bibiane Schönlieb Junqi Tang Practical Acceleration of the Condat-Vũ Algorithm. 2076-2109 2024 17 SIAM J. Imaging Sci. 4 https://doi.org/10.1137/23m159473x db/journals/siamis/siamis17.html#DriggsEST24 streams/journals/siamis

Sergio Calvo-Ordoñez Chun-Wun Cheng Jiahao Huang Lipei Zhang Guang Yang 0006 Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero The Missing U for Efficient Diffusion Models. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=Y4YWzBiTEV db/journals/tmlr/tmlr2024.html#Calvo-OrdonezCH24

Chun-Wun Cheng Christina Runkel Lihao Liu Raymond H. Chan Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Continuous U-Net: Faster, Greater and Noiseless. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=ongi2oe3Fr db/journals/tmlr/tmlr2024.html#ChengRLCSA24

Yanqi Cheng Lipei Zhang Zhenda Shen Shujun Wang Lequan Yu Raymond H. Chan Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Single-Shot Plug-and-Play Methods for Inverse Problems. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=vXevE43NxF db/journals/tmlr/tmlr2024.html#ChengZSWYCSA24

Zhongying Deng Rihuan Ke Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=ebiAFpQ0Lw db/journals/tmlr/tmlr2024.html#DengKSA24

Hong Ye Tan Ziruo Cai Marcelo Pereyra Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=375tU7Tn0S db/journals/tmlr/tmlr2024.html#TanCPMTS24

Hong Ye Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=r2dx1s1lqG db/journals/tmlr/tmlr2024.html#TanMTS24

Jakob Träuble Lucy V. Hiscox Curtis L. Johnson Carola-Bibiane Schönlieb Gabriele Kaminski Schierle Angelica I. Avilés-Rivero Contrastive Learning with Adaptive Neighborhoods for Brain Age Prediction on 3D Stiffness Maps. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=oI2Tpd4tiP db/journals/tmlr/tmlr2024.html#TraubleHJSSA24

Philip Sellars Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification. 5306-5318 2024 April 35 IEEE Trans. Neural Networks Learn. Syst. 4 https://doi.org/10.1109/TNNLS.2022.3203315 db/journals/tnn/tnn35.html#SellarsAS24

Moshe Eliasof Eldad Haber Eran Treister Carola-Bibiane Schönlieb On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. 1792-1800 2024 AISTATS https://proceedings.mlr.press/v238/eliasof24a.html conf/aistats/2024 db/conf/aistats/aistats2024.html#EliasofHTS24 Moshe Eliasof Davide Murari Ferdia Sherry Carola-Bibiane Schönlieb Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach. 1607-1614 2024 ECAI https://doi.org/10.3233/FAIA240667 conf/ecai/2024 db/conf/ecai/ecai2024.html#EliasofMSS24 Subhadip Mukherjee Sören Dittmer Zakhar Shumaylov Sebastian Lunz Ozan Öktem Carola B. Schönlieb Data-Driven Convex Regularizers for Inverse Problems. 13386-13390 2024 ICASSP https://doi.org/10.1109/ICASSP48485.2024.10447719 conf/icassp/2024 db/conf/icassp/icassp2024.html#MukherjeeDSLOS24 Andrey Bryutkin Jiahao Huang Zhongying Deng Guang Yang 0006 Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. 2024 ICML https://proceedings.mlr.press/v235/bryutkin24a.html https://openreview.net/forum?id=nYX7I6PsL7 conf/icml/2024 db/conf/icml/icml2024.html#BryutkinHD0SA24 4624-4641 Zakhar Shumaylov Jeremy Budd Subhadip Mukherjee Carola-Bibiane Schönlieb Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation. 2024 ICML https://proceedings.mlr.press/v235/shumaylov24a.html https://openreview.net/forum?id=E8FpcUyPuS conf/icml/2024 db/conf/icml/icml2024.html#ShumaylovBMS24 45286-45314 Jan Stanczuk Georgios Batzolis Teo Deveney Carola-Bibiane Schönlieb Diffusion Models Encode the Intrinsic Dimension of Data Manifolds. 2024 ICML https://proceedings.mlr.press/v235/stanczuk24a.html https://openreview.net/forum?id=a0XiA6v256 conf/icml/2024 db/conf/icml/icml2024.html#StanczukBDS24 46412-46440 Pengze Li Lihao Liu Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Optimised Propainter for Video Diminished Reality Inpainting. 1-5 2024 ISBI https://doi.org/10.1109/ISBI56570.2024.10635380 conf/isbi/2024 db/conf/isbi/isbi2024.html#LiLSA24 streams/conf/isbi Anna Breger Clemens Karner Ian Selby Janek Gröhl Sören Dittmer Edward Lilley Judith Babar Jake Beckford Thomas R. Else Timothy J. Sadler Shahab Shahipasand Arthikkaa Thavakumar Michael Roberts Carola-Bibiane Schönlieb A Study on the Adequacy of Common IQA Measures for Medical Images. 451-462 2024 MICAD https://doi.org/10.1007/978-981-96-3863-5_41 conf/micad2/2024 db/conf/micad2/micad2024.html#BregerKSGDLBBES24 Lipei Zhang Yanqi Cheng Lihao Liu Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation. 3-13 2024 MICCAI (12) https://doi.org/10.1007/978-3-031-72390-2_1 conf/miccai/2024-12 db/conf/miccai/miccai2024-12.html#ZhangCLSA24 streams/conf/miccai Ruodan Yan Carola-Bibiane Schönlieb Chao Li 0031 Spatiotemporal Graph Neural Network Modelling Perfusion MRI. 411-421 2024 MICCAI (2) https://doi.org/10.1007/978-3-031-72069-7_39 conf/miccai/2024-2 db/conf/miccai/miccai2024-2.html#YanSL24 streams/conf/miccai Christina Runkel Ander Biguri Carola-Bibiane Schönlieb Continuous Learned Primal Dual. 1-6 2024 MLSP https://doi.org/10.1109/MLSP58920.2024.10734760 conf/mlsp/2024 db/conf/mlsp/mlsp2024.html#RunkelBS24 streams/conf/mlsp Lihao Liu Yanqi Cheng Zhongying Deng Shujun Wang Dongdong Chen 0001 Xiaowei Hu 0001 Pietro Liò Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. 1265-1273 2024 ACM Multimedia https://doi.org/10.1145/3664647.3681153 https://www.wikidata.org/entity/Q131167124 conf/mm/2024 db/conf/mm/mm2024.html#LiuCDW00LSA24 Moshe Eliasof Beatrice Bevilacqua Carola-Bibiane Schönlieb Haggai Maron GRANOLA: Adaptive Normalization for Graph Neural Networks. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/a4c17d9b88eaefc9bdf7c656ffc8ce55-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#EliasofBSM24 Krishna Sri Ipsit Mantri Xinzhi Wang Carola-Bibiane Schönlieb Bruno Ribeiro 0001 Beatrice Bevilacqua Moshe Eliasof DiGRAF: Diffeomorphic Graph-Adaptive Activation Function. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/06cf4bae7ccb6ea37b968a394edc2e33-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#MantriWS0BE24

Moshe Eliasof Eldad Haber Eran Treister Carola-Bibiane Schönlieb On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. 2024 abs/2401.11074 CoRR https://doi.org/10.48550/arXiv.2401.11074 db/journals/corr/corr2401.html#abs-2401-11074

Zakhar Shumaylov Jeremy Budd Subhadip Mukherjee Carola-Bibiane Schönlieb Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation. 2024 abs/2402.01052 CoRR https://doi.org/10.48550/arXiv.2402.01052 db/journals/corr/corr2402.html#abs-2402-01052

Andrey Bryutkin Jiahao Huang Zhongying Deng Guang Yang 0006 Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. 2024 abs/2402.03541 CoRR https://doi.org/10.48550/arXiv.2402.03541 db/journals/corr/corr2402.html#abs-2402-03541

Jiahao Huang Liutao Yang Fanwen Wang Yinzhe Wu 0001 Yang Nan 0002 Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Daoqiang Zhang Guang Yang 0006 MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation. 2024 abs/2402.18451 CoRR https://doi.org/10.48550/arXiv.2402.18451 db/journals/corr/corr2402.html#abs-2402-18451

Lipei Zhang Yanqi Cheng Lihao Liu Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation. 2024 abs/2403.09136 CoRR https://doi.org/10.48550/arXiv.2403.09136 db/journals/corr/corr2403.html#abs-2403-09136

Angelica I. Avilés-Rivero Chun-Wun Cheng Zhongying Deng Zoe Kourtzi Carola-Bibiane Schönlieb Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis. 2024 abs/2403.12719 CoRR https://doi.org/10.48550/arXiv.2403.12719 db/journals/corr/corr2403.html#abs-2403-12719

Hong Ye Tan Ziruo Cai Marcelo Pereyra Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation. 2024 abs/2404.05445 CoRR https://doi.org/10.48550/arXiv.2404.05445 db/journals/corr/corr2404.html#abs-2404-05445

Moshe Eliasof Beatrice Bevilacqua Carola-Bibiane Schönlieb Haggai Maron GRANOLA: Adaptive Normalization for Graph Neural Networks. 2024 abs/2404.13344 CoRR https://doi.org/10.48550/arXiv.2404.13344 db/journals/corr/corr2404.html#abs-2404-13344

Alessio Gravina Moshe Eliasof Claudio Gallicchio Davide Bacciu Carola-Bibiane Schönlieb Tackling Graph Oversquashing by Global and Local Non-Dissipativity. 2024 abs/2405.01009 CoRR https://doi.org/10.48550/arXiv.2405.01009 db/journals/corr/corr2405.html#abs-2405-01009

Christina Runkel Ander Biguri Carola-Bibiane Schönlieb Continuous Learned Primal Dual. 2024 abs/2405.02478 CoRR https://doi.org/10.48550/arXiv.2405.02478 db/journals/corr/corr2405.html#abs-2405-02478

Xiaodan Xing Fadong Shi Jiahao Huang Yinzhe Wu 0001 Yang Nan 0002 Sheng Zhang 0024 Yingying Fang Mike Roberts Carola-Bibiane Schönlieb Javier Del Ser Guang Yang 0006 When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI. 2024 abs/2405.09597 CoRR https://doi.org/10.48550/arXiv.2405.09597 db/journals/corr/corr2405.html#abs-2405-09597

Jiahao Huang Liutao Yang Fanwen Wang Yang Nan 0002 Weiwen Wu Chengyan Wang Kuangyu Shi Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Daoqiang Zhang Guang Yang 0006 Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba. 2024 abs/2405.17659 CoRR https://doi.org/10.48550/arXiv.2405.17659 db/journals/corr/corr2405.html#abs-2405-17659

Fan Zhang Carlos Esteve Yagüe Sören Dittmer Carola-Bibiane Schönlieb Michael Roberts FedMAP: Unlocking Potential in Personalized Federated Learning through Bi-Level MAP Optimization. 2024 abs/2405.19000 CoRR https://doi.org/10.48550/arXiv.2405.19000 db/journals/corr/corr2405.html#abs-2405-19000

Anna Breger Ander Biguri Malena Sabaté Landman Ian Selby Nicole Amberg Elisabeth Brunner Janek Gröhl Sepideh Hatamikia Clemens Karner Lipeng Ning Sören Dittmer Michael Roberts AIX-COVNET Collaboration Carola-Bibiane Schönlieb A study of why we need to reassess full reference image quality assessment with medical images. 2024 abs/2405.19097 CoRR https://doi.org/10.48550/arXiv.2405.19097 db/journals/corr/corr2405.html#abs-2405-19097

Anna Breger Clemens Karner Ian Selby Janek Gröhl Sören Dittmer Edward Lilley Judith Babar Jake Beckford Timothy J. Sadler Shahab Shahipasand Arthikkaa Thavakumar Michael Roberts Carola-Bibiane Schönlieb A study on the adequacy of common IQA measures for medical images. 2024 abs/2405.19224 CoRR https://doi.org/10.48550/arXiv.2405.19224 db/journals/corr/corr2405.html#abs-2405-19224

Pengze Li Lihao Liu Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Optimised ProPainter for Video Diminished Reality Inpainting. 2024 abs/2406.02287 CoRR https://doi.org/10.48550/arXiv.2406.02287 db/journals/corr/corr2406.html#abs-2406-02287

Chaoyan Huang Zhongming Wu Yanqi Cheng Tieyong Zeng Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems. 2024 abs/2406.02458 CoRR https://doi.org/10.48550/arXiv.2406.02458 db/journals/corr/corr2406.html#abs-2406-02458

Ruodan Yan Carola-Bibiane Schönlieb Chao Li 0031 Spatiotemporal Graph Neural Network Modelling Perfusion MRI. 2024 abs/2406.06434 CoRR https://doi.org/10.48550/arXiv.2406.06434 db/journals/corr/corr2406.html#abs-2406-06434 streams/journals/corr

Krishna Sri Ipsit Mantri Xinzhi Wang Carola-Bibiane Schönlieb Bruno Ribeiro 0001 Beatrice Bevilacqua Moshe Eliasof DiGRAF: Diffeomorphic Graph-Adaptive Activation Function. 2024 abs/2407.02013 CoRR https://doi.org/10.48550/arXiv.2407.02013 db/journals/corr/corr2407.html#abs-2407-02013 streams/journals/corr

James Rowbottom Georg Maierhofer Teo Deveney Katharina Schratz Pietro Liò Carola-Bibiane Schönlieb Chris J. Budd G-Adaptive mesh refinement - leveraging graph neural networks and differentiable finite element solvers. 2024 abs/2407.04516 CoRR https://doi.org/10.48550/arXiv.2407.04516 db/journals/corr/corr2407.html#abs-2407-04516 streams/journals/corr

Juheon Lee Xiaohao Cai Carola-Bibiane Schönlieb Simon Masnou Neural varifolds: an aggregate representation for quantifying the geometry of point clouds. 2024 abs/2407.04844 CoRR https://doi.org/10.48550/arXiv.2407.04844 db/journals/corr/corr2407.html#abs-2407-04844 streams/journals/corr

Yi Zhang 0109 Chun-Wun Cheng Ke Yu Zhihai He Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning. 2024 abs/2407.08672 CoRR https://doi.org/10.48550/arXiv.2407.08672 db/journals/corr/corr2407.html#abs-2407-08672 streams/journals/corr

Jakob Träuble Lucy V. Hiscox Curtis L. Johnson Carola-Bibiane Schönlieb Gabriele Kaminski Schierle Angelica I. Avilés-Rivero Contrastive Learning with Dynamic Localized Repulsion for Brain Age Prediction on 3D Stiffness Maps. 2024 abs/2408.00527 CoRR https://doi.org/10.48550/arXiv.2408.00527 db/journals/corr/corr2408.html#abs-2408-00527 streams/journals/corr

Hong Ye Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds. 2024 abs/2408.06996 CoRR https://doi.org/10.48550/arXiv.2408.06996 db/journals/corr/corr2408.html#abs-2408-06996 streams/journals/corr

Maximilian B. Kiss Ander Biguri Carola-Bibiane Schönlieb Kees Joost Batenburg Felix Lucka Learned denoising with simulated and experimental low-dose CT data. 2024 abs/2408.08115 CoRR https://doi.org/10.48550/arXiv.2408.08115 db/journals/corr/corr2408.html#abs-2408-08115 streams/journals/corr

Simon Deltadahl Julian D. Gilbey Christine van Laer Nancy Boeckx Mathie P. G. Leers Tanya Freeman Laura Aiken Timothy Farren Matthew Smith Mohamad Zeina BloodCounts Consortium Concetta Piazzese Joseph Taylor Nicholas S. Gleadall Carola-Bibiane Schönlieb Suthesh Sivapalaratnam Michael Roberts Parashkev Nachev Deep Generative Classification of Blood Cell Morphology. 2024 abs/2408.08982 CoRR https://doi.org/10.48550/arXiv.2408.08982 db/journals/corr/corr2408.html#abs-2408-08982 streams/journals/corr

Moshe Eliasof Md Shahriar Rahim Siddiqui Carola-Bibiane Schönlieb Eldad Haber Learning Regularization for Graph Inverse Problems. 2024 abs/2408.10436 CoRR https://doi.org/10.48550/arXiv.2408.10436 db/journals/corr/corr2408.html#abs-2408-10436 streams/journals/corr

Tobias Wolf Derek Driggs Kostas Papafitsoros Elena Resmerita Carola-Bibiane Schönlieb Nested Bregman Iterations for Decomposition Problems. 2024 abs/2409.01097 CoRR https://doi.org/10.48550/arXiv.2409.01097 db/journals/corr/corr2409.html#abs-2409-01097 streams/journals/corr

Liutao Yang Jiahao Huang Yingying Fang Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Daoqiang Zhang Guang Yang 0006 Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction. 2024 abs/2409.01544 CoRR https://doi.org/10.48550/arXiv.2409.01544 db/journals/corr/corr2409.html#abs-2409-01544 streams/journals/corr

Stathis Megas Daniel G. Chen Krzysztof Polanski Moshe Eliasof Carola-Bibiane Schönlieb Sarah A. Teichmann Celcomen: spatial causal disentanglement for single-cell and tissue perturbation modeling. 2024 abs/2409.05804 CoRR https://doi.org/10.48550/arXiv.2409.05804 db/journals/corr/corr2409.html#abs-2409-05804 streams/journals/corr

Yangming Li Chieh-Hsin Lai Carola-Bibiane Schönlieb Yuki Mitsufuji Stefano Ermon Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space. 2024 abs/2410.01796 CoRR https://doi.org/10.48550/arXiv.2410.01796 db/journals/corr/corr2410.html#abs-2410-01796 streams/journals/corr

Willem Diepeveen Georgios Batzolis Zakhar Shumaylov Carola-Bibiane Schönlieb Score-based pullback Riemannian geometry. 2024 abs/2410.01950 CoRR https://doi.org/10.48550/arXiv.2410.01950 db/journals/corr/corr2410.html#abs-2410-01950 streams/journals/corr

Chun-Wun Cheng Jiahao Huang Yi Zhang 0109 Guang Yang 0006 Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs. 2024 abs/2410.02113 CoRR https://doi.org/10.48550/arXiv.2410.02113 db/journals/corr/corr2410.html#abs-2410-02113 streams/journals/corr

Zakhar Shumaylov Peter Zaika James Rowbottom Ferdia Sherry Melanie Weber 0001 Carola-Bibiane Schönlieb Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups. 2024 abs/2410.02698 CoRR https://doi.org/10.48550/arXiv.2410.02698 db/journals/corr/corr2410.html#abs-2410-02698 streams/journals/corr

Friso de Kruiff Erik J. Bekkers Ozan Öktem Carola-Bibiane Schönlieb Willem Diepeveen Pullback Flow Matching on Data Manifolds. 2024 abs/2410.04543 CoRR https://doi.org/10.48550/arXiv.2410.04543 db/journals/corr/corr2410.html#abs-2410-04543 streams/journals/corr

Priscilla Canizares Davide Murari Carola-Bibiane Schönlieb Ferdia Sherry Zakhar Shumaylov Hamiltonian Matching for Symplectic Neural Integrators. 2024 abs/2410.18262 CoRR https://doi.org/10.48550/arXiv.2410.18262 db/journals/corr/corr2410.html#abs-2410-18262 streams/journals/corr

Clemens Karner Janek Gröhl Ian Selby Judith Babar Jake Beckford Thomas R. Else Timothy J. Sadler Shahab Shahipasand Arthikkaa Thavakumar Michael Roberts James H. F. Rudd Carola-Bibiane Schönlieb Jonathan R. Weir-McCall Anna Breger Parameter choices in HaarPSI for IQA with medical images. 2024 abs/2410.24098 CoRR https://doi.org/10.48550/arXiv.2410.24098 db/journals/corr/corr2410.html#abs-2410-24098 streams/journals/corr

Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson On the Utilization of Unique Node Identifiers in Graph Neural Networks. 2024 abs/2411.02271 CoRR https://doi.org/10.48550/arXiv.2411.02271 db/journals/corr/corr2411.html#abs-2411-02271 streams/journals/corr

Amer Essakine Yanqi Cheng Chun-Wun Cheng Lipei Zhang Zhongying Deng Lei Zhu 0003 Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey. 2024 abs/2411.03688 CoRR https://doi.org/10.48550/arXiv.2411.03688 db/journals/corr/corr2411.html#abs-2411-03688 streams/journals/corr

Yanqi Cheng Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero You KAN Do It in a Single Shot: Plug-and-Play Methods with Single-Instance Priors. 2024 abs/2412.06204 CoRR https://doi.org/10.48550/arXiv.2412.06204 db/journals/corr/corr2412.html#abs-2412-06204 streams/journals/corr

Billy Joe Franks Moshe Eliasof Semih Cantürk Guy Wolf Carola-Bibiane Schönlieb Sophie Fellenz Marius Kloft Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings. 2024 abs/2412.07407 CoRR https://doi.org/10.48550/arXiv.2412.07407 db/journals/corr/corr2412.html#abs-2412-07407 streams/journals/corr

Maximilian B. Kiss Ander Biguri Zakhar Shumaylov Ferdia Sherry Kees Joost Batenburg Carola-Bibiane Schönlieb Felix Lucka Benchmarking learned algorithms for computed tomography image reconstruction tasks. 2024 abs/2412.08350 CoRR https://doi.org/10.48550/arXiv.2412.08350 db/journals/corr/corr2412.html#abs-2412-08350 streams/journals/corr

Christina Runkel Kanchana Vaishnavi Gandikota Jonas Geiping Carola-Bibiane Schönlieb Michael Moeller 0001 Training Data Reconstruction: Privacy due to Uncertainty? 2024 abs/2412.08544 CoRR https://doi.org/10.48550/arXiv.2412.08544 db/journals/corr/corr2412.html#abs-2412-08544 streams/journals/corr

Ander Biguri Tomoyuki Sadakane Reuben Lindroos Yi Liu Malena Sabaté Landman Yi Du Manasavee Lohvithee Stefanie Kaser Sepideh Hatamikia Robert Bryll Emilien Valat Sarinrat Wonglee Thomas Blumensath Carola-Bibiane Schönlieb TIGRE v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets. 2024 abs/2412.10129 CoRR https://doi.org/10.48550/arXiv.2412.10129 db/journals/corr/corr2412.html#abs-2412-10129 streams/journals/corr

Alessandro Perelli Carola-Bibiane Schönlieb Matthias J. Ehrhardt Stochastic Multiresolution Image Sketching for Inverse Imaging Problems. 2024 abs/2412.10249 CoRR https://doi.org/10.48550/arXiv.2412.10249 db/journals/corr/corr2412.html#abs-2412-10249 streams/journals/corr

Yi Zhang 0109 Chun-Wun Cheng Junyi He Zhihai He Carola-Bibiane Schönlieb Yuyan Chen Angelica I. Avilés-Rivero Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations. 2024 abs/2412.15813 CoRR https://doi.org/10.48550/arXiv.2412.15813 db/journals/corr/corr2412.html#abs-2412-15813 streams/journals/corr

Priscilla Canizares Davide Murari Carola-Bibiane Schönlieb Ferdia Sherry Zakhar Shumaylov Symplectic Neural Flows for Modeling and Discovery. 2024 abs/2412.16787 CoRR https://doi.org/10.48550/arXiv.2412.16787 db/journals/corr/corr2412.html#abs-2412-16787 streams/journals/corr

Fabrizio Frasca Fabian Jogl Moshe Eliasof Matan Ostrovsky Carola-Bibiane Schönlieb Thomas Gärtner 0001 Haggai Maron Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNs. 2024 abs/2412.17609 CoRR https://doi.org/10.48550/arXiv.2412.17609 db/journals/corr/corr2412.html#abs-2412-17609 streams/journals/corr

Michael Yeung Leonardo Rundo Yang Nan 0002 Evis Sala Carola-Bibiane Schönlieb Guang Yang 0006 Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation. 739-752 2023 April 36 J. Digit. Imaging 2 https://doi.org/10.1007/s10278-022-00735-3 db/journals/jdi/jdi36.html#YeungRNSSY23

Kexin Jin Jonas Latz Chenguang Liu Carola-Bibiane Schönlieb A Continuous-time Stochastic Gradient Descent Method for Continuous Data. 274:1-274:48 2023 24 J. Mach. Learn. Res. http://jmlr.org/papers/v24/21-1463.html db/journals/jmlr/jmlr24.html#JinLLS23

Sören Dittmer Michael Roberts Julian D. Gilbey Ander Biguri Ian Selby Anna Breger Matthew Thorpe Jonathan R. Weir-McCall Effrossyni Gkrania-Klotsas Anna Korhonen Emily R. Jefferson Georg Langs Guang Yang 0006 Helmut Prosch Jan Stanczuk Jing Tang 0002 Judith Babar Lorena Escudero Sanchez Philip Teare Mishal Patel Marcel Wassin Markus Holzer 0003 Nicholas Walton Pietro Lió Tolou Shadbahr Evis Sala Jacobus Preller James H. F. Rudd John A. D. Aston Carola-Bibiane Schönlieb Navigating the development challenges in creating complex data systems. 681-686 2023 July 5 Nat. Mac. Intell. 7 https://doi.org/10.1038/s42256-023-00665-x db/journals/natmi/natmi5.html#DittmerRGBSBTWGKJLYPSTBSTPWHWLSSP23

Jeremy Budd Yves van Gennip Jonas Latz Simone Parisotto Carola-Bibiane Schönlieb Joint Reconstruction-Segmentation on Graphs. 911-947 2023 June 16 SIAM J. Imaging Sci. 2 https://doi.org/10.1137/22m151546x db/journals/siamis/siamis16.html#BuddGLPS23

Willem Diepeveen Jan Lellmann Ozan Öktem Carola-Bibiane Schönlieb Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds. 1440-1490 2023 September 16 SIAM J. Imaging Sci. 3 https://doi.org/10.1137/22m1520773 db/journals/siamis/siamis16.html#DiepeveenLOS23

Elena Celledoni Davide Murari Brynjulf Owren Carola-Bibiane Schönlieb Ferdia Sherry Dynamical Systems-Based Neural Networks. 3071-3094 2023 June 45 SIAM J. Sci. Comput. 3 https://doi.org/10.1137/22m1527337 db/journals/siamsc/siamsc45.html#CelledoniMOSS23

Hong Ye Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb Data-Driven Mirror Descent with Input-Convex Neural Networks. 558-587 2023 June 5 SIAM J. Math. Data Sci. 2 https://doi.org/10.1137/22m1508613 db/journals/simods/simods5.html#TanMTS23

Dongdong Chen 0004 Mike E. Davies 0001 Matthias J. Ehrhardt Carola-Bibiane Schönlieb Ferdia Sherry Julián Tachella Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. 134-147 2023 40 IEEE Signal Process. Mag. 1 https://doi.org/10.1109/MSP.2022.3205430 db/journals/spm/spm40.html#ChenDESST23

Subhadip Mukherjee Andreas Hauptmann Ozan Öktem Marcelo Pereyra Carola-Bibiane Schönlieb Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications. 164-182 2023 40 IEEE Signal Process. Mag. 1 https://doi.org/10.1109/MSP.2022.3207451 db/journals/spm/spm40.html#MukherjeeHOPS23

Huazhu Fu Yitian Zhao Pew-Thian Yap Carola-Bibiane Schönlieb Alejandro F. Frangi Guest Editorial Special Issue on Geometric Deep Learning in Medical Imaging. 332-335 2023 February 42 IEEE Trans. Medical Imaging 2 https://doi.org/10.1109/TMI.2022.3231755 db/journals/tmi/tmi42.html#FuZYSF23

Yiran Wei 0002 Xi Chen 0042 Lei Zhu 0003 Lipei Zhang Carola-Bibiane Schönlieb Stephen J. Price Chao Li 0031 Multi-Modal Learning for Predicting the Genotype of Glioma. 3167-3178 2023 November 42 IEEE Trans. Medical Imaging 11 https://doi.org/10.1109/TMI.2023.3244038 db/journals/tmi/tmi42.html#WeiCZZSPL23

Lei Zhu 0003 Xiaoqiang Wang 0007 Ping Li 0016 Xin Yang 0011 Qing Zhang 0006 Weiming Wang 0002 Carola-Bibiane Schönlieb C. L. Philip Chen S $^3$ Net: Self-Supervised Self-Ensembling Network for Semi-Supervised RGB-D Salient Object Detection. 676-689 2023 25 IEEE Trans. Multim. https://doi.org/10.1109/TMM.2021.3129730 db/journals/tmm/tmm25.html#ZhuWLYZWSC23

Lihao Liu Jean Prost Lei Zhu 0003 Nicolas Papadakis Pietro Liò Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero SCOTCH and SODA: A Transformer Video Shadow Detection Framework. 10449-10458 2023 CVPR https://doi.org/10.1109/CVPR52729.2023.01007 conf/cvpr/2023 db/conf/cvpr/cvpr2023.html#LiuPZPLSA23 Hong Ye Tan Subhadip Mukherjee Junqi Tang Andreas Hauptmann Carola-Bibiane Schönlieb Robust Data-Driven Accelerated Mirror Descent. 1-5 2023 ICASSP https://doi.org/10.1109/ICASSP49357.2023.10096875 conf/icassp/2023 db/conf/icassp/icassp2023.html#TanMTHS23 Jan Oscar Cross-Zamirski Praveen Anand Guy B. Williams Elizabeth Mouchet Yinhai Wang Carola-Bibiane Schönlieb Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels. 3802-3811 2023 ICCV (Workshops) https://doi.org/10.1109/ICCVW60793.2023.00411 conf/iccvw/2023 db/conf/iccvw/iccvw2023.html#Cross-ZamirskiA23 Jiahao Huang Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Guang Yang 0006 ViGU: Vision GNN U-Net for fast MRI. 1-5 2023 ISBI https://doi.org/10.1109/ISBI53787.2023.10230600 conf/isbi/2023 db/conf/isbi/isbi2023.html#HuangASY23 Chao Li 0031 Wenjian Huang 0001 Xi Chen 0042 Yiran Wei 0002 Lipei Zhang Jianguo Zhang 0001 Stephen J. Price Carola-Bibiane Schönlieb Expectation-Maximization Regularised Deep Learning for Tumour Segmentation. 1-5 2023 ISBI https://doi.org/10.1109/ISBI53787.2023.10230573 conf/isbi/2023 db/conf/isbi/isbi2023.html#LiHCWZZPS23 Yiran Wei 0002 Xi Chen 0042 Carola-Bibiane Schönlieb Stephen J. Price Chao Li 0031 Predicting Conversion of Mild Cognitive Impairment to Alzheimer's Disease by Modelling Healthy Ageing Trajectories. 1-5 2023 ISBI https://doi.org/10.1109/ISBI53787.2023.10230694 conf/isbi/2023 db/conf/isbi/isbi2023.html#WeiCSPL23 Jiahao Huang Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Guang Yang 0006 CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? 3-12 2023 MICCAI (10) https://doi.org/10.1007/978-3-031-43999-5_1 conf/miccai/2023-10 db/conf/miccai/miccai2023-10.html#HuangASY23 Yifan Li Chao Li 0031 Yiran Wei 0002 Stephen J. Price Carola-Bibiane Schönlieb Xi Chen 0042 G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping. 21-30 2023 CMMCA@MICCAI https://doi.org/10.1007/978-3-031-45087-7_3 conf/miccai/2023cmmca db/conf/miccai/cmmca2023.html#LiLWPSC23 Yijun Yang Huazhu Fu Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Lei Zhu 0003 DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. 95-105 2023 MICCAI (6) https://doi.org/10.1007/978-3-031-43987-2_10 conf/miccai/2023-6 db/conf/miccai/miccai2023-6.html#YangFASZ23 Christina Runkel Michael Möller 0001 Carola-Bibiane Schönlieb Christian Etmann Learning Posterior Distributions in Underdetermined Inverse Problems. 187-209 2023 SSVM https://doi.org/10.1007/978-3-031-31975-4_15 conf/scalespace/2023 db/conf/scalespace/ssvm2023.html#RunkelMSE23 Yanqi Cheng Lihao Liu Shujun Wang Yueming Jin Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness. 177-189 2023 TML4H https://doi.org/10.1007/978-3-031-39539-0_15 conf/tml4h/2023 db/conf/tml4h/tml4h2023.html#ChengLWJSA23

Chun-Wun Cheng Christina Runkel Lihao Liu Raymond H. Chan Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Continuous U-Net: Faster, Greater and Noiseless. 2023 abs/2302.00626 CoRR https://doi.org/10.48550/arXiv.2302.00626 db/journals/corr/corr2302.html#abs-2302-00626

Tamara G. Grossmann Urszula Julia Komorowska Jonas Latz Carola-Bibiane Schönlieb Can Physics-Informed Neural Networks beat the Finite Element Method? 2023 abs/2302.04107 CoRR https://doi.org/10.48550/arXiv.2302.04107 db/journals/corr/corr2302.html#abs-2302-04107

Jiahao Huang Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Guang Yang 0006 ViGU: Vision GNN U-Net for Fast MRI. 2023 abs/2302.10273 CoRR https://doi.org/10.48550/arXiv.2302.10273 db/journals/corr/corr2302.html#abs-2302-10273

Simone Saitta Marcello Carioni Subhadip Mukherjee Carola-Bibiane Schönlieb Alberto Redaelli Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI. 2023 abs/2302.12835 CoRR https://doi.org/10.48550/arXiv.2302.12835 db/journals/corr/corr2302.html#abs-2302-12835

Tamara G. Grossmann Carola-Bibiane Schönlieb Orietta Da Rold Hidden Knowledge: Mathematical Methods for the Extraction of the Fingerprint of Medieval Paper from Digital Images. 2023 abs/2303.03794 CoRR https://doi.org/10.48550/arXiv.2303.03794 db/journals/corr/corr2303.html#abs-2303-03794

Simon Graham Quoc Dang Vu Mostafa Jahanifar Martin Weigert 0001 Uwe Schmidt Wenhua Zhang Jun Zhang 0018 Sen Yang 0006 Jinxi Xiang Xiyue Wang Josef Lorenz Rumberger Elias Baumann Peter Hirsch 0001 Lihao Liu Chenyang Hong Angelica I. Avilés-Rivero Ayushi Jain Heeyoung Ahn Yiyu Hong Hussam Azzuni Min Xu 0009 Mohammad Yaqub Marie-Claire Blache Benoît Piégu Bertrand Vernay Tim Scherr Moritz Böhland Katharina Löffler Jiachen Li Weiqin Ying Chixin Wang Dagmar Kainmueller Carola-Bibiane Schönlieb Shuolin Liu Dhairya Talsania Yughender Meda Prakash Mishra Muhammad Ridzuan Oliver Neumann Marcel P. Schilling Markus Reischl Ralf Mikut Banban Huang Hsiang-Chin Chien Ching-Ping Wang Chia-Yen Lee Hong-Kun Lin Zaiyi Liu Xipeng Pan Chu Han Jijun Cheng Muhammad Dawood Srijay Deshpande Raja Muhammad Saad Bashir Adam Shephard Pedro Costa 0005 João D. Nunes Aurélio Campilho Jaime S. Cardoso 0001 Hrishikesh P. S Densen Puthussery Devika R. G. Jiji C. V. Ye Zhang 0043 Zijie Fang Zhifan Lin Yongbing Zhang 0002 Chunhui Lin Liukun Zhang Lijian Mao Min Wu Thi Tuong Vi Vo Soo-Hyung Kim Taebum Lee Satoshi Kondo Satoshi Kasai Pranay Dumbhare Vedant Phuse Yash Dubey Ankush Jamthikar Trinh Thi Le Vuong Jin Tae Kwak Dorsa Ziaei Hyun Jung Tianyi Miao David R. J. Snead Shan-E-Ahmed Raza Fayyaz Minhas Nasir M. Rajpoot CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. 2023 abs/2303.06274 CoRR https://doi.org/10.48550/arXiv.2303.06274 db/journals/corr/corr2303.html#abs-2303-06274

Hong Ye Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb Provably Convergent Plug-and-Play Quasi-Newton Methods. 2023 abs/2303.07271 CoRR https://doi.org/10.48550/arXiv.2303.07271 db/journals/corr/corr2303.html#abs-2303-07271

Jing Zou Noémie Debroux Lihao Liu Jing Qin 0001 Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation. 2023 abs/2303.08113 CoRR https://doi.org/10.48550/arXiv.2303.08113 db/journals/corr/corr2303.html#abs-2303-08113

Jan Oscar Cross-Zamirski Praveen Anand Guy B. Williams Elizabeth Mouchet Yinhai Wang Carola-Bibiane Schönlieb Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels. 2023 abs/2303.08863 CoRR https://doi.org/10.48550/arXiv.2303.08863 db/journals/corr/corr2303.html#abs-2303-08863

Shujun Wang Angelica I. Avilés-Rivero Zoe Kourtzi Carola-Bibiane Schönlieb HGIB: Prognosis for Alzheimer's Disease via Hypergraph Information Bottleneck. 2023 abs/2303.10390 CoRR https://doi.org/10.48550/arXiv.2303.10390 db/journals/corr/corr2303.html#abs-2303-10390

Yijun Yang Huazhu Fu Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Lei Zhu 0003 DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. 2023 abs/2303.10610 CoRR https://doi.org/10.48550/arXiv.2303.10610 db/journals/corr/corr2303.html#abs-2303-10610

Jiahao Huang Pedro F. Ferreira Lichao Wang Yinzhe Wu 0001 Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Andrew D. Scott Zohya Khalique Maria Dwornik Ramyah Rajakulasingam Ranil De Silva Dudley J. Pennell Sonia Nielles-Vallespin Guang Yang 0006 Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study. 2023 abs/2304.00996 CoRR https://doi.org/10.48550/arXiv.2304.00996 db/journals/corr/corr2304.html#abs-2304-00996

Ziruo Cai Junqi Tang Subhadip Mukherjee Jinglai Li Carola-Bibiane Schönlieb Xiaoqun Zhang NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems. 2023 abs/2304.08342 CoRR https://doi.org/10.48550/arXiv.2304.08342 db/journals/corr/corr2304.html#abs-2304-08342

Georgios Batzolis Jan Stanczuk Carola-Bibiane Schönlieb Variational Diffusion Auto-encoder: Deep Latent Variable Model with Unconditional Diffusion Prior. 2023 abs/2304.12141 CoRR https://doi.org/10.48550/arXiv.2304.12141 db/journals/corr/corr2304.html#abs-2304-12141

Daniel Kreuter Samuel Tull Julian D. Gilbey Jacobus Preller BloodCounts Consortium John A. D. Aston James H. F. Rudd Suthesh Sivapalaratnam Carola-Bibiane Schönlieb Nicholas S. Gleadall Michael Roberts Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data. 2023 abs/2306.09177 CoRR https://doi.org/10.48550/arXiv.2306.09177 db/journals/corr/corr2306.html#abs-2306-09177

Jiahao Huang Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Guang Yang 0006 CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? 2023 abs/2306.14350 CoRR https://doi.org/10.48550/arXiv.2306.14350 db/journals/corr/corr2306.html#abs-2306-14350

Ferdia Sherry Elena Celledoni Matthias J. Ehrhardt Davide Murari Brynjulf Owren Carola-Bibiane Schönlieb Designing Stable Neural Networks using Convex Analysis and ODEs. 2023 abs/2306.17332 CoRR https://doi.org/10.48550/arXiv.2306.17332 db/journals/corr/corr2306.html#abs-2306-17332

Matthias J. Ehrhardt Lorenz Kuger Carola-Bibiane Schönlieb Proximal Langevin Sampling With Inexact Proximal Mapping. 2023 abs/2306.17737 CoRR https://doi.org/10.48550/arXiv.2306.17737 db/journals/corr/corr2306.html#abs-2306-17737

Chaoyu Liu Zhonghua Qiao Chao Li 0031 Carola-Bibiane Schönlieb Inverse Evolution Layers: Physics-informed Regularizers for Deep Neural Networks. 2023 abs/2307.07344 CoRR https://doi.org/10.48550/arXiv.2307.07344 db/journals/corr/corr2307.html#abs-2307-07344

Andreas Hauptmann Subhadip Mukherjee Carola-Bibiane Schönlieb Ferdia Sherry Convergent regularization in inverse problems and linear plug-and-play denoisers. 2023 abs/2307.09441 CoRR https://doi.org/10.48550/arXiv.2307.09441 db/journals/corr/corr2307.html#abs-2307-09441

Sören Dittmer Michael Roberts Jacobus Preller AIX-COVNET Collaboration James H. F. Rudd John A. D. Aston Carola-Bibiane Schönlieb Reinterpreting survival analysis in the universal approximator age. 2023 abs/2307.13579 CoRR https://doi.org/10.48550/arXiv.2307.13579 db/journals/corr/corr2307.html#abs-2307-13579

Yijun Yang Shujun Wang Lihao Liu Sarah Hickman Fiona J. Gilbert Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening. 2023 abs/2308.01057 CoRR https://doi.org/10.48550/arXiv.2308.01057 db/journals/corr/corr2308.html#abs-2308-01057

Willem Diepeveen Carlos Esteve Yagüe Jan Lellmann Ozan Öktem Carola-Bibiane Schönlieb Riemannian geometry for efficient analysis of protein dynamics data. 2023 abs/2308.07818 CoRR https://doi.org/10.48550/arXiv.2308.07818 db/journals/corr/corr2308.html#abs-2308-07818

B. A. Schreiber J. Denholm F. Jaeckle M. J. Arends Kim M. Branson Carola-Bibiane Schönlieb E. J. Soilleux Bang and the Artefacts are Gone! Rapid Artefact Removal and Tissue Segmentation in Haematoxylin and Eosin Stained Biopsies. 2023 abs/2308.13304 CoRR https://doi.org/10.48550/arXiv.2308.13304 db/journals/corr/corr2308.html#abs-2308-13304

Fan Zhang Daniel Kreuter Yichen Chen Sören Dittmer Samuel Tull Tolou Shadbahr BloodCounts Collaboration Jacobus Preller James H. F. Rudd John A. D. Aston Carola-Bibiane Schönlieb Nicholas S. Gleadall Michael Roberts Recent Methodological Advances in Federated Learning for Healthcare. 2023 abs/2310.02874 CoRR https://doi.org/10.48550/arXiv.2310.02874 db/journals/corr/corr2310.html#abs-2310-02874

Zakhar Shumaylov Jeremy Budd Subhadip Mukherjee Carola-Bibiane Schönlieb Provably Convergent Data-Driven Convex-Nonconvex Regularization. 2023 abs/2310.05812 CoRR https://doi.org/10.48550/arXiv.2310.05812 db/journals/corr/corr2310.html#abs-2310-05812

Sergio Calvo-Ordoñez Jiahao Huang Lipei Zhang Guang Yang 0006 Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Beyond U: Making Diffusion Models Faster & Lighter. 2023 abs/2310.20092 CoRR https://doi.org/10.48550/arXiv.2310.20092 db/journals/corr/corr2310.html#abs-2310-20092

Moshe Eliasof Davide Murari Ferdia Sherry Carola-Bibiane Schönlieb Contractive Systems Improve Graph Neural Networks Against Adversarial Attacks. 2023 abs/2311.06942 CoRR https://doi.org/10.48550/arXiv.2311.06942 db/journals/corr/corr2311.html#abs-2311-06942

Lihao Liu Yanqi Cheng Dongdong Chen 0004 Jing He Pietro Liò Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Traffic Video Object Detection using Motion Prior. 2023 abs/2311.10092 CoRR https://doi.org/10.48550/arXiv.2311.10092 db/journals/corr/corr2311.html#abs-2311-10092

Zhenda Shen Yanqi Cheng Raymond H. Chan Pietro Liò Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations. 2023 abs/2311.13610 CoRR https://doi.org/10.48550/arXiv.2311.13610 db/journals/corr/corr2311.html#abs-2311-13610

Yanqi Cheng Lipei Zhang Zhenda Shen Shujun Wang Lequan Yu Raymond H. Chan Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Single-Shot Plug-and-Play Methods for Inverse Problems. 2023 abs/2311.13682 CoRR https://doi.org/10.48550/arXiv.2311.13682 db/journals/corr/corr2311.html#abs-2311-13682

Teo Deveney Jan Stanczuk Lisa Maria Kreusser Chris J. Budd Carola-Bibiane Schönlieb Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation. 2023 abs/2311.15996 CoRR https://doi.org/10.48550/arXiv.2311.15996 db/journals/corr/corr2311.html#abs-2311-15996

Lihao Liu Yanqi Cheng Zhongying Deng Shujun Wang Dongdong Chen 0004 Xiaowei Hu 0001 Pietro Liò Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. 2023 abs/2311.18839 CoRR https://doi.org/10.48550/arXiv.2311.18839 db/journals/corr/corr2311.html#abs-2311-18839

Michael Roberts Alon Hazan Sören Dittmer James H. F. Rudd Carola-Bibiane Schönlieb The curious case of the test set AUROC. 2023 abs/2312.16188 CoRR https://doi.org/10.48550/arXiv.2312.16188 db/journals/corr/corr2312.html#abs-2312-16188

Michael Yeung Evis Sala Carola-Bibiane Schönlieb Leonardo Rundo Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation. 102026 2022 95 Comput. Medical Imaging Graph. https://doi.org/10.1016/j.compmedimag.2021.102026 db/journals/cmig/cmig95.html#YeungSSR22

Erlend Skaldehaug Riis Matthias J. Ehrhardt G. R. W. Quispel Carola-Bibiane Schönlieb A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation. 1351-1394 2022 22 Found. Comput. Math. 5 https://doi.org/10.1007/s10208-020-09489-2 db/journals/focm/focm22.html#RiisEQS22

Yang Nan 0002 Javier Del Ser Simon Walsh Carola Schönlieb Michael Roberts Ian Selby Kit Howard John Owen Jon Neville Julien Guiot Benoit Ernst Ana Pastor Angel Alberich-Bayarri Marion I. Menzel Sean Walsh 0004 Wim Vos Nina Flerin Jean-Paul Charbonnier Eva M. van Rikxoort Avishek Chatterjee Henry C. Woodruff Philippe Lambin Leonor Cerdá Alberich Luis Martí-Bonmatí Francisco Herrera Guang Yang 0006 Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. 99-122 2022 82 Inf. Fusion https://doi.org/10.1016/j.inffus.2022.01.001 db/journals/inffus/inffus82.html#NanSWSRSHONGEPA22

Bogdan Toader Jérôme Boulanger Yury Korolev Martin O. Lenz James Manton Carola-Bibiane Schönlieb Leila Muresan Image Reconstruction in Light-Sheet Microscopy: Spatially Varying Deconvolution and Mixed Noise. 968-992 2022 64 J. Math. Imaging Vis. 9 https://doi.org/10.1007/s10851-022-01100-3 db/journals/jmiv/jmiv64.html#ToaderBKLMSM22

Kaixuan Wei Angelica I. Avilés-Rivero Jingwei Liang Ying Fu 0001 Hua Huang 0001 Carola-Bibiane Schönlieb TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems. 16:1-16:48 2022 23 J. Mach. Learn. Res. https://jmlr.org/papers/v23/20-1297.html db/journals/jmlr/jmlr23.html#WeiALFHS22

Derek Driggs Jingwei Liang Carola-Bibiane Schönlieb On Biased Stochastic Gradient Estimation. 24:1-24:43 2022 23 J. Mach. Learn. Res. https://jmlr.org/papers/v23/20-316.html db/journals/jmlr/jmlr23.html#DriggsLS22

Tao Wei Angelica I. Avilés-Rivero Shuo Wang 0011 Yuan Huang 0009 Fiona J. Gilbert Carola-Bibiane Schönlieb Chang Wen Chen Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations. 102618 2022 82 Medical Image Anal. https://doi.org/10.1016/j.media.2022.102618 db/journals/mia/mia82.html#WeiAWHGSC22

Derek Driggs Matthias J. Ehrhardt Carola-Bibiane Schönlieb Accelerating variance-reduced stochastic gradient methods. 671-715 2022 191 Math. Program. 2 https://doi.org/10.1007/s10107-020-01566-2 db/journals/mp/mp191.html#DriggsES22

Xiang Bai Hanchen Wang 0002 Liya Ma Yongchao Xu Jiefeng Gan Ziwei Fan 0005 Fan Yang 0038 Ke Ma 0012 Jiehua Yang Song Bai 0001 Chang Shu Xinyu Zou Renhao Huang Changzheng Zhang Xiaowu Liu Dandan Tu Chuou Xu Wenqing Zhang Xi Wang 0044 Anguo Chen Yu Zeng Dehua Yang Ming-Wei Wang 0001 Nagaraj Holalkere Neil J. Halin Ihab R. Kamel Jia Wu 0009 Xuehua Peng Xiang Wang Jianbo Shao Pattanasak Mongkolwat Jianjun Zhang Weiyang Liu Michael Roberts Zhongzhao Teng Lucian Beer Lorena Escudero Sanchez Evis Sala Daniel L. Rubin Adrian Weller Joan Lasenby Chuansheng Zheng Jianming Wang Zhen Li 0013 Carola Schönlieb Tian Xia Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. 413 2022 4 Nat. Mach. Intell. 4 https://doi.org/10.1038/s42256-022-00485-5 db/journals/natmi/natmi4.html#BaiWMXGFYMYBSZH22

Rihuan Ke Carola-Bibiane Schönlieb Unsupervised Image Restoration Using Partially Linear Denoisers. 5796-5812 2022 44 IEEE Trans. Pattern Anal. Mach. Intell. 9 https://doi.org/10.1109/TPAMI.2021.3070382 https://www.wikidata.org/entity/Q113088523 db/journals/pami/pami44.html#KeS22

Yutong Chen Carola-Bibiane Schönlieb Pietro Liò Tim Leiner Pier Luigi Dragotti Ge Wang 0001 Daniel Rueckert David N. Firmin Guang Yang 0006 AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-Analysis. 224-245 2022 110 Proc. IEEE 2 https://doi.org/10.1109/JPROC.2022.3141367 db/journals/pieee/pieee110.html#ChenSLLDWRFY22

Angelica I. Avilés-Rivero Philip Sellars Carola-Bibiane Schönlieb Nicolas Papadakis GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays. 108274 2022 122 Pattern Recognit. https://doi.org/10.1016/j.patcog.2021.108274 db/journals/pr/pr122.html#Aviles-RiveroSS22

Jingwei Liang Tao Luo Carola-Bibiane Schönlieb Improving "Fast Iterative Shrinkage-Thresholding Algorithm": Faster, Smarter, and Greedier. 1069- 2022 44 SIAM J. Sci. Comput. 3 https://doi.org/10.1137/21m1395685 db/journals/siamsc/siamsc44.html#LiangLS22

Madeleine S. Kotzagiannidis Carola-Bibiane Schönlieb Semi-Supervised Superpixel-Based Multi-Feature Graph Learning for Hyperspectral Image Data. 1-12 2022 60 IEEE Trans. Geosci. Remote. Sens. https://doi.org/10.1109/TGRS.2021.3112298 db/journals/tgrs/tgrs60.html#KotzagiannidisS22

Rihuan Ke Angelica I. Avilés-Rivero Saurabh Pandey Saikumar Reddy Carola-Bibiane Schönlieb A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. 1805-1815 2022 31 IEEE Trans. Image Process. https://doi.org/10.1109/TIP.2022.3144036 db/journals/tip/tip31.html#KeAPRS22

Lipei Zhang Yiran Wei 0002 Ying Fu 0001 Stephen J. Price Carola-Bibiane Schönlieb Chao Li 0031 Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading. 1071 2022 BMVC https://bmvc2022.mpi-inf.mpg.de/1071/ conf/bmvc/2022 db/conf/bmvc/bmvc2022.html#Zhang00PS022 Shuai Wang Lei Zhu 0003 Huazhu Fu Jing Qin 0001 Carola-Bibiane Schönlieb Wei Feng 0005 Song Wang 0002 Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior. 565-582 2022 ECCV (19) https://doi.org/10.1007/978-3-031-19800-7_33 conf/eccv/2022-19 db/conf/eccv/eccv2022-19.html#WangZFQSFW22 Arthur Conmy Subhadip Mukherjee Carola-Bibiane Schönlieb Stylegan-Induced Data-Driven Regularization for Inverse Problems. 3788-3792 2022 ICASSP https://doi.org/10.1109/ICASSP43922.2022.9747632 conf/icassp/2022 db/conf/icassp/icassp2022.html#ConmyMS22 Yiran Wei 0002 Chao Li 0031 Xi Chen 0042 Carola-Bibiane Schönlieb Stephen J. Price Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma. 1-4 2022 ISBI https://doi.org/10.1109/ISBI52829.2022.9761407 conf/isbi/2022 db/conf/isbi/isbi2022.html#WeiLCSP22 Michael Yeung Leonardo Rundo Evis Sala Carola-Bibiane Schönlieb Guang Yang 0006 Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation. 1-5 2022 ISBI https://doi.org/10.1109/ISBI52829.2022.9761414 conf/isbi/2022 db/conf/isbi/isbi2022.html#YeungRSSY22 Jiayuan Zhu Shujun Wang Jinzheng He Carola-Bibiane Schönlieb Lequan Yu Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification. 110-120 2022 CMMCA@MICCAI https://doi.org/10.1007/978-3-031-17266-3_11 conf/miccai/2022cmmca db/conf/miccai/cmmca2022.html#ZhuWHSY22 Angelica I. Avilés-Rivero Christina Runkel Nicolas Papadakis Zoe Kourtzi Carola-Bibiane Schönlieb Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. 717-727 2022 MICCAI (3) https://doi.org/10.1007/978-3-031-16437-8_69 conf/miccai/2022-3 db/conf/miccai/miccai2022-3.html#Aviles-RiveroRP22 Lihao Liu Chenyang Hong Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. 130-138 2022 MIUA https://doi.org/10.1007/978-3-031-12053-4_10 conf/miua/2022 db/conf/miua/miua2022.html#LiuHAS22 Hankui Peng Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. 72-81 2022 WACV https://doi.org/10.1109/WACV51458.2022.00015 conf/wacv/2022 db/conf/wacv/wacv2022.html#PengAS22 Lihao Liu Zhening Huang Pietro Liò Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration. 190-193 2022 WBIR https://doi.org/10.1007/978-3-031-11203-4_21 conf/wbir/2022 db/conf/wbir/wbir2022.html#LiuHLSA22 Guang Yang 0006 Angelica I. Avilés-Rivero Michael Roberts Carola-Bibiane Schönlieb Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, Proceedings MIUA Springer 2022 Lecture Notes in Computer Science 13413 978-3-031-12052-7 978-3-031-12053-4 https://doi.org/10.1007/978-3-031-12053-4 db/conf/miua/miua2022.html Simone Parisotto Alessandro Launaro Ninetta Leone Carola-Bibiane Schönlieb ROCOPOT (ROman COmmonware POTtery) Dataset. 2022 January https://doi.org/10.5281/zenodo.5783772 Zenodo streams/repo/zenodo data/10/ParisottoLLS22a

Yiran Wei 0002 Chao Li 0031 Xi Chen 0042 Carola-Bibiane Schönlieb Stephen J. Price Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma. 2022 abs/2201.05530 CoRR https://arxiv.org/abs/2201.05530 db/journals/corr/corr2201.html#abs-2201-05530

Yang Nan 0002 Javier Del Ser Simon Walsh Carola Schönlieb Michael Roberts Ian Selby Kit Howard John Owen Jon Neville Julien Guiot Benoit Ernst Ana Pastor Angel Alberich-Bayarri Marion I. Menzel Sean Walsh 0004 Wim Vos Nina Flerin Jean-Paul Charbonnier Eva M. van Rikxoort Avishek Chatterjee Henry C. Woodruff Philippe Lambin Leonor Cerdá Alberich Luis Martí-Bonmatí Francisco Herrera Guang Yang 0006 Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. 2022 abs/2201.06505 CoRR https://arxiv.org/abs/2201.06505 db/journals/corr/corr2201.html#abs-2201-06505

Irene Fonseca Lisa Maria Kreusser Carola-Bibiane Schönlieb Matthew Thorpe Γ-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation. 2022 abs/2202.04965 CoRR https://arxiv.org/abs/2202.04965 db/journals/corr/corr2202.html#abs-2202-04965

Lihao Liu Chenyang Hong Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. 2022 abs/2203.00157 CoRR https://doi.org/10.48550/arXiv.2203.00157 db/journals/corr/corr2203.html#abs-2203-00157

Lipei Zhang Yiran Wei 0002 Ying Fu 0001 Stephen J. Price Carola-Bibiane Schönlieb Chao Li 0031 Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading. 2022 abs/2203.04013 CoRR https://doi.org/10.48550/arXiv.2203.04013 db/journals/corr/corr2203.html#abs-2203-04013

Yiran Wei 0002 Stephen J. Price Carola-Bibiane Schönlieb Chao Li 0031 Predicting conversion of mild cognitive impairment to Alzheimer's disease. 2022 abs/2203.04725 CoRR https://doi.org/10.48550/arXiv.2203.04725 db/journals/corr/corr2203.html#abs-2203-04725

Lihao Liu Zhening Huang Pietro Liò Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation. 2022 abs/2203.05684 CoRR https://doi.org/10.48550/arXiv.2203.05684 db/journals/corr/corr2203.html#abs-2203-05684

Simone Parisotto Ninetta Leone Carola-Bibiane Schönlieb Alessandro Launaro Unsupervised Clustering of Roman Potsherds via Variational Autoencoders. 2022 abs/2203.07437 CoRR https://doi.org/10.48550/arXiv.2203.07437 db/journals/corr/corr2203.html#abs-2203-07437

Yiran Wei 0002 Xi Chen 0042 Lei Zhu 0003 Lipei Zhang Carola-Bibiane Schönlieb Stephen J. Price Chao Li 0031 Multi-modal learning for predicting the genotype of glioma. 2022 abs/2203.10852 CoRR https://doi.org/10.48550/arXiv.2203.10852 db/journals/corr/corr2203.html#abs-2203-10852

Angelica I. Avilés-Rivero Christina Runkel Nicolas Papadakis Zoe Kourtzi Carola-Bibiane Schönlieb Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. 2022 abs/2204.02399 CoRR https://doi.org/10.48550/arXiv.2204.02399 db/journals/corr/corr2204.html#abs-2204-02399

Tamara G. Grossmann Sören Dittmer Yury Korolev Carola-Bibiane Schönlieb Unsupervised Learning of the Total Variation Flow. 2022 abs/2206.04406 CoRR https://doi.org/10.48550/arXiv.2206.04406 db/journals/corr/corr2206.html#abs-2206-04406

Subhadip Mukherjee Andreas Hauptmann Ozan Öktem Marcelo Pereyra Carola-Bibiane Schönlieb Learned reconstruction with convergence guarantees. 2022 abs/2206.05431 CoRR https://doi.org/10.48550/arXiv.2206.05431 db/journals/corr/corr2206.html#abs-2206-05431

Tolou Shadbahr Michael Roberts Jan Stanczuk Julian D. Gilbey Philip Teare Sören Dittmer Matthew Thorpe Ramón Viñas Torné 0001 Evis Sala Pietro Lió Mishal Patel AIX-COVNET Collaboration James H. F. Rudd Tuomas Mirtti Antti Rannikko John A. D. Aston Jing Tang 0002 Carola-Bibiane Schönlieb Classification of datasets with imputed missing values: does imputation quality matter? 2022 abs/2206.08478 CoRR https://doi.org/10.48550/arXiv.2206.08478 db/journals/corr/corr2206.html#abs-2206-08478

Georgios Batzolis Jan Stanczuk Carola-Bibiane Schönlieb Christian Etmann Non-Uniform Diffusion Models. 2022 abs/2207.09786 CoRR https://doi.org/10.48550/arXiv.2207.09786 db/journals/corr/corr2207.html#abs-2207-09786

Junqi Tang Matthias J. Ehrhardt Carola-Bibiane Schönlieb Stochastic Primal-Dual Three Operator Splitting with Arbitrary Sampling and Preconditioning. 2022 abs/2208.01631 CoRR https://doi.org/10.48550/arXiv.2208.01631 db/journals/corr/corr2208.html#abs-2208-01631

Jeremy Budd Yves van Gennip Jonas Latz Simone Parisotto Carola-Bibiane Schönlieb Joint reconstruction-segmentation on graphs. 2022 abs/2208.05834 CoRR https://doi.org/10.48550/arXiv.2208.05834 db/journals/corr/corr2208.html#abs-2208-05834

Junqi Tang Subhadip Mukherjee Carola-Bibiane Schönlieb Accelerating Deep Unrolling Networks via Dimensionality Reduction. 2022 abs/2208.14784 CoRR https://doi.org/10.48550/arXiv.2208.14784 db/journals/corr/corr2208.html#abs-2208-14784

Dongdong Chen 0004 Mike E. Davies 0001 Matthias J. Ehrhardt Carola-Bibiane Schönlieb Ferdia Sherry Julián Tachella Imaging with Equivariant Deep Learning. 2022 abs/2209.01725 CoRR https://doi.org/10.48550/arXiv.2209.01725 db/journals/corr/corr2209.html#abs-2209-01725

Jan Oscar Cross-Zamirski Guy B. Williams Elizabeth Mouchet Carola-Bibiane Schönlieb Riku Turkki Yinhai Wang Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels. 2022 abs/2209.07819 CoRR https://doi.org/10.48550/arXiv.2209.07819 db/journals/corr/corr2209.html#abs-2209-07819

Yanqi Cheng Lihao Liu Shujun Wang Yueming Jin Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness. 2022 abs/2209.08647 CoRR https://doi.org/10.48550/arXiv.2209.08647 db/journals/corr/corr2209.html#abs-2209-08647

Elena Celledoni Davide Murari Brynjulf Owren Carola-Bibiane Schönlieb Ferdia Sherry Dynamical systems' based neural networks. 2022 abs/2210.02373 CoRR https://doi.org/10.48550/arXiv.2210.02373 db/journals/corr/corr2210.html#abs-2210-02373

Sören Dittmer Michael Roberts Julian D. Gilbey Ander Biguri AIX-COVNET Collaboration Jacobus Preller James H. F. Rudd John A. D. Aston Carola-Bibiane Schönlieb Navigating the challenges in creating complex data systems: a development philosophy. 2022 abs/2210.13191 CoRR https://doi.org/10.48550/arXiv.2210.13191 db/journals/corr/corr2210.html#abs-2210-13191

Yakov Vaisbourd Rustum Choksi Ariel Goodwin Tim Hoheisel Carola-Bibiane Schönlieb Maximum Entropy on the Mean and the Cramér Rate Function in Statistical Estimation and Inverse Problems: Properties, Models, and Algorithms. 2022 abs/2211.05205 CoRR https://doi.org/10.48550/arXiv.2211.05205 db/journals/corr/corr2211.html#abs-2211-05205

Zhongying Deng Rihuan Ke Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. 2022 abs/2211.09593 CoRR https://doi.org/10.48550/arXiv.2211.09593 db/journals/corr/corr2211.html#abs-2211-09593

Zhongying Deng Yanqi Cheng Lihao Liu Shujun Wang Rihuan Ke Carola-Bibiane Schönlieb Angelica I. Avilés-Rivero TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation. 2022 abs/2211.09620 CoRR https://doi.org/10.48550/arXiv.2211.09620 db/journals/corr/corr2211.html#abs-2211-09620

Malena Sabate Landman Ander Biguri Sepideh Hatamikia Richard P. Boardman John A. D. Aston Carola-Bibiane Schönlieb On Krylov Methods for Large Scale CBCT Reconstruction. 2022 abs/2211.14212 CoRR https://doi.org/10.48550/arXiv.2211.14212 db/journals/corr/corr2211.html#abs-2211-14212

Georgios Batzolis Jan Stanczuk Carola-Bibiane Schönlieb Your diffusion model secretly knows the dimension of the data manifold. 2022 abs/2212.12611 CoRR https://doi.org/10.48550/arXiv.2212.12611 db/journals/corr/corr2212.html#abs-2212-12611

Michael Yeung Evis Sala Carola-Bibiane Schönlieb Leonardo Rundo Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy. 104815 2021 137 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2021.104815 db/journals/cbm/cbm137.html#YeungSSR21

Maureen van Eijnatten Leonardo Rundo Kees Joost Batenburg Felix Lucka Emma Beddowes Carlos Caldas Ferdia A. Gallagher Evis Sala Carola-Bibiane Schönlieb Ramona Woitek 3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. 106261 2021 208 Comput. Methods Programs Biomed. https://doi.org/10.1016/j.cmpb.2021.106261 https://www.wikidata.org/entity/Q113320702 db/journals/cmpb/cmpb208.html#EijnattenRBLBCG21

Jiulong Liu Angelica I. Avilés-Rivero Hui Ji 0002 Carola-Bibiane Schönlieb Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction. 101930 2021 68 Medical Image Anal. https://doi.org/10.1016/j.media.2020.101930 https://www.wikidata.org/entity/Q104619169 db/journals/mia/mia68.html#LiuAJS21

Angelica I. Avilés-Rivero Noémie Debroux Guy B. Williams Martin J. Graves Carola-Bibiane Schönlieb Compressed sensing plus motion (CS + M): A new perspective for improving undersampled MR image reconstruction. 101933 2021 68 Medical Image Anal. https://doi.org/10.1016/j.media.2020.101933 https://www.wikidata.org/entity/Q104505079 db/journals/mia/mia68.html#Aviles-RiveroDW21

Veronica Corona Angelica I. Avilés-Rivero Noémie Debroux Carole Le Guyader Carola-Bibiane Schönlieb Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution. 101941 2021 68 Medical Image Anal. https://doi.org/10.1016/j.media.2020.101941 db/journals/mia/mia68.html#CoronaADGS21

Michael Roberts Derek Driggs Matthew Thorpe Julian D. Gilbey Michael Yeung Stephan Ursprung Angelica I. Avilés-Rivero Christian Etmann Cathal McCague Lucian Beer Jonathan R. Weir-McCall Zhongzhao Teng Effrossyni Gkrania-Klotsas James H. F. Rudd Evis Sala Carola-Bibiane Schönlieb Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. 199-217 2021 3 Nat. Mach. Intell. 3 https://doi.org/10.1038/s42256-021-00307-0 https://www.wikidata.org/entity/Q105968543 db/journals/natmi/natmi3.html#RobertsDTGYUAEM21

Jia Wu 0009 Chao Li 0031 Michael Gensheimer 0001 Sukhmani Padda Fumi Kato Hiroki Shirato Yiran Wei 0002 Carola-Bibiane Schönlieb Stephen John Price David A. Jaffray John V. Heymach Joel W. Neal Billy W. Loo Heather Wakelee Maximilian Diehn Ruijiang Li Radiological tumour classification across imaging modality and histology. 787-798 2021 3 Nat. Mach. Intell. 9 https://doi.org/10.1038/s42256-021-00377-0 https://www.wikidata.org/entity/Q112642324 db/journals/natmi/natmi3.html#WuLGPKSWSPJHNLW21

Xiang Bai Hanchen Wang 0002 Liya Ma Yongchao Xu Jiefeng Gan Ziwei Fan 0005 Fan Yang 0038 Ke Ma 0012 Jiehua Yang Song Bai 0001 Chang Shu Xinyu Zou Renhao Huang Changzheng Zhang Xiaowu Liu Dandan Tu Chuou Xu Wenqing Zhang Xi Wang 0044 Anguo Chen Yu Zeng Dehua Yang Ming-Wei Wang 0001 Nagaraj Holalkere Neil J. Halin Ihab R. Kamel Jia Wu 0009 Xuehua Peng Xiang Wang Jianbo Shao Pattanasak Mongkolwat Jianjun Zhang Weiyang Liu Michael Roberts Zhongzhao Teng Lucian Beer Lorena Escudero Sanchez Evis Sala Daniel L. Rubin Adrian Weller Joan Lasenby Chuansheng Zheng Jianming Wang Zhen Li 0013 Carola Schönlieb Tian Xia Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. 1081-1089 2021 3 Nat. Mach. Intell. 12 https://doi.org/10.1038/s42256-021-00421-z db/journals/natmi/natmi3.html#BaiWMXGFYMYBSZH21

Jianchao Zhang Angelica I. Avilés-Rivero Daniel Heydecker Xiaosheng Zhuang Raymond H. Chan Carola-Bibiane Schönlieb Dynamic spectral residual superpixels. 107705 2021 112 Pattern Recognit. https://doi.org/10.1016/j.patcog.2020.107705 db/journals/pr/pr112.html#ZhangAHZCS21

Sebastian Lunz Andreas Hauptmann Tanja Tarvainen Carola-Bibiane Schönlieb Simon R. Arridge On Learned Operator Correction in Inverse Problems. 92-127 2021 14 SIAM J. Imaging Sci. 1 https://doi.org/10.1137/20M1338460 db/journals/siamis/siamis14.html#LunzHTSA21

Martin Benning Marta M. Betcke Matthias J. Ehrhardt Carola-Bibiane Schönlieb Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework. 814-843 2021 14 SIAM J. Imaging Sci. 2 https://doi.org/10.1137/20M1357500 db/journals/siamis/siamis14.html#BenningBES21

Derek Driggs Junqi Tang Jingwei Liang Mike E. Davies 0001 Carola-Bibiane Schönlieb A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization. 1932-1970 2021 14 SIAM J. Imaging Sci. 4 https://doi.org/10.1137/20M1387213 db/journals/siamis/siamis14.html#DriggsTLDS21

Rihuan Ke Aurélie Bugeau Nicolas Papadakis Mark Kirkland Peter Schütz Carola-Bibiane Schönlieb Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks. 3555-3567 2021 30 IEEE Trans. Image Process. https://doi.org/10.1109/TIP.2021.3062726 db/journals/tip/tip30.html#KeBPKSS21

Yifan Li Chao Li 0031 Yiran Wei 0002 Stephen J. Price Carola-Bibiane Schönlieb Xi Chen 0042 Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma. 124-139 2021 BrainLes@MICCAI (1) https://doi.org/10.1007/978-3-031-08999-2_10 conf/brainles-ws/2021-1 db/conf/brainles-ws/brainles-ws2021-1.html#LiLWPSC21 Yiran Wei 0002 Yonghao Li Xi Chen 0042 Carola-Bibiane Schönlieb Chao Li 0031 Stephen J. Price Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks. 140-150 2021 BrainLes@MICCAI (1) https://doi.org/10.1007/978-3-031-08999-2_11 conf/brainles-ws/2021-1 db/conf/brainles-ws/brainles-ws2021-1.html#WeiLCSLP21 Chao Li 0031 Yiran Wei 0002 Xi Chen 0042 Carola-Bibiane Schönlieb BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification. 103-111 2021 DGM4MICCAI/DALI@MICCAI https://doi.org/10.1007/978-3-030-88210-5_9 conf/miccai/2021dgm4miccai db/conf/miccai/dgm4miccai2021.html#LiWCS21 Subhadip Mukherjee Marcello Carioni Ozan Öktem Carola-Bibiane Schönlieb End-to-end reconstruction meets data-driven regularization for inverse problems. 21413-21425 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/b2df0a0d4116c55f81fd5aa1ef876510-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#MukherjeeCOS21 Subhadip Mukherjee Ozan Öktem Carola-Bibiane Schönlieb Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems. 540-552 2021 SSVM https://doi.org/10.1007/978-3-030-75549-2_43 conf/scalespace/2021 db/conf/scalespace/ssvm2021.html#MukherjeeOS21 Simone Parisotto Alessandro Launaro Ninetta Leone Carola-Bibiane Schönlieb ROCOPOT (ROman COmmonware POTtery) Dataset. 2021 January https://doi.org/10.5281/zenodo.4311297 Zenodo streams/repo/zenodo data/10/ParisottoLLS22a Simone Parisotto Stella Panayotova Suzanne Reynolds Carola-Bibiane Schönlieb INLUMINA (INpainting of ilLUminated MINiatures App) Dataset. 2021 January https://doi.org/10.5281/zenodo.4320633 Zenodo streams/repo/zenodo

Tao Wei Angelica I. Avilés-Rivero Shuo Wang 0011 Yuan Huang 0009 Fiona J. Gilbert Carola-Bibiane Schönlieb Chang Wen Chen Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations. 2021 abs/2101.07945 CoRR https://arxiv.org/abs/2101.07945 db/journals/corr/corr2101.html#abs-2101-07945

Chao Li 0031 Wenjian Huang 0001 Xi Chen 0042 Yiran Wei 0002 Stephen J. Price Carola-Bibiane Schönlieb Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma. 2021 abs/2101.08757 CoRR https://arxiv.org/abs/2101.08757 db/journals/corr/corr2101.html#abs-2101-08757

Michael Yeung Evis Sala Carola-Bibiane Schönlieb Leonardo Rundo A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation. 2021 abs/2102.04525 CoRR https://arxiv.org/abs/2102.04525 db/journals/corr/corr2102.html#abs-2102-04525

Christina Runkel Christian Etmann Michael Möller 0001 Carola-Bibiane Schönlieb Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization. 2021 abs/2102.06496 CoRR https://arxiv.org/abs/2102.06496 db/journals/corr/corr2102.html#abs-2102-06496

Elena Celledoni Matthias J. Ehrhardt Christian Etmann Brynjulf Owren Carola-Bibiane Schönlieb Ferdia Sherry Equivariant neural networks for inverse problems. 2021 abs/2102.11504 CoRR https://arxiv.org/abs/2102.11504 db/journals/corr/corr2102.html#abs-2102-11504

Jan Stanczuk Christian Etmann Lisa Maria Kreusser Carola-Bibiane Schönlieb Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance). 2021 abs/2103.01678 CoRR https://arxiv.org/abs/2103.01678 db/journals/corr/corr2103.html#abs-2103-01678

Maria L. Hänel Carola-Bibiane Schönlieb Efficient Global Optimization of Non-differentiable, Symmetric Objectives for Multi Camera Placement. 2021 abs/2103.11210 CoRR https://arxiv.org/abs/2103.11210 db/journals/corr/corr2103.html#abs-2103-11210

Subhadip Mukherjee Ozan Öktem Carola-Bibiane Schönlieb Adversarially learned iterative reconstruction for imaging inverse problems. 2021 abs/2103.16151 CoRR https://arxiv.org/abs/2103.16151 db/journals/corr/corr2103.html#abs-2103-16151

Madeleine Kotzagiannidis Carola-Bibiane Schönlieb Semi-supervised Superpixel-based Multi-Feature Graph Learning for Hyperspectral Image Data. 2021 abs/2104.13268 CoRR https://arxiv.org/abs/2104.13268 db/journals/corr/corr2104.html#abs-2104-13268

Julian D. Gilbey Carola-Bibiane Schönlieb An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images. 2021 abs/2105.04515 CoRR https://arxiv.org/abs/2105.04515 db/journals/corr/corr2105.html#abs-2105-04515

Michael Yeung Evis Sala Carola-Bibiane Schönlieb Leonardo Rundo Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy. 2021 abs/2105.07467 CoRR https://arxiv.org/abs/2105.07467 db/journals/corr/corr2105.html#abs-2105-07467

Georgios Batzolis Marcello Carioni Christian Etmann Soroosh Afyouni Zoe Kourtzi Carola-Bibiane Schönlieb CAFLOW: Conditional Autoregressive Flows. 2021 abs/2106.02531 CoRR https://arxiv.org/abs/2106.02531 db/journals/corr/corr2106.html#abs-2106-02531

Subhadip Mukherjee Marcello Carioni Ozan Öktem Carola-Bibiane Schönlieb End-to-end reconstruction meets data-driven regularization for inverse problems. 2021 abs/2106.03538 CoRR https://arxiv.org/abs/2106.03538 db/journals/corr/corr2106.html#abs-2106-03538

Hankui Peng Angelica I. Avilés-Rivero Carola-Bibiane Schoenlieb HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. 2021 abs/2106.03755 CoRR https://arxiv.org/abs/2106.03755 db/journals/corr/corr2106.html#abs-2106-03755

Philip Sellars Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification. 2021 abs/2106.04527 CoRR https://arxiv.org/abs/2106.04527 db/journals/corr/corr2106.html#abs-2106-04527

Bogdan Toader Jérôme Boulanger Yury Korolev Martin O. Lenz James Manton Carola-Bibiane Schönlieb Leila Muresan Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise. 2021 abs/2108.03642 CoRR https://arxiv.org/abs/2108.03642 db/journals/corr/corr2108.html#abs-2108-03642

Yifan Li Chao Li 0031 Yiran Wei 0002 Stephen J. Price Carola-Bibiane Schönlieb Xi Chen 0042 Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma. 2021 abs/2108.09423 CoRR https://arxiv.org/abs/2108.09423 db/journals/corr/corr2108.html#abs-2108-09423

Yiran Wei 0002 Yonghao Li Xi Chen 0042 Carola-Bibiane Schönlieb Chao Li 0031 Stephen J. Price Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks. 2021 abs/2109.01854 CoRR https://arxiv.org/abs/2109.01854 db/journals/corr/corr2109.html#abs-2109-01854

Arthur Conmy Subhadip Mukherjee Carola-Bibiane Schönlieb StyleGAN-induced data-driven regularization for inverse problems. 2021 abs/2110.03814 CoRR https://arxiv.org/abs/2110.03814 db/journals/corr/corr2110.html#abs-2110-03814

Subhadip Mukherjee Carola-Bibiane Schönlieb Martin Burger 0001 Learning convex regularizers satisfying the variational source condition for inverse problems. 2021 abs/2110.12520 CoRR https://arxiv.org/abs/2110.12520 db/journals/corr/corr2110.html#abs-2110-12520

Michael Yeung Leonardo Rundo Yang Nan 0002 Evis Sala Carola-Bibiane Schönlieb Guang Yang 0006 Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation. 2021 abs/2111.00528 CoRR https://arxiv.org/abs/2111.00528 db/journals/corr/corr2111.html#abs-2111-00528

Michael Yeung Guang Yang 0006 Evis Sala Carola-Bibiane Schönlieb Leonardo Rundo Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation. 2021 abs/2111.00533 CoRR https://arxiv.org/abs/2111.00533 db/journals/corr/corr2111.html#abs-2111-00533

Michael Yeung Leonardo Rundo Evis Sala Carola-Bibiane Schönlieb Guang Yang 0006 Focal Attention Networks: optimising attention for biomedical image segmentation. 2021 abs/2111.00534 CoRR https://arxiv.org/abs/2111.00534 db/journals/corr/corr2111.html#abs-2111-00534

Xiang Bai Hanchen Wang 0002 Liya Ma Yongchao Xu Jiefeng Gan Ziwei Fan 0005 Fan Yang 0038 Ke Ma 0012 Jiehua Yang Song Bai 0001 Chang Shu Xinyu Zou Renhao Huang Changzheng Zhang Xiaowu Liu Dandan Tu Chuou Xu Wenqing Zhang Xi Wang 0044 Anguo Chen Yu Zeng Dehua Yang Ming-Wei Wang 0001 Nagaraj Holalkere Neil J. Halin Ihab R. Kamel Jia Wu 0009 Xuehua Peng Xiang Wang Jianbo Shao Pattanasak Mongkolwat Jianjun Zhang Weiyang Liu Michael Roberts Zhongzhao Teng Lucian Beer Lorena Escudero Sanchez Evis Sala Daniel L. Rubin Adrian Weller Joan Lasenby Chuangsheng Zheng Jianming Wang Zhen Li 0013 Carola-Bibiane Schönlieb Tian Xia Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. 2021 abs/2111.09461 CoRR https://arxiv.org/abs/2111.09461 db/journals/corr/corr2111.html#abs-2111-09461

Georgios Batzolis Jan Stanczuk Carola-Bibiane Schönlieb Christian Etmann Conditional Image Generation with Score-Based Diffusion Models. 2021 abs/2111.13606 CoRR https://arxiv.org/abs/2111.13606 db/journals/corr/corr2111.html#abs-2111-13606

Kexin Jin Jonas Latz Chenguang Liu Carola-Bibiane Schönlieb A Continuous-time Stochastic Gradient Descent Method for Continuous Data. 2021 abs/2112.03754 CoRR https://arxiv.org/abs/2112.03754 db/journals/corr/corr2112.html#abs-2112-03754

Yutong Chen Carola-Bibiane Schönlieb Pietro Liò Tim Leiner Pier Luigi Dragotti Gerald Wang Daniel Rueckert David N. Firmin Guang Yang 0006 AI-based Reconstruction for Fast MRI - A Systematic Review and Meta-analysis. 2021 abs/2112.12744 CoRR https://arxiv.org/abs/2112.12744 db/journals/corr/corr2112.html#abs-2112-12744

L. Robert Hocking Thomas Holding Carola-Bibiane Schönlieb Analysis of Artifacts in Shell-Based Image Inpainting: Why They Occur and How to Eliminate Them. 1549-1651 2020 20 Found. Comput. Math. 6 https://doi.org/10.1007/s10208-020-09450-3 db/journals/focm/focm20.html#HockingHS20

Martin Benning Erlend Skaldehaug Riis Carola-Bibiane Schönlieb Bregman Itoh-Abe Methods for Sparse Optimisation. 842-857 2020 62 J. Math. Imaging Vis. 6-7 https://doi.org/10.1007/s10851-020-00944-x db/journals/jmiv/jmiv62.html#BenningRS20

Noémie Debroux John A. D. Aston Fabien Bonardi Alistair Forbes Carole Le Guyader Marina Romanchikova Carola-Bibiane Schönlieb A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis. 351-380 2020 13 SIAM J. Imaging Sci. 1 https://doi.org/10.1137/19M1271907 db/journals/siamis/siamis13.html#DebrouxABFGRS20

Simone Parisotto Simon Masnou Carola-Bibiane Schönlieb Higher-Order Total Directional Variation: Analysis. 474-496 2020 13 SIAM J. Imaging Sci. 1 https://doi.org/10.1137/19M1239210 db/journals/siamis/siamis13.html#ParisottoMS20

Simone Parisotto Jan Lellmann Simon Masnou Carola-Bibiane Schönlieb Higher-Order Total Directional Variation: Imaging Applications. 2063-2104 2020 13 SIAM J. Imaging Sci. 4 https://doi.org/10.1137/19M1239209 db/journals/siamis/siamis13.html#ParisottoLMS20

Jonathan Williams 0003 Carola-Bibiane Schönlieb Tom Swinfield Juheon Lee Xiaohao Cai Lan Qie David A. Coomes 3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm. 754-776 2020 58 IEEE Trans. Geosci. Remote. Sens. 2 https://doi.org/10.1109/TGRS.2019.2940146 db/journals/tgrs/tgrs58.html#WilliamsSSLCQC20

Philip Sellars Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification. 4180-4193 2020 58 IEEE Trans. Geosci. Remote. Sens. 6 https://doi.org/10.1109/TGRS.2019.2961599 db/journals/tgrs/tgrs58.html#SellarsAS20

Simone Parisotto Luca Calatroni Aurélie Bugeau Nicolas Papadakis Carola-Bibiane Schönlieb Variational Osmosis for Non-Linear Image Fusion. 5507-5516 2020 29 IEEE Trans. Image Process. https://doi.org/10.1109/TIP.2020.2983537 https://www.wikidata.org/entity/Q91570456 db/journals/tip/tip29.html#ParisottoCBPS20

Ferdia Sherry Martin Benning Juan Carlos de los Reyes Martin J. Graves Georg Maierhofer Guy B. Williams Carola-Bibiane Schönlieb Matthias Joachim Ehrhardt Learning the Sampling Pattern for MRI. 4310-4321 2020 39 IEEE Trans. Medical Imaging 12 https://doi.org/10.1109/TMI.2020.3017353 https://www.wikidata.org/entity/Q98507760 db/journals/tmi/tmi39.html#SherryBRGMWSE20

Rihuan Ke Aurélie Bugeau Nicolas Papadakis Peter Schütz Carola-Bibiane Schönlieb Learning to Segment Microscopy Images with Lazy Labels. 411-428 2020 ECCV Workshops (1) https://doi.org/10.1007/978-3-030-66415-2_27 conf/eccv/2020-w1 db/conf/eccv/eccv2020-w1.html#KeBPSS20 Kaixuan Wei Angelica I. Avilés-Rivero Jingwei Liang Ying Fu 0001 Carola-Bibiane Schönlieb Hua Huang 0001 Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. 10158-10169 2020 ICML http://proceedings.mlr.press/v119/wei20b.html conf/icml/2020 db/conf/icml/icml2020.html#WeiALFS020 Christian Etmann Rihuan Ke Carola-Bibiane Schönlieb iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems. 1-6 2020 MLSP https://doi.org/10.1109/MLSP49062.2020.9231874 conf/mlsp/2020 db/conf/mlsp/mlsp2020.html#EtmannKS20 Tamara G. Grossmann Yury Korolev Guy Gilboa Carola B. Schönlieb Deeply Learned Spectral Total Variation Decomposition. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/8d3215ae97598264ad6529613774a038-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#GrossmannKGS20 Julian D. Gilbey Carola-Bibiane Schönlieb Low resolution scanned text dataset for optical character recognition. 2020 July https://doi.org/10.5281/zenodo.3945525 Zenodo streams/repo/zenodo Julian D. Gilbey Carola-Bibiane Schönlieb Trained tesseract networks for low-resolution optical character recognition. 2020 July https://doi.org/10.5281/zenodo.3945949 Zenodo streams/repo/zenodo Simone Parisotto Carola-Bibiane Schönlieb MATLAB/Python Codes for the Image Inpainting Problem. 2020 December https://doi.org/10.5281/zenodo.4315174 Zenodo streams/repo/zenodo

Philip Sellars Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification. 2020 abs/2001.05317 CoRR https://arxiv.org/abs/2001.05317 db/journals/corr/corr2001.html#abs-2001-05317

Kaixuan Wei Angelica I. Avilés-Rivero Jingwei Liang Ying Fu 0001 Carola-Bibiane Schönlieb Hua Huang 0001 Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. 2020 abs/2002.09611 CoRR https://arxiv.org/abs/2002.09611 db/journals/corr/corr2002.html#abs-2002-09611

Timothée Schmoderer Angelica I. Avilés-Rivero Veronica Corona Noémie Debroux Carola B. Schönlieb Learning Optical Flow for Fast MRI Reconstruction. 2020 abs/2004.10464 CoRR https://arxiv.org/abs/2004.10464 db/journals/corr/corr2004.html#abs-2004-10464

Christian Etmann Rihuan Ke Carola-Bibiane Schönlieb iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling. 2020 abs/2005.05220 CoRR https://arxiv.org/abs/2005.05220 db/journals/corr/corr2005.html#abs-2005-05220

Sebastian Lunz Andreas Hauptmann Tanja Tarvainen Carola-Bibiane Schönlieb Simon R. Arridge On Learned Operator Correction. 2020 abs/2005.07069 CoRR https://arxiv.org/abs/2005.07069 db/journals/corr/corr2005.html#abs-2005-07069

Maureen van Eijnatten Leonardo Rundo Kees Joost Batenburg Felix Lucka Emma Beddowes Carlos Caldas Ferdia A. Gallagher Evis Sala Carola-Bibiane Schönlieb Ramona Woitek 3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. 2020 abs/2005.07545 CoRR https://arxiv.org/abs/2005.07545 db/journals/corr/corr2005.html#abs-2005-07545

Rihuan Ke Aurélie Bugeau Nicolas Papadakis Mark Kirkland Peter Schütz Carola-Bibiane Schönlieb Multi-task deep learning for image segmentation using recursive approximation tasks. 2020 abs/2005.13053 CoRR https://arxiv.org/abs/2005.13053 db/journals/corr/corr2005.html#abs-2005-13053

Leon Bungert Martin Burger 0001 Yury Korolev Carola-Bibiane Schoenlieb Variational regularisation for inverse problems with imperfect forward operators and general noise models. 2020 abs/2005.14131 CoRR https://arxiv.org/abs/2005.14131 db/journals/corr/corr2005.html#abs-2005-14131

Simone Parisotto Alessandro Launaro Ninetta Leone Carola-Bibiane Schönlieb Unsupervised clustering of Roman pottery profiles from their SSAE representation. 2020 abs/2006.03156 CoRR https://arxiv.org/abs/2006.03156 db/journals/corr/corr2006.html#abs-2006-03156

Elena Celledoni Matthias J. Ehrhardt Christian Etmann Robert I. McLachlan Brynjulf Owren Carola-Bibiane Schönlieb Ferdia Sherry Structure preserving deep learning. 2020 abs/2006.03364 CoRR https://arxiv.org/abs/2006.03364 db/journals/corr/corr2006.html#abs-2006-03364

Jonathan Williams 0003 Carola-Bibiane Schönlieb Tom Swinfield Bambang Irawan Eva Achmad Muhammad Zudhi Habibi Elva Gemita David A. Coomes SLIC-UAV: A Method for monitoring recovery in tropical restoration projects through identification of signature species using UAVs. 2020 abs/2006.06624 CoRR https://arxiv.org/abs/2006.06624 db/journals/corr/corr2006.html#abs-2006-06624

Tamara G. Grossmann Yury Korolev Guy Gilboa Carola-Bibiane Schönlieb Deeply Learned Spectral Total Variation Decomposition. 2020 abs/2006.10004 CoRR https://arxiv.org/abs/2006.10004 db/journals/corr/corr2006.html#abs-2006-10004

Sören Dittmer Carola-Bibiane Schönlieb Peter Maass Ground Truth Free Denoising by Optimal Transport. 2020 abs/2007.01575 CoRR https://arxiv.org/abs/2007.01575 db/journals/corr/corr2007.html#abs-2007-01575

Ninetta Leone Simone Parisotto Kasia Targonska-Hadzibabic Spike Bucklow Alessandro Launaro Suzanne Reynolds Carola-Bibiane Schönlieb Art Speaks Maths, Maths Speaks Art. 2020 abs/2007.08886 CoRR https://arxiv.org/abs/2007.08886 db/journals/corr/corr2007.html#abs-2007-08886

Andreas Hauptmann Ozan Öktem Carola Schönlieb Image reconstruction in dynamic inverse problems with temporal models. 2020 abs/2007.10238 CoRR https://arxiv.org/abs/2007.10238 db/journals/corr/corr2007.html#abs-2007-10238

Subhadip Mukherjee Sören Dittmer Zakhar Shumaylov Sebastian Lunz Ozan Öktem Carola-Bibiane Schönlieb Learned convex regularizers for inverse problems. 2020 abs/2008.02839 CoRR https://arxiv.org/abs/2008.02839 db/journals/corr/corr2008.html#abs-2008-02839

Robert Tovey Duncan N. Johnstone Sean M. Collins William R. B. Lionheart Paul A. Midgley Martin Benning Carola-Bibiane Schönlieb Scanning electron diffraction tomography of strain. 2020 abs/2008.03281 CoRR https://arxiv.org/abs/2008.03281 db/journals/corr/corr2008.html#abs-2008-03281

Rihuan Ke Carola-Bibiane Schönlieb Unsupervised Image Restoration Using Partially Linear Denoisers. 2020 abs/2008.06164 CoRR https://arxiv.org/abs/2008.06164 db/journals/corr/corr2008.html#abs-2008-06164

Michael Roberts Derek Driggs Matthew Thorpe Julian D. Gilbey Michael Yeung Stephan Ursprung Angelica I. Avilés-Rivero Christian Etmann Cathal McCague Lucian Beer Jonathan R. Weir-McCall Zhongzhao Teng James H. F. Rudd Evis Sala Carola-Bibiane Schönlieb Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review. 2020 abs/2008.06388 CoRR https://arxiv.org/abs/2008.06388 db/journals/corr/corr2008.html#abs-2008-06388

Oliver M. Crook Mihai Cucuringu Tim Hurst Carola-Bibiane Schönlieb Matthew Thorpe Konstantinos C. Zygalakis A Linear Transportation Lp Distance for Pattern Recognition. 2020 abs/2009.11262 CoRR https://arxiv.org/abs/2009.11262 db/journals/corr/corr2009.html#abs-2009-11262

Angelica I. Avilés-Rivero Philip Sellars Carola-Bibiane Schönlieb Nicolas Papadakis GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays. 2020 abs/2010.00378 CoRR https://arxiv.org/abs/2010.00378 db/journals/corr/corr2010.html#abs-2010-00378

Veronica Corona Yehuda Dar Carola-Bibiane Schönlieb Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding. 2020 abs/2010.04065 CoRR https://arxiv.org/abs/2010.04065 db/journals/corr/corr2010.html#abs-2010-04065

Lihao Liu Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Contrastive Registration for Unsupervised Medical Image Segmentation. 2020 abs/2011.08894 CoRR https://arxiv.org/abs/2011.08894 db/journals/corr/corr2011.html#abs-2011-08894

Rihuan Ke Angelica I. Avilés-Rivero Saurabh Pandey Saikumar Reddy Carola-Bibiane Schönlieb A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. 2020 abs/2012.00827 CoRR https://arxiv.org/abs/2012.00827 db/journals/corr/corr2012.html#abs-2012-00827

Kaixuan Wei Angelica I. Avilés-Rivero Jingwei Liang Ying Fu 0001 Hua Huang 0001 Carola-Bibiane Schönlieb TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems. 2020 abs/2012.05703 CoRR https://arxiv.org/abs/2012.05703 db/journals/corr/corr2012.html#abs-2012-05703

Simon R. Arridge Peter Maass Ozan Öktem Carola-Bibiane Schönlieb Solving inverse problems using data-driven models. 1-174 2019 28 Acta Numer. https://doi.org/10.1017/S0962492919000059 db/journals/actanum/actanum28.html#ArridgeMOS19

Tom Swinfield Jeremy A. Lindsell Jonathan V. Williams Rhett D. Harrison Agustiono Habibi Elva Gemita Carola B. Schönlieb David A. Coomes Accurate Measurement of Tropical Forest Canopy Heights and Aboveground Carbon Using Structure From Motion. 928 2019 11 Remote. Sens. 8 https://doi.org/10.3390/rs11080928 https://www.wikidata.org/entity/Q63564855 db/journals/remotesensing/remotesensing11.html#SwinfieldLWHAHG19

José A. Carrillo 0001 Bertram Düring Lisa Maria Kreusser Carola-Bibiane Schönlieb Stability Analysis of Line Patterns of an Anisotropic Interaction Model. 1798-1845 2019 18 SIAM J. Appl. Dyn. Syst. 4 https://doi.org/10.1137/18M1181638 https://www.wikidata.org/entity/Q127023743 db/journals/siamads/siamads18.html#CarrilloDKS19

Xiaohao Cai Raymond H. Chan Carola-Bibiane Schönlieb Gabriele Steidl Tieyong Zeng Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation. B1310-B1340 2019 41 SIAM J. Sci. Comput. 6 https://doi.org/10.1137/18M1202980 https://www.wikidata.org/entity/Q126575897 db/journals/siamsc/siamsc41.html#CaiCSSZ19

Daniel Heydecker Georg Maierhofer Angelica I. Avilés-Rivero Qingnan Fan Dongdong Chen 0001 Carola-Bibiane Schönlieb Sabine Süsstrunk Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal. 6185-6197 2019 28 IEEE Trans. Image Process. 12 https://doi.org/10.1109/TIP.2019.2923559 https://www.wikidata.org/entity/Q91552065 db/journals/tip/tip28.html#HeydeckerMAFCSS19

Ruoteng Li Robby T. Tan Loong Fah Cheong Angelica I. Avilés-Rivero Qingnan Fan Carola Schönlieb RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect. 7303-7312 2019 ICCV https://doi.org/10.1109/ICCV.2019.00740 conf/iccv/2019 db/conf/iccv/iccv2019.html#LiTCAFS19 Christian Etmann Sebastian Lunz Peter Maass Carola Schönlieb On the Connection Between Adversarial Robustness and Saliency Map Interpretability. 1823-1832 2019 ICML http://proceedings.mlr.press/v97/etmann19a.html conf/icml/2019 db/conf/icml/icml2019.html#EtmannLMS19 Philip Sellars Angelica I. Avilés-Rivero Nicolas Papadakis David Coomes Anita Faul Carola-Bibiane Schönlieb Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. 592-595 2019 IGARSS https://doi.org/10.1109/IGARSS.2019.8898189 conf/igarss/2019 db/conf/igarss/igarss2019.html#SellarsAPCFS19 Pan Liu 0004 Chao Li 0031 Carola-Bibiane Schönlieb GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions. 110-117 2019 MICCAI (3) https://doi.org/10.1007/978-3-030-32248-9_13 conf/miccai/2019-3 db/conf/miccai/miccai2019-3.html#LiuLS19 Angelica I. Avilés-Rivero Nicolas Papadakis Ruoteng Li Philip Sellars Qingnan Fan Robby T. Tan Carola-Bibiane Schönlieb GraphX $$^\mathbf{\small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision. 504-512 2019 MICCAI (6) https://doi.org/10.1007/978-3-030-32226-7_56 conf/miccai/2019-6 db/conf/miccai/miccai2019-6.html#Aviles-RiveroPL19 Carola-Bibiane Schönlieb Deep learning for inverse imaging problems: some recent approaches (Conference Presentation). 109490R 2019 Image Processing https://doi.org/10.1117/12.2519510 conf/miip/2019 db/conf/miip/miip2019.html#Schonlieb19 Veronica Corona Angelica I. Avilés-Rivero Noémie Debroux Martin J. Graves Carole Le Guyader Carola-Bibiane Schönlieb Guy B. Williams Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration. 263-274 2019 SSVM https://doi.org/10.1007/978-3-030-22368-7_21 conf/scalespace/2019 db/conf/scalespace/ssvm2019.html#CoronaADGGSW19 Martin Burger 0001 Yury Korolev Carola-Bibiane Schönlieb Christiane Stollenwerk A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions. 485-497 2019 SSVM https://doi.org/10.1007/978-3-030-22368-7_38 conf/scalespace/2019 db/conf/scalespace/ssvm2019.html#0001KSS19 Simone Parisotto Carola-Bibiane Schönlieb Total Directional Variation for Video Denoising. 522-534 2019 SSVM https://doi.org/10.1007/978-3-030-22368-7_41 conf/scalespace/2019 db/conf/scalespace/ssvm2019.html#ParisottoS19 Lukas F. Lang Nilankur Dutta Elena Scarpa Bénédicte Sanson Carola-Bibiane Schönlieb Jocelyn Étienne Microscopy image sequences and annotated kymographs of laser ablation experiments in Drosophila embryos. 2019 June https://doi.org/10.5281/zenodo.3257654 Zenodo streams/repo/zenodo

Philip Sellars Angelica I. Avilés-Rivero Nicolas Papadakis David Coomes Anita Faul Carola-Bibiane Schönlieb Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. 2019 abs/1901.04240 CoRR http://arxiv.org/abs/1901.04240 db/journals/corr/corr1901.html#abs-1901-04240

Martin Burger 0001 Yury Korolev Carola-Bibiane Schönlieb Christiane Stollenwerk A total variation based regularizer promoting piecewise-Lipschitz reconstructions. 2019 abs/1903.05079 CoRR http://arxiv.org/abs/1903.05079 db/journals/corr/corr1903.html#abs-1903-05079

Philip Sellars Angelica I. Avilés-Rivero Carola-Bibiane Schönlieb Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification. 2019 abs/1903.06548 CoRR http://arxiv.org/abs/1903.06548 db/journals/corr/corr1903.html#abs-1903-06548

Jonathan V. Williams Carola-Bibiane Schönlieb Tom Swinfield Juheon Lee Xiaohao Cai Lan Qie David A. Coomes Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC). 2019 abs/1903.08481 CoRR http://arxiv.org/abs/1903.08481 db/journals/corr/corr1903.html#abs-1903-08481

Martin Benning Elena Celledoni Matthias J. Ehrhardt Brynjulf Owren Carola-Bibiane Schönlieb Deep learning as optimal control problems: models and numerical methods. 2019 abs/1904.05657 CoRR http://arxiv.org/abs/1904.05657 db/journals/corr/corr1904.html#abs-1904-05657

Christian Etmann Sebastian Lunz Peter Maass Carola-Bibiane Schönlieb On the Connection Between Adversarial Robustness and Saliency Map Interpretability. 2019 abs/1905.04172 CoRR http://arxiv.org/abs/1905.04172 db/journals/corr/corr1905.html#abs-1905-04172

Angelica I. Avilés-Rivero Nicolas Papadakis Ruoteng Li Samar M. Alsaleh Robby T. Tan Carola-Bibiane Schönlieb Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian. 2019 abs/1906.08635 CoRR http://arxiv.org/abs/1906.08635 db/journals/corr/corr1906.html#abs-1906-08635

Ferdia Sherry Martin Benning Juan Carlos de los Reyes Martin J. Graves Georg Maierhofer Guy B. Williams Carola-Bibiane Schönlieb Matthias J. Ehrhardt Learning the Sampling Pattern for MRI. 2019 abs/1906.08754 CoRR http://arxiv.org/abs/1906.08754 db/journals/corr/corr1906.html#abs-1906-08754

Rihuan Ke Aurélie Bugeau Nicolas Papadakis Peter Schütz Carola-Bibiane Schönlieb A multi-task U-net for segmentation with lazy labels. 2019 abs/1906.12177 CoRR http://arxiv.org/abs/1906.12177 db/journals/corr/corr1906.html#abs-1906-12177

Noémie Debroux John A. D. Aston Fabien Bonardi Alistair Forbes Carole Le Guyader Marina Romanchikova Carola Schönlieb A Variational Model Dedicated to Joint Segmentation, Registration and Atlas Generation for Shape Analysis. 2019 abs/1907.01840 CoRR http://arxiv.org/abs/1907.01840 db/journals/corr/corr1907.html#abs-1907-01840

Angelica I. Avilés-Rivero Nicolas Papadakis Ruoteng Li Philip Sellars Qingnan Fan Robby T. Tan Carola-Bibiane Schönlieb GraphXNET-Chest X-Ray Classification Under Extreme Minimal Supervision. 2019 abs/1907.10085 CoRR http://arxiv.org/abs/1907.10085 db/journals/corr/corr1907.html#abs-1907-10085

Veronica Corona Martin Benning Lynn F. Gladden Andi Reci Andrew J. Sederman Carola-Bibiane Schoenlieb Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data. 2019 abs/1908.05285 CoRR http://arxiv.org/abs/1908.05285 db/journals/corr/corr1908.html#abs-1908-05285

Veronica Corona Angelica I. Avilés-Rivero Noémie Debroux Carole Le Guyader Carola-Bibiane Schönlieb Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution. 2019 abs/1908.05911 CoRR http://arxiv.org/abs/1908.05911 db/journals/corr/corr1908.html#abs-1908-05911

Oliver M. Crook Tim Hurst Carola-Bibiane Schönlieb Matthew Thorpe Konstantinos C. Zygalakis PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds. 2019 abs/1909.10221 CoRR http://arxiv.org/abs/1909.10221 db/journals/corr/corr1909.html#abs-1909-10221

Simone Parisotto Luca Calatroni Aurélie Bugeau Nicolas Papadakis Carola-Bibiane Schönlieb Variational Osmosis for Non-linear Image Fusion. 2019 abs/1910.02012 CoRR http://arxiv.org/abs/1910.02012 db/journals/corr/corr1910.html#abs-1910-02012

Jianchao Zhang Angelica I. Avilés-Rivero Daniel Heydecker Xiosheng Zhuang Raymond H. Chan Carola-Bibiane Schönlieb Dynamic Spectral Residual Superpixels. 2019 abs/1910.04794 CoRR http://arxiv.org/abs/1910.04794 db/journals/corr/corr1910.html#abs-1910-04794

Martin Burger 0001 Yury Korolev Simone Parisotto Carola-Bibiane Schönlieb Total Variation Regularisation with Spatially Variable Lipschitz Constraints. 2019 abs/1912.02768 CoRR http://arxiv.org/abs/1912.02768 db/journals/corr/corr1912.html#abs-1912-02768

Qingnan Fan Yingda Yin Dongdong Chen 0001 Yujie Wang Angelica I. Avilés-Rivero Ruoteng Li Carola-Bibiane Schönlieb Dani Lischinski Baoquan Chen Deep Reflection Prior. 2019 abs/1912.03623 CoRR http://arxiv.org/abs/1912.03623 db/journals/corr/corr1912.html#abs-1912-03623

Jiulong Liu Angelica I. Avilés-Rivero Hui Ji 0002 Carola-Bibiane Schönlieb Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction. 2019 abs/1912.07648 CoRR http://arxiv.org/abs/1912.07648 db/journals/corr/corr1912.html#abs-1912-07648

José A. Carrillo 0001 Bertram Düring Lisa Maria Kreusser Carola-Bibiane Schönlieb Equilibria of an anisotropic nonlocal interaction equation: Analysis and numerics. 2019 abs/1912.09337 CoRR http://arxiv.org/abs/1912.09337 db/journals/corr/corr1912.html#abs-1912-09337

Martin Burger 0001 Hendrik Dirks Carola-Bibiane Schönlieb A Variational Model for Joint Motion Estimation and Image Reconstruction. 94-128 2018 11 SIAM J. Imaging Sci. 1 https://doi.org/10.1137/16M1084183 db/journals/siamis/siamis11.html#BurgerDS18

Torbjørn Ringholm Jasmina Lazic Carola-Bibiane Schönlieb Variational Image Regularization with Euler's Elastica Using a Discrete Gradient Scheme. 2665-2691 2018 11 SIAM J. Imaging Sci. 4 https://doi.org/10.1137/17M1162354 https://www.wikidata.org/entity/Q128945057 db/journals/siamis/siamis11.html#RingholmLS18

Antonin Chambolle Matthias J. Ehrhardt Peter Richtárik Carola-Bibiane Schönlieb Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications. 2783-2808 2018 28 SIAM J. Optim. 4 https://doi.org/10.1137/17M1134834 https://www.wikidata.org/entity/Q129144029 db/journals/siamjo/siamjo28.html#ChambolleERS18

Jingwei Liang Carola-Bibiane Schönlieb Faster FISTA. 1-9 2018 EUSIPCO https://doi.org/10.23919/EUSIPCO.2018.8553411 conf/eusipco/2018 db/conf/eusipco/eusipco2018.html#LiangS18 Georg Maierhofer Daniel Heydecker Angelica I. Avilés-Rivero Samar M. Alsaleh Carola-Bibiane Schönlieb Peekaboo-Where are the Objects? Structure Adjusting Superpixels. 3693-3697 2018 ICIP https://doi.org/10.1109/ICIP.2018.8451822 conf/icip/2018 db/conf/icip/icip2018.html#MaierhoferHAAS18 Clarice Poon Jingwei Liang Carola-Bibiane Schoenlieb Local Convergence Properties of SAGA/Prox-SVRG and Acceleration. 4121-4129 2018 ICML http://proceedings.mlr.press/v80/poon18a.html conf/icml/2018 db/conf/icml/icml2018.html#PoonLS18 Sebastian Lunz Carola Schönlieb Ozan Öktem Adversarial Regularizers in Inverse Problems. 8516-8525 2018 NeurIPS https://proceedings.neurips.cc/paper/2018/hash/d903e9608cfbf08910611e4346a0ba44-Abstract.html http://papers.nips.cc/paper/8070-adversarial-regularizers-in-inverse-problems conf/nips/2018 db/conf/nips/nips2018.html#LunzSO18

Georg Maierhofer Daniel Heydecker Angelica I. Avilés-Rivero Samar M. Alsaleh Carola-Bibiane Schönlieb Peekaboo - Where are the Objects? Structure Adjusting Superpixels. 2018 abs/1802.02796 CoRR http://arxiv.org/abs/1802.02796 db/journals/corr/corr1802.html#abs-1802-02796

Luca Calatroni Marie d'Autume Rob Hocking Stella Panayotova Simone Parisotto Paola Ricciardi Carola-Bibiane Schönlieb Unveiling the invisible - mathematical methods for restoring and interpreting illuminated manuscripts. 2018 abs/1803.07187 CoRR http://arxiv.org/abs/1803.07187 db/journals/corr/corr1803.html#abs-1803-07187

Sebastian Lunz Ozan Öktem Carola-Bibiane Schönlieb Adversarial Regularizers in Inverse Problems. 2018 abs/1805.11572 CoRR http://arxiv.org/abs/1805.11572 db/journals/corr/corr1805.html#abs-1805-11572

Daniel Heydecker Georg Maierhofer Angelica I. Avilés-Rivero Qingnan Fan Carola-Bibiane Schönlieb Sabine Süsstrunk Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal. 2018 abs/1805.11589 CoRR http://arxiv.org/abs/1805.11589 db/journals/corr/corr1805.html#abs-1805-11589

Xiaohao Cai Raymond H. Chan Carola-Bibiane Schönlieb Gabriele Steidl Tieyong Zeng Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation. 2018 abs/1807.10194 CoRR http://arxiv.org/abs/1807.10194 db/journals/corr/corr1807.html#abs-1807-10194

Veronica Corona Jan Lellmann Peter J. Nestor Carola-Bibiane Schoenlieb Julio Acosta-Cabronero A multi-contrast MRI approach to thalamus segmentation. 2018 abs/1807.10757 CoRR http://arxiv.org/abs/1807.10757 db/journals/corr/corr1807.html#abs-1807-10757

Matthias J. Ehrhardt Pawel Markiewicz Carola-Bibiane Schönlieb Faster PET Reconstruction with Non-Smooth Priors by Randomization and Preconditioning. 2018 abs/1808.07150 CoRR http://arxiv.org/abs/1808.07150 db/journals/corr/corr1808.html#abs-1808-07150

Jonas Adler Sebastian Lunz Olivier Verdier Carola-Bibiane Schönlieb Ozan Öktem Task adapted reconstruction for inverse problems. 2018 abs/1809.00948 CoRR http://arxiv.org/abs/1809.00948 db/journals/corr/corr1809.html#abs-1809-00948

Angelica I. Avilés-Rivero Guy B. Williams Martin J. Graves Carola-Bibiane Schoenlieb Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction. 2018 abs/1810.10828 CoRR http://arxiv.org/abs/1810.10828 db/journals/corr/corr1810.html#abs-1810-10828

Juan Carlos de los Reyes Carola-Bibiane Schönlieb Tuomo Valkonen Bilevel Parameter Learning for Higher-Order Total Variation Regularisation Models. 1-25 2017 57 J. Math. Imaging Vis. 1 https://doi.org/10.1007/s10851-016-0662-8 https://www.wikidata.org/entity/Q59615548 db/journals/jmiv/jmiv57.html#ReyesSV17

Luca Calatroni Yves van Gennip Carola-Bibiane Schönlieb Hannah M. Rowland Arjuna Flenner Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images. 269-291 2017 57 J. Math. Imaging Vis. 2 https://doi.org/10.1007/s10851-016-0678-0 https://www.wikidata.org/entity/Q59901239 db/journals/jmiv/jmiv57.html#CalatroniGSRF17

Luca Calatroni Juan Carlos de los Reyes Carola-Bibiane Schönlieb Infimal Convolution of Data Discrepancies for Mixed Noise Removal. 1196-1233 2017 10 SIAM J. Imaging Sci. 3 https://doi.org/10.1137/16M1101684 db/journals/siamis/siamis10.html#CalatroniRS17

L. Robert Hocking Russell MacKenzie Carola-Bibiane Schönlieb Guidefill: GPU Accelerated, Artist Guided Geometric Inpainting for 3D Conversion of Film. 2049-2090 2017 10 SIAM J. Imaging Sci. 4 https://doi.org/10.1137/16M1103737 db/journals/siamis/siamis10.html#HockingMS17

Ping Zhong 0001 Zhiqiang Gong Shutao Li 0001 Carola-Bibiane Schönlieb Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification. 3516-3530 2017 55 IEEE Trans. Geosci. Remote. Sens. 6 https://doi.org/10.1109/TGRS.2017.2675902 db/journals/tgrs/tgrs55.html#ZhongGLS17

Martin Benning Michael Möller 0001 Raz Z. Nossek Martin Burger 0001 Daniel Cremers Guy Gilboa Carola-Bibiane Schönlieb Nonlinear Spectral Image Fusion. 41-53 2017 SSVM https://doi.org/10.1007/978-3-319-58771-4_4 conf/scalespace/2017 db/conf/scalespace/ssvm2017.html#Benning0N0CGS17 Martin Benning Guy Gilboa Joana Sarah Grah Carola-Bibiane Schönlieb Learning Filter Functions in Regularisers by Minimising Quotients. 511-523 2017 SSVM https://doi.org/10.1007/978-3-319-58771-4_41 conf/scalespace/2017 db/conf/scalespace/ssvm2017.html#BenningGGS17

Juheon Lee David Coomes Carola-Bibiane Schönlieb Xiaohao Cai Jan Lellmann Michele Dalponte Yadvinder Malhi Nathalie Butt Mike Morecroft A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery. 2017 abs/1701.06715 CoRR http://arxiv.org/abs/1701.06715 db/journals/corr/corr1701.html#LeeCSCLDMBM17

Martin Benning Michael Möller 0001 Raz Z. Nossek Martin Burger 0001 Daniel Cremers Guy Gilboa Carola-Bibiane Schönlieb Nonlinear Spectral Image Fusion. 2017 abs/1703.08001 CoRR http://arxiv.org/abs/1703.08001 db/journals/corr/corr1703.html#Benning0N0CGS17

Antonin Chambolle Matthias J. Ehrhardt Peter Richtárik Carola-Bibiane Schönlieb Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications. 2017 abs/1706.04957 CoRR http://arxiv.org/abs/1706.04957 db/journals/corr/corr1706.html#ChambolleERS17

L. Robert Hocking Thomas Holding Carola-Bibiane Schönlieb Numerical analysis of shell-based geometric image inpainting algorithms and their semi-implicit extension. 2017 abs/1707.09713 CoRR http://arxiv.org/abs/1707.09713 db/journals/corr/corr1707.html#HockingHS17

Leon Bungert David A. Coomes Matthias J. Ehrhardt Jennifer Rasch Rafael Reisenhofer Carola-Bibiane Schönlieb Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation. 2017 abs/1710.05705 CoRR http://arxiv.org/abs/1710.05705 db/journals/corr/corr1710.html#abs-1710-05705

Carola-Bibiane Schönlieb Partial Differential Equation Methods for Image Inpainting. 1-254 Cambridge University Press 2016 Cambridge monographs on applied and computational mathematics 29 978-1-10-700100-8 http://www.cambridge.org/de/academic/subjects/mathematics/mathematical-modelling-and-methods/partial-differential-equation-methods-image-inpainting?format=HB

Martin Burger 0001 Konstantinos Papafitsoros Evangelos Papoutsellis Carola-Bibiane Schönlieb Infimal Convolution Regularisation Functionals of BV and Lp Spaces - Part I: The Finite p Case. 343-369 2016 55 J. Math. Imaging Vis. 3 https://doi.org/10.1007/s10851-015-0624-6 https://www.wikidata.org/entity/Q42421072 db/journals/jmiv/jmiv55.html#BurgerPPS16

Juheon Lee Xiaohao Cai Jan Lellmann Michele Dalponte Yadvinder Malhi Nathalie Butt Mike Morecroft Carola-Bibiane Schönlieb David A. Coomes Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA. 2554-2567 2016 9 IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6 https://doi.org/10.1109/JSTARS.2016.2569408 db/journals/staeors/staeors9.html#LeeCLDMBMSC16

Ping Zhong 0001 Zhiqiang Gong Carola-Bibiane Schönlieb A DBN-crf for spectral-spatial classification of hyperspectral data. 1219-1224 2016 ICPR https://doi.org/10.1109/ICPR.2016.7899803 conf/icpr/2016 db/conf/icpr/icpr2016.html#ZhongGS16

Luca Calatroni Yves van Gennip Carola-Bibiane Schönlieb Hannah M. Rowland Arjuna Flenner Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images. 2016 abs/1602.08574 CoRR http://arxiv.org/abs/1602.08574 db/journals/corr/corr1602.html#CalatroniGSRF16

Martin Burger 0001 Hendrik Dirks Carola-Bibiane Schönlieb A Variational Model for Joint Motion Estimation and Image Reconstruction. 2016 abs/1607.03255 CoRR http://arxiv.org/abs/1607.03255 db/journals/corr/corr1607.html#0001DS16

L. Robert Hocking Russell MacKenzie Carola-Bibiane Schönlieb Guidefill: GPU Accelerated, Artist Guided Geometric Inpainting for 3D Conversion. 2016 abs/1611.05319 CoRR http://arxiv.org/abs/1611.05319 db/journals/corr/corr1611.html#HockingMS16

Jan Lellmann Konstantinos Papafitsoros Carola Schönlieb Daniel Spector Analysis and Application of a Nonlocal Hessian. 2161-2202 2015 8 SIAM J. Imaging Sci. 4 https://doi.org/10.1137/140993818 db/journals/siamis/siamis8.html#LellmannPSS15

Juheon Lee Xiaohao Cai Carola-Bibiane Schönlieb David Coomes Nonparametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Wooded Landscapes. 6073-6084 2015 53 IEEE Trans. Geosci. Remote. Sens. 11 https://doi.org/10.1109/TGRS.2015.2431692 db/journals/tgrs/tgrs53.html#LeeCSC15

Michael Möller 0001 Martin Benning Carola Schönlieb Daniel Cremers Variational Depth From Focus Reconstruction. 5369-5378 2015 24 IEEE Trans. Image Process. 12 https://doi.org/10.1109/TIP.2015.2479469 https://www.wikidata.org/entity/Q40514227 db/journals/tip/tip24.html#0001BSC15

Martin Benning Florian Knoll Carola-Bibiane Schönlieb Tuomo Valkonen Preconditioned ADMM with Nonlinear Operator Constraint. 117-126 2015 System Modelling and Optimization https://doi.org/10.1007/978-3-319-55795-3_10 conf/ifip7/2015 db/conf/ifip7/csmo2015.html#BenningKSV15 Martin Burger 0001 Konstantinos Papafitsoros Evangelos Papoutsellis Carola-Bibiane Schönlieb Infimal Convolution Regularisation Functionals of BV and Lp Spaces. The Case p=∞. 169-179 2015 System Modelling and Optimization https://doi.org/10.1007/978-3-319-55795-3_15 conf/ifip7/2015 db/conf/ifip7/csmo2015.html#BurgerPPS15 Juheon Lee Xiaohao Cai Carola-Bibiane Schönlieb David Coomes Mapping individual trees from airborne multi-sensor imagery. 5411-5414 2015 IGARSS https://doi.org/10.1109/IGARSS.2015.7327059 conf/igarss/2015 db/conf/igarss/igarss2015.html#LeeCSC15

Juan Carlos de los Reyes Carola-Bibiane Schönlieb Tuomo Valkonen The structure of optimal parameters for image restoration problems. 2015 abs/1505.01953 CoRR http://arxiv.org/abs/1505.01953 db/journals/corr/corr1505.html#ReyesSV15

Luca Calatroni Cao Chung Juan Carlos de los Reyes Carola-Bibiane Schönlieb Tuomo Valkonen Bilevel approaches for learning of variational imaging models. 2015 abs/1505.02120 CoRR http://arxiv.org/abs/1505.02120 db/journals/corr/corr1505.html#CalatroniCRSV15

Juan Carlos de los Reyes Carola-Bibiane Schönlieb Tuomo Valkonen Bilevel parameter learning for higher-order total variation regularisation models. 2015 abs/1508.07243 CoRR http://arxiv.org/abs/1508.07243 db/journals/corr/corr1508.html#ReyesSV15a

Konstantinos Papafitsoros Carola-Bibiane Schönlieb A Combined First and Second Order Variational Approach for Image Reconstruction. 308-338 2014 48 J. Math. Imaging Vis. 2 https://doi.org/10.1007/s10851-013-0445-4 db/journals/jmiv/jmiv48.html#PapafitsorosS14

Jan Lellmann Dirk A. Lorenz Carola-Bibiane Schönlieb Tuomo Valkonen Imaging with Kantorovich-Rubinstein Discrepancy. 2833-2859 2014 7 SIAM J. Imaging Sci. 4 https://doi.org/10.1137/140975528 db/journals/siamis/siamis7.html#LellmannLSV14

Jan Lellmann Dirk A. Lorenz Carola Schönlieb Tuomo Valkonen Imaging with Kantorovich-Rubinstein discrepancy. 2014 abs/1407.0221 CoRR http://arxiv.org/abs/1407.0221 db/journals/corr/corr1407.html#LellmannLSV14

Michael Möller 0001 Martin Benning Carola-Bibiane Schönlieb Daniel Cremers Variational Depth from Focus Reconstruction. 2014 abs/1408.0173 CoRR http://arxiv.org/abs/1408.0173 db/journals/corr/corr1408.html#MoellerBSC14

Juheon Lee Xiaohao Cai Carola-Bibiane Schönlieb David Coomes Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Forests. 2014 abs/1410.0226 CoRR http://arxiv.org/abs/1410.0226 db/journals/corr/corr1410.html#LeeCSC14

Konstantinos Papafitsoros Carola-Bibiane Schönlieb Bati Sengul Combined First and Second Order Total Variation Inpainting using Split Bregman. 112-136 2013 3 Image Process. Line https://doi.org/10.5201/ipol.2013.40 db/journals/ipol/ipol3.html#PapafitsorosSS13

Andreas Langer Stanley J. Osher Carola-Bibiane Schönlieb Bregmanized Domain Decomposition for Image Restoration. 549-576 2013 54 J. Sci. Comput. 2-3 https://doi.org/10.1007/s10915-012-9603-x db/journals/jscic/jscic54.html#LangerOS13

Martin Benning Luca Calatroni Bertram Düring Carola-Bibiane Schönlieb A Primal-Dual Approach for a Total Variation Wasserstein Flow. 413-421 2013 GSI https://doi.org/10.1007/978-3-642-40020-9_45 conf/gsi/2013 db/conf/gsi/gsi2013.html#BenningCDS13 Luca Calatroni Juan Carlos de los Reyes Carola-Bibiane Schönlieb Dynamic Sampling Schemes for Optimal Noise Learning Under Multiple Nonsmooth Constraints. 85-95 2013 System Modelling and Optimization https://doi.org/10.1007/978-3-662-45504-3_8 conf/ifip7/2013 db/conf/ifip7/csmo2013.html#CalatroniRS13 Jan Lellmann Jean-Michel Morel Carola-Bibiane Schönlieb Anisotropic Third-Order Regularization for Sparse Digital Elevation Models. 161-173 2013 SSVM https://doi.org/10.1007/978-3-642-38267-3_14 conf/scalespace/2013 db/conf/scalespace/ssvm2013.html#LellmannMS13

Carsten Gottschlich Carola-Bibiane Schönlieb Oriented diffusion filtering for enhancing low-quality fingerprint images. 105-113 2012 1 IET Biom. 2 https://doi.org/10.1049/iet-bmt.2012.0003 db/journals/iet-bmt/iet-bmt1.html#GottschlichS12

Massimo Fornasier Yunho Kim Andreas Langer Carola-Bibiane Schönlieb Wavelet Decomposition Method for L2//TV-Image Deblurring. 857-885 2012 5 SIAM J. Imaging Sci. 3 https://doi.org/10.1137/100819801 db/journals/siamis/siamis5.html#FornasierKLS12

Massimo Fornasier Andreas Langer Carola-Bibiane Schönlieb A convergent overlapping domain decomposition method for total variation minimization. 645-685 2010 116 Numerische Mathematik 4 https://doi.org/10.1007/s00211-010-0314-7 db/journals/nm/nm116.html#FornasierLS10

Martin Burger 0001 Lin He 0010 Carola-Bibiane Schönlieb Cahn--Hilliard Inpainting and a Generalization for Grayvalue Images. 1129-1167 2009 2 SIAM J. Imaging Sci. 4 https://doi.org/10.1137/080728548 db/journals/siamis/siamis2.html#BurgerHS09

Massimo Fornasier Carola-Bibiane Schönlieb Subspace Correction Methods for Total Variation and 1-Minimization. 3397-3428 2009 47 SIAM J. Numer. Anal. 5 https://doi.org/10.1137/070710779 db/journals/siamnum/siamnum47.html#FornasierS09

Carola Schönlieb Kung Chieh Wang Line Segmentation and Analysis with Special Interest to the Duct of a Line. 550-555 2004 conf/icvgip/2004 ICVGIP db/conf/icvgip/icvgip2004.html#SchonliebW04 Ali Abbas Eva Achmad Julio Acosta-Cabronero Ben Adcock Jonas Adler Soroosh Afyouni Agustiono Heeyoung Ahn Laura Aiken Leonor Cerdá Alberich Angel Alberich-Bayarri Samar M. Alsaleh Nicole Amberg Lucas Amenga-Etego Praveen Anand M. J. Arends Simon R. Arridge Alvaro Arroyo Josep Arús-Pous Folkert W. Asselbergs John A. D. Aston Angelica I. Avilés-Rivero Gordon A. Awandare Kamyar Azizzadenesheli Hussam Azzuni Judith Babar Davide Bacciu Martin Baerveldt Bubacarr Bah Song Bai 0001 Xiang Bai Elizabeth Louise Baker Raja Muhammad Saad Bashir Chaim Baskin Kees Joost Batenburg Georgios Batzolis Elias Baumann Maya Bechler-Speicher Jake Beckford Emma Beddowes Lucian Beer Erik J. Bekkers Martin Bennett Martin Benning Kinga Bernatowicz Marta M. Betcke Beatrice Bevilacqua Ander Biguri Wolfgang Birkfellner Marie-Claire Blache Kamen Bliznashki Thomas Blumensath Richard P. Boardman Nancy Boeckx Moritz Böhland Fabien Bonardi Johannes Bostelmann Jérôme Boulanger Nicolas Boullé Kim M. Branson Kristian Bredies Anna Breger Edmund Førland Brekke Elisabeth Brunner Robert Bryll Andrey Bryutkin Tatiana A. Bubba Spike Bucklow Chris J. Budd Jeremy Budd Aurélie Bugeau Thu Bui Leon Bungert Martin Burger 0001 Bernard Butler Nathalie Butt Wenjie Cai Xiaohao Cai Ziruo Cai Luca Calatroni Carlos Caldas Sergio Calvo-Ordoñez Aurélio J. C. CampilhoAurélio Campilho Priscilla Canizares Semih Cantürk Jaime S. Cardoso 0001 Marcello Carioni José A. Carrillo 0001 Elena Celledoni Andrea Ceni Antonin Chambolle Raymond Chan 0001Raymond H. Chan Jean-Paul Charbonnier Avishek Chatterjee Anguo Chen Baoquan Chen C. L. Philip Chen Chang Wen Chen Chu Chen Daniel G. Chen Dongdong Chen 0001 Dongdong Chen 0004 Gaohang Chen Jianwei Chen Xi Chen 0042 Xu Chen Yichen Chen Yichen Kelly Chen Yutong Chen Yuyan Chen Chun-Wun Cheng Jijun Cheng Yanqi Cheng Loong Fah Cheong Eva Yi Wah Cheung Hsiang-Chin Chien Rustum Choksi Cao Chung AIX-COVNET Collaboration BloodCounts Collaboration Sean M. Collins Arthur Conmy BloodCounts Consortium David CoomesDavid A. Coomes Veronica Corona Nathaël Da Costa Pedro Costa 0005 Daniel Cremers Oliver M. Crook Jan Oscar Cross-Zamirski Mihai Cucuringu Zaixu Cui Umberto D'alessandro Nicholas Dalhaug Michele Dalponte Yehuda Dar Marie d'Autume Mike E. Davies 0001 Muhammad Dawood Noémie Debroux Claire Delplancke Simon Deltadahl Zhongying Deng J. Denholm Jim Denholm Alexander Denker Srijay Deshpande Teo Deveney Maximilian Diehn Willem Diepeveen Hendrik Dirks Sören Dittmer Bin Dong Xiaowen Dong 0001 Pier Luigi Dragotti Derek Driggs Kangrui Du Ye Du 0002 Yi Du Yash Dubey Stanislas Ducotterd Pranay Dumbhare Bertram Düring Nilankur Dutta Maria Dwornik Matthias J. EhrhardtMatthias Joachim Ehrhardt Maureen van Eijnatten Moshe Eliasof Thomas R. Else Stefano Ermon Benoit Ernst Amer Essakine Carlos EsteveCarlos Esteve Yagüe Jocelyn Étienne Christian Etmann Qingnan Fan Ziwei Fan 0005 Evandro Fei Fang Yingying Fang Zhenghan Fang Zijie Fang Timothy Farren Anita Faul Or Feldman Sophie Fellenz Wei Feng 0005 Javier Fernández-Marqués Pedro F. Ferreira David N. Firmin Arjuna Flenner Nina Flerin Irene Fonseca Alistair Forbes Massimo Fornasier Alejandro F. Frangi Billy Joe Franks Fabrizio Frasca Tanya Freeman Stefania Fresca Huazhu Fu Ying Fu 0001 Takashi Furuya Devika R. G. Romina Gaburro Eshed Gal Yarin Gal Ferdia A. Gallagher Claudio Gallicchio Jiefeng Gan Kanchana Vaishnavi Gandikota Zhifan Gao Thomas Gärtner 0001 Silvia Gazzola Jonas Geiping Yoav Gelberg Elva Gemita Yves van Gennip Michael Gensheimer 0001 Ran Gilad-Bachrach Fiona J. Gilbert Julian D. Gilbey Guy Gilboa Effrossyni Gkrania-Klotsas Lynn F. Gladden Nicholas S. Gleadall Amir Globerson Rahul Goel Zhiqiang Gong Ariel Goodwin Richard Goodwin Carsten Gottschlich Joana Sarah Grah Simon Graham Martin J. Graves Alessio Gravina Niccolò Grillo Janek Gröhl Tamara G. Grossmann Sophie Gu Julien Guiot Yunzhe Guo Rajeev Gupta Carole Le Guyader Eldad Haber Habibi Neil J. Halin Markus Haltmeier Chu Han Maria L. Hänel Ali Hariri Rhett D. Harrison Fred Vickers Hastings Sepideh Hatamikia Andreas Hauptmann Alon Hazan Jing He Jinzheng He Junjun He Junyi He Lin He 0010 Zhihai He Philipp Hennig Yvonne Henskens Francisco Herrera Johannes Hertrich Daniel Heydecker John V. Heymach Sarah Hickman Peter Hirsch 0001 Lucy V. Hiscox Rob HockingL. Robert Hocking Tim Hoheisel Nagaraj Holalkere Thomas Holding Martin Holler Markus Holzer 0003 Chenyang Hong Yiyu Hong Lior Horesh Kit Howard Xiaowei Hu 0001 Banban Huang Chaoyan Huang Hua Huang 0001 Jiahao Huang Nick Huang Renhao Huang Wenjian Huang 0001 Yuan Huang 0009 Zhening Huang Ziyan Huang Mirelle Huijskens Tim Hurst Bambang Irawan S. M. Ragib Shahriar Islam F. Jaeckle David A. Jaffray Mostafa Jahanifar Ayushi Jain Ankush D. JamthikarAnkush Jamthikar Emily R. Jefferson Benn Jessney Hui Ji 0002 C. Victor JijiJiji C. V. Kexin Jin Yueming Jin Peiyuan Jing Fabian Jogl Curtis L. Johnson Duncan N. Johnstone James Jones Hyun Jung Dagmar KainmüllerDagmar Kainmueller Ihab R. Kamel Sujoy Kar Clemens Karner Satoshi Kasai Stefanie Kaser Fumi Kato Rihuan Ke Mikhail Kennerley Zeljko Kereta Peter Keuschnigg Zohya Khalique Naïl Khelifa Soo-Hyung Kim Yunho Kim Mark Kirkland Maximilian B. Kiss Marius Kloft Florian Knoll Erich Kobler Mickey Koh Kyriaki Kokka Urszula Julia Komorowska Satoshi Kondo Anna Korhonen Yury Korolev Madeleine Kotzagiannidis Madeleine S. Kotzagiannidis Zoe Kourtzi Lisa Maria Kreusser Daniel Kreuter Friso de Kruiff Lorenz Kuger Gitta Kutyniok Jin Tae Kwak Ivan I. Kyrchei S. M. Labib Agnieszka Lach Christine van Laer Zorah Lähner Chieh-Hsin Lai Philippe Lambin Lukas Lamminger Malena Sabaté LandmanMalena Sabate Landman Nicholas D. Lane Lukas F. Lang Andreas Langer Georg Langs Joan Lasenby Jonas Latz William Lauga Alessandro Launaro Jasmina Lazic Chia-Yen Lee Juheon Lee Taebum Lee Mathie P. G. Leers Du Lei Tim Leiner Jan Lellmann Martin O. Lenz Ninetta Leone Oscar Leong Chao Li 0031 Jiachen Li Jinglai Li Jizhou Li Pengze Li Ping Li 0016 Ruijiang Li Ruoteng Li Shutao Li 0001 Yangming Li Yifan Li Yonghao Li Zhen Li 0013 Zhonghao Li Jingwei Liang Kristina Xiao Liang Edward Lilley Thiago Lima Chunhui Lin Hong-Kun Lin Zhifan Lin Reuben Lindroos Jeremy A. Lindsell Pietro LiòPietro LióPietro Lio William R. B. Lionheart Dani Lischinski Boxing Liu Chaoyu Liu Chenguang Liu Jiulong Liu Lihao Liu Pan Liu 0004 Shuolin Liu Weiyang Liu Xiaowu Liu Yi Liu Zaiyi Liu Katharina Löffler Manasavee Lohvithee Billy W. Loo Dirk A. Lorenz Felix Lucka Jovita Lukasik Sebastian Lunz Tao Luo Ke Ma 0012 Liya Ma Peter Maass Russell MacKenzie Georg Maierhofer Yadvinder Malhi James Manton Krishna Sri Ipsit Mantri Lijian Mao Pawel J. MarkiewiczPawel Markiewicz Haggai Maron Luis Martí-Bonmatí Luca Martial Simon Masnou Alex Massucco Cathal McCague Samuel McDermott Robert I. McLachlan Yughender Meda Stathis Megas Natacha Kuete Meli Marion I. Menzel Rudolf Mester Tianyi Miao Zhengyang Miao Paul A. Midgley Ralf Mikut Fayyaz ul Amir Afsar MinhasFayyaz Minhas Tuomas Mirtti Prakash Mishra Yuki Mitsufuji Poorya MohammadiNasab Michael Möller 0001Michael Moeller 0001 Pattanasak Mongkolwat Javier Montoya Javier A. Montoya-Zegarra Mike Morecroft Jean-Michel Morel Elizabeth Mouchet Bálint Mucsányi Subhadip Mukherjee Eike Hermann Müller Davide Murari Siofra Murdoch Leila Muresan Parashkev Nachev Yang Nan 0002 Joel W. Neal Peter J. Nestor Oliver Neumann Sebastian Neumayer Jon Neville Kerry A. Nice Sonia Nielles-Vallespin Lipeng Ning Zhangming Niu Raz Z. Nossek João D. Nunes Josephine Elisabeth Oettinger Ozan Öktem Mary Chriselda Antony Oliver Stanley J. Osher Matan Ostrovsky Willem H. Ouwehand John Owen Brynjulf Owren Sukhmani Padda Alberto Paganini Xipeng Pan Stella Panayotova Saurabh Pandey Nicolas Papadakis Konstantinos Papafitsoros Kostas Papafitsoros Giorgos Papanastasiou Evangelos Papoutsellis Simone Parisotto Ana Pastor Mishal Patel Wallace Peaslee Hankui Peng Xuehua Peng Dudley PennellDudley J. Pennell Alessandro Perelli Marcelo Pereyra Vedant Phuse Concetta Piazzese Benoît Piégu Krzysztof Polanski Clarice Poon Jacobus Preller Stephen J. PriceStephen John Price Helmut Prosch Jean Prost Densen Puthussery Shouliang Qi Zhonghua Qiao Lan Qie Harry QinJing Qin 0001 Reinout QuispelG. R. W. Quispel Ramyah Rajakulasingam Nasir M. Rajpoot Antti Rannikko Jennifer Rasch Shan E Ahmed RazaShan-E-Ahmed Raza Andi Reci Alberto Redaelli Saikumar Reddy Markus Reischl Rafael Reisenhofer Elena Resmerita Juan Carlos de los Reyes Suzanne Reynolds Bruno Ribeiro 0001 Paola Ricciardi Peter Richtárik Muhammad Ridzuan Erlend Skaldehaug Riis Eva M. van Rikxoort Torbjørn Ringholm Michael Roberts Mike Roberts Orietta Da Rold Marina Romanchikova James Rowbottom Hannah M. Rowland Daniel L. Rubin James H. F. Rudd Daniel Rueckert Josef Lorenz Rumberger Leonardo Rundo Christina Runkel Hrishikesh P. S Tomoyuki Sadakane Timothy J. Sadler Simone Saitta Evis Sala Mohammad Sadegh Salehi Lorena Escudero Sanchez Jason Sangha Bénédicte Sanson Kwabena Sarpong Elena Scarpa Tim Scherr Gabriele Kaminski Schierle Marcel P. Schilling Uwe Schmidt Timothée Schmoderer Philipp Scholl 0003 Katharina Schratz B. A. Schreiber Martijn Schut Peter Schütz Johannes Schwab Andrew D. Scott Ousman Secka Andrew J. Sederman Ian Selby Philip Sellars Bati Sengul Javier Del Ser Tolou Shadbahr Shahab Shahipasand Jianbo Shao Zhenda Shen Adam J. ShephardAdam Shephard Ferdia Sherry Fadong Shi Kuangyu Shi Hiroki Shirato Chang Shu Zakhar Shumaylov Md Shahriar Rahim Siddiqui Ranil De Silva Suthesh Sivapalaratnam Matthew Smith David R. J. Snead E. J. Soilleux Daniel Spector Annette Stahl Jan Stanczuk Gabriele Steidl Philipp Steininger Christiane Stollenwerk Jeremias Sulam Sabine Süsstrunk Tom Swinfield Julián Tachella Dhairya Talsania Hong Ye Tan Robby T. Tan Chunling Tang Hao Tang Jiaxue Tang Jing Tang 0002 Junqi Tang Yushun Tang Kasia Targonska-Hadzibabic Tanja Tarvainen Joseph Taylor Philip Teare Sarah A. Teichmann Zhongzhao Teng Arthikkaa Thavakumar Matthew Thorpe Bogdan Toader Robert Tovey Jakob Träuble Eran Treister Sara Trompeter Dandan Tu Samuel Tull Riku Turkki Stephan Ursprung Yakov Vaisbourd Emilien Valat Tuomo Valkonen Pierre Vandergheynst Olivier Verdier Gregory Verghese Bertrand Vernay Ramón Viñas 0001Ramón Viñas Torné 0001 Thi Tuong Vi Vo Wim Vos Quoc Dang Vu Trinh Thi Le Vuong German Shâma Wache Heather Wakelee Sean Walsh 0004 Simon Walsh Nicholas Walton Amy Xiang Wang Chengyan Wang Ching-Ping Wang Chixin Wang Fanwen Wang Ge Wang 0001 Gerald Wang Hanchen Wang 0002 Haoyu Wang Jianming Wang Kung Chieh Wang Lichao Wang Ming-Wei Wang 0001 Shuai Wang Shujun Wang Shuo Wang 0011 Sifan Wang Song Wang 0002 Weiming Wang 0002 Xi Wang 0044 Xiang Wang Xiaoqiang Wang 0007 Xinzhi Wang Xiyue Wang Yinhai Wang Yujie Wang Marcel Wassin Melanie Weber 0001 Kaixuan Wei Tao Wei Yiran Wei 0002 Martin Weigert 0001 Jonathan R. Weir-McCall Adrian Weller Guy B. Williams Jonathan Williams 0003Jonathan V. Williams Sophie Williams Bart de Wit Norbert C. J. de Wit Ramona Woitek Guy Wolf Tobias Wolf Hok Shing Wong Sarinrat Wonglee James Woodcock Henry C. Woodruff Jia Wu 0009 Min Wu Weiwen Wu Yinzhe Wu 0001 Zhongming Wu Tian Xia Jinxi Xiang Xianglu Xiao Xiaodan Xing Chuou Xu Guixian Xu Min Xu 0009 Yongchao Xu Ruodan Yan Dehua Yang Fan Yang 0038 Guang Yang 0006 Guangqian Yang Jiehua Yang Liutao Yang Mo Yang Sen Yang 0006 Xin Yang 0011 Yijun Yang Yuhang Yang Zhihan Yang 0001 Pew-Thian Yap Mohammad Yaqub Michael Yeung Yingda Yin Weiqin Ying Ke Yu Lequan Yu Martin Zach Peter Zaika Mohamad Zeina Tieyong Zeng Yu Zeng Changzheng Zhang Daoqiang Zhang Fan Zhang Haosen Zhang Jianchao Zhang Jianguo Zhang 0001 Jianjun Zhang Jun Zhang 0018 Lipei Zhang Liukun Zhang Qian Zhang Qing Zhang 0006 Sheng Zhang 0024 Wenhua Zhang Wenqing Zhang Xiaoqun Zhang Yasi Zhang Ye Zhang 0043 Yi Zhang 0109 Yongbing Zhang 0002 Yunfan Zhang Yining Zhao Yitian Zhao Chuangsheng Zheng Chuansheng Zheng Yong-Ping ZhengYongping Zheng Ping Zhong 0001 Jiayuan Zhu Lei Zhu 0003 Xiaosheng Zhuang Xiosheng Zhuang Dorsa Ziaei Jing Zou Xinyu Zou Muhammad Zudhi Konstantinos C. Zygalakis