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Mauricio Reyes 0001
Mauricio Reyes Aguirre
Person information
- affiliation: University of Bern, Switzerland
Other persons with the same name
- Mauricio Reyes 0002 — Universidad de Valencia, Spain
- Mauricio Reyes 0003
— Universidad Nacional Autónoma de Mexico (UNAM)
- Mauricio Reyes 0004 — Concepcion University, Electrical Engineering Department, Chile
- Mauricio Reyes 0005 — Universidad del Desarrollo, Santiago, Chile
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2020 – today
- 2024
- [j33]Junlin Yang
Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week. Comput. Medical Imaging Graph. 118: 102442 (2024) - [j32]Suhang You
SaRF: Saliency regularized feature learning improves MRI sequence classification. Comput. Methods Programs Biomed. 243: 107867 (2024) - [j31]Dwarikanath Mahapatra
GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification. Medical Image Anal. 93: 103075 (2024) - [j30]Dwarikanath Mahapatra
ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification. Medical Image Anal. 97: 103261 (2024) - [j29]Aurélie Pahud de Mortanges
Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging. npj Digit. Medicine 7(1) (2024) - [c72]Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes, Jean-Philippe Thiran:
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification. AAAI 2024: 21378-21386 - [c71]Shelley Zixin Shu, Aurélie Pahud de Mortanges, Alexander Poellinger, Dwarikanath Mahapatra, Mauricio Reyes:
INFORMER- Interpretability Founded Monitoring of Medical Image Deep Learning Models. UNSURE@MICCAI 2024: 215-224 - [c70]Zahira Mercado, Amith Kamath, Robert Poel, Jonas Willmann, Ekin Ermis, Elena Riggenbach, Lucas Mose, Nicolaus Andratschke, Mauricio Reyes:
AutoDoseRank: Automated Dosimetry-Informed Segmentation Ranking for Radiotherapy. CaPTion@MICCAI 2024: 221-230 - [i30]Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR abs/2403.19425 (2024) - [i29]Haozhe Luo, Aurélie Pahud de Mortanges, Oana Inel, Abraham Bernstein, Mauricio Reyes:
DWARF: Disease-weighted network for attention map refinement. CoRR abs/2406.17032 (2024) - [i28]Ezequiel de la Rosa, Ruisheng Su, Mauricio Reyes, Roland Wiest, Evamaria Olga Riedel, Florian Kofler, Kaiyuan Yang, Hakim Baazaoui, David Robben, Susanne Wegener, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze:
ISLES'24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data. CoRR abs/2408.10966 (2024) - [i27]Evamaria Olga Riedel, Ezequiel de la Rosa, The Anh Baran, Moritz Roman Hernandez Petzsche, Hakim Baazaoui, Kaiyuan Yang, David Robben, Joaquin Oscar Seia, Roland Wiest, Mauricio Reyes, Ruisheng Su, Claus Zimmer, Tobias Boeckh-Behrens, Maria Berndt, Bjoern H. Menze, Benedikt Wiestler, Susanne Wegener, Jan S. Kirschke:
ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke. CoRR abs/2408.11142 (2024) - 2023
- [j28]Elias Rüfenacht
PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion. Comput. Methods Programs Biomed. 231: 107374 (2023) - [j27]Dwarikanath Mahapatra
Graph Node Based Interpretability Guided Sample Selection for Active Learning. IEEE Trans. Medical Imaging 42(3): 661-673 (2023) - [c69]Amith Kamath, Robert Poel, Jonas Willmann, Ekin Ermis, Nicolaus Andratschke
ASTRA: Atomic Surface Transformations for Radiotherapy Quality Assurance. EMBC 2023: 1-4 - [c68]Amith Kamath, Robert Poel, Jonas Willmann, Nicolaus Andratschke, Mauricio Reyes:
How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation? ISBI 2023: 1-4 - [c67]Suhang You, Devavrat Tomar, Behzad Bozorgtabar, Mauricio Reyes:
SaGTTA: Saliency Guided Test Time Augmentation for Medical Image Segmentation Across Vendor Domain Shift. ISBI 2023: 1-4 - [c66]Dwarikanath Mahapatra, Antonio José Jimeno-Yepes, Shiba Kuanar, Sudipta Roy, Behzad Bozorgtabar, Mauricio Reyes, Zongyuan Ge:
Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification. MICCAI (2) 2023: 276-286 - [c65]Amith Kamath, Jonas Willmann, Nicolaus Andratschke, Mauricio Reyes:
Do We Really Need that Skip-Connection? Understanding Its Interplay with Task Complexity. MICCAI (4) 2023: 302-311 - [c64]Elias Rüfenacht
Dose Guidance for Radiotherapy-Oriented Deep Learning Segmentation. MICCAI (9) 2023: 525-534 - [e11]Jonghye Woo, Alessa Hering, Wilson Silva
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14394, Springer 2023, ISBN 978-3-031-47424-8 [contents] - [i26]Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - 2022
- [j26]Miao Kang, Xiaojun Hu, Weilin Huang
Dual-stream pyramid registration network. Medical Image Anal. 78: 102379 (2022) - [j25]Dwarikanath Mahapatra, Alexander Poellinger, Mauricio Reyes:
Interpretability-Guided Inductive Bias For Deep Learning Based Medical Image. Medical Image Anal. 81: 102551 (2022) - [j24]Dwarikanath Mahapatra
Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency Maps. IEEE Trans. Medical Imaging 41(9): 2443-2456 (2022) - [c63]Dwarikanath Mahapatra, Behzad Bozorgtabar
Medical Image Super Resolution by Preserving Interpretable and Disentangled Features. ECCV Workshops (7) 2022: 709-721 - [c62]Dwarikanath Mahapatra, Mauricio Reyes:
Multi-label Attention Map Assisted Deep Feature Learning for Medical Image Classification. ECCV Workshops (7) 2022: 722-734 - [c61]Rudy Rizzo
Reliability of Quantification Estimates in MR Spectroscopy: CNNs vs Traditional Model Fitting. MICCAI (8) 2022: 715-724 - [e10]Mauricio Reyes
Interpretability of Machine Intelligence in Medical Image Computing - 5th International Workshop, iMIMIC 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13611, Springer 2022, ISBN 978-3-031-17975-4 [contents] - [i25]Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i24]Moritz Roman Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning, Roland Wiest
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset. CoRR abs/2206.06694 (2022) - 2021
- [j23]Adriano Pinto
Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI With Parametric Maps Using Deep Learning. IEEE Access 9: 26260-26270 (2021) - [j22]Bjoern H. Menze
Analyzing magnetic resonance imaging data from glioma patients using deep learning. Comput. Medical Imaging Graph. 88: 101828 (2021) - [j21]Alain Jungo
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis. Comput. Methods Programs Biomed. 198: 105796 (2021) - [j20]Adriano Pinto, Sérgio Pereira
Combining unsupervised and supervised learning for predicting the final stroke lesion. Medical Image Anal. 69: 101888 (2021) - [j19]Robert Poel, Elias Rüfenacht, Evelyn Hermann, Stefan Scheib, Peter Manser
The predictive value of segmentation metrics on dosimetry in organs at risk of the brain. Medical Image Anal. 73: 102161 (2021) - [j18]Dwarikanath Mahapatra
Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation. IEEE Trans. Medical Imaging 40(10): 2548-2562 (2021) - [c60]Daniel Abler
Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction. BrainLes@MICCAI (2) 2021: 367-380 - [e9]Mauricio Reyes
Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12929, Springer 2021, ISBN 978-3-030-87443-8 [contents] - [i23]Adriano Pinto, Sérgio Pereira, Raphael Meier, Roland Wiest, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Combining unsupervised and supervised learning for predicting the final stroke lesion. CoRR abs/2101.00489 (2021) - [i22]Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke
Common Limitations of Image Processing Metrics: A Picture Story. CoRR abs/2104.05642 (2021) - [i21]Jean Pablo Vieira de Mello, Thiago M. Paixão, Rodrigo Ferreira Berriel, Mauricio Reyes, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Deep Learning-based Type Identification of Volumetric MRI Sequences. CoRR abs/2106.03208 (2021) - 2020
- [j17]Xiaojun Hu, Weijian Luo, Jiliang Hu, Sheng Guo, Weilin Huang, Matthew R. Scott, Roland Wiest
Brain SegNet: 3D local refinement network for brain lesion segmentation. BMC Medical Imaging 20(1): 17 (2020) - [j16]Fabian Balsiger
Spatially regularized parametric map reconstruction for fast magnetic resonance fingerprinting. Medical Image Anal. 64: 101741 (2020) - [c59]Yannick Suter, Urspeter Knecht, Roland Wiest
Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors. BrainLes@MICCAI (1) 2020: 307-317 - [c58]Jean Pablo Vieira de Mello, Thiago M. Paixão, Rodrigo Ferreira Berriel, Mauricio Reyes, Claudine Badue
Deep Learning-based Type Identification of Volumetric MRI Sequences. ICPR 2020: 5674-5681 - [c57]José Pereira Amorim
Interpretability vs. Complexity: The Friction in Deep Neural Networks. IJCNN 2020: 1-7 - [c56]Fabian Balsiger
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks. MLMIR@MICCAI 2020: 60-69 - [c55]Yannick Suter
Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning. MLCN/RNO-AI@MICCAI 2020: 129-138 - [c54]Wilson Silva, Alexander Pollinger, Jaime S. Cardoso
Interpretability-Guided Content-Based Medical Image Retrieval. MICCAI (1) 2020: 305-314 - [i20]Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Benjamin Marty, Mauricio Reyes:
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks. CoRR abs/2008.04139 (2020) - [i19]Alain Jungo, Olivier Scheidegger, Mauricio Reyes, Fabian Balsiger:
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis. CoRR abs/2010.03639 (2020)
2010 – 2019
- 2019
- [j15]Behzad Bozorgtabar
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. Comput. Vis. Image Underst. 184: 57-65 (2019) - [j14]Vimal Chandran
Supervised learning for bone shape and cortical thickness estimation from CT images for finite element analysis. Medical Image Anal. 52: 42-55 (2019) - [c53]Michael Rebsamen
Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019. ABCD-NP@MICCAI 2019: 26-34 - [c52]Alain Jungo
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation. MICCAI (2) 2019: 48-56 - [c51]Fabian Balsiger
Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation. MICCAI (2) 2019: 273-281 - [c50]Xiaojun Hu, Miao Kang, Weilin Huang, Matthew R. Scott, Roland Wiest
Dual-Stream Pyramid Registration Network. MICCAI (2) 2019: 382-390 - [c49]Fabian Balsiger, Olivier Scheidegger, Pierre G. Carlier, Benjamin Marty, Mauricio Reyes:
On the Spatial and Temporal Influence for the Reconstruction of Magnetic Resonance Fingerprinting. MIDL 2019: 27-38 - [e8]Alessandro Crimi, Spyridon Bakas, Hugo J. Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I. Lecture Notes in Computer Science 11383, Springer 2019, ISBN 978-3-030-11722-1 [contents] - [e7]Alessandro Crimi, Spyridon Bakas, Hugo J. Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II. Lecture Notes in Computer Science 11384, Springer 2019, ISBN 978-3-030-11725-2 [contents] - [e6]Kenji Suzuki
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11797, Springer 2019, ISBN 978-3-030-33849-7 [contents] - [i18]Richard McKinley, Rik Wepfer, Fabian Aschwanden, Lorenz Grunder, Raphaela Muri, Christian Rummel, Rajeev Verma, Christian Weisstanner, Mauricio Reyes, Anke Salmen, Andrew Chan, Franca Wagner, Roland Wiest:
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks. CoRR abs/1901.07419 (2019) - [i17]Richard McKinley, Michael Rebsamen, Raphael Meier, Mauricio Reyes, Christian Rummel, Roland Wiest:
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks. CoRR abs/1904.02436 (2019) - [i16]Richard McKinley, Lorenz Grunder, Rik Wepfer, Fabian Aschwanden, Tim Fischer, Christoph Friedli, Raphaela Muri, Christian Rummel, Rajeev Verma, Christian Weisstanner, Mauricio Reyes, Anke Salmen, Andrew Chan, Roland Wiest, Franca Wagner:
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence. CoRR abs/1904.03041 (2019) - [i15]Behzad Bozorgtabar, Dwarikanath Mahapatra, Hendrik von Teng, Alexander Pollinger, Lukas Ebner, Jean-Philippe Thiran, Mauricio Reyes:
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. CoRR abs/1904.10781 (2019) - [i14]Fabian Balsiger, Yannick Soom, Olivier Scheidegger, Mauricio Reyes:
Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation. CoRR abs/1906.02281 (2019) - [i13]Alain Jungo, Mauricio Reyes:
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation. CoRR abs/1907.03338 (2019) - [i12]Xiaojun Hu, Miao Kang, Weilin Huang, Matthew R. Scott, Roland Wiest, Mauricio Reyes:
Dual-Stream Pyramid Registration Network. CoRR abs/1909.11966 (2019) - [i11]Fabian Balsiger
Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting. CoRR abs/1911.03786 (2019) - 2018
- [j13]Hans Martin Kjer
Patient-specific estimation of detailed cochlear shape from clinical CT images. Int. J. Comput. Assist. Radiol. Surg. 13(3): 389-396 (2018) - [j12]Sérgio Pereira
Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation. Medical Image Anal. 44: 228-244 (2018) - [j11]Ping Lu
Highly Accurate Facial Nerve Segmentation Refinement From CBCT/CT Imaging Using a Super-Resolution Classification Approach. IEEE Trans. Biomed. Eng. 65(1): 178-188 (2018) - [c48]Yannick Suter
Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression. ISBI 2018: 1052-1055 - [c47]Fabian Balsiger
Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks. MLMIR@MICCAI 2018: 39-46 - [c46]Sérgio Pereira
Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment. MLCN/DLF/iMIMIC@MICCAI 2018: 106-114 - [c45]Adriano Pinto, Sérgio Pereira
Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction. MICCAI (3) 2018: 107-115 - [c44]Yannick Suter, Alain Jungo, Michael Rebsamen
Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction. BrainLes@MICCAI (2) 2018: 429-440 - [c43]Dwarikanath Mahapatra, Behzad Bozorgtabar
Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network. MICCAI (2) 2018: 580-588 - [c42]Alain Jungo, Raphael Meier, Ekin Ermis
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation. MICCAI (1) 2018: 682-690 - [e5]Alessandro Crimi, Spyridon Bakas, Hugo J. Kuijf, Bjoern H. Menze, Mauricio Reyes:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10670, Springer 2018, ISBN 978-3-319-75237-2 [contents] - [e4]Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes, Anne L. Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt, Bennett A. Landman, M. Jorge Cardoso, Carlos A. Silva, Sérgio Pereira, Raphael Meier:
Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. Lecture Notes in Computer Science 11038, Springer 2018, ISBN 978-3-030-02627-1 [contents] - [i10]Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes:
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation. CoRR abs/1806.02562 (2018) - [i9]Alain Jungo, Raphael Meier, Ekin Ermis, Evelyn Herrmann, Mauricio Reyes:
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation. CoRR abs/1806.03106 (2018) - [i8]Adriano Pinto, Sérgio Pereira, Raphael Meier, Victor Alves, Roland Wiest, Carlos A. Silva, Mauricio Reyes:
Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction. CoRR abs/1806.04413 (2018) - [i7]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes:
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network. CoRR abs/1806.05473 (2018) - [i6]Fabian Balsiger, Amaresha Shridhar Konar, Shivaprasad Chikop, Vimal Chandran, Olivier Scheidegger, Sairam Geethanath, Mauricio Reyes:
Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks. CoRR abs/1807.06356 (2018) - [i5]Sérgio Pereira, Raphael Meier, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment. CoRR abs/1809.09468 (2018) - [i4]Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR abs/1811.02629 (2018) - [i3]Yannick Suter, Alain Jungo, Michael Rebsamen, Urspeter Knecht, Evelyn Herrmann, Roland Wiest, Mauricio Reyes:
Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction. CoRR abs/1811.04907 (2018) - 2017
- [c41]Richard McKinley
Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation. BrainLes@MICCAI 2017: 169-177 - [c40]Alain Jungo
Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction. BrainLes@MICCAI 2017: 474-485 - [e3]M. Jorge Cardoso, Tal Arbel, Fei Gao, Bernhard Kainz, Theo van Walsum, Kuangyu Shi, Kanwal K. Bhatia, Roman Peter, Tom Vercauteren, Mauricio Reyes, Adrian V. Dalca, Roland Wiest, Wiro J. Niessen, Bart J. Emmer:
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment - Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10555, Springer 2017, ISBN 978-3-319-67563-3 [contents] - [i2]Raphael Meier, Urspeter Knecht, Alain Jungo, Roland Wiest, Mauricio Reyes:
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs. CoRR abs/1703.00312 (2017) - 2016
- [c39]Ping Lu, Livia Barazzetti, Vimal Chandran, Kate A. Gavaghan, Stefan Weber, Nicolas Gerber, Mauricio Reyes:
Super-Resolution Classification Improves Facial Nerve Segmentation from CBCT Imaging. CURAC 2016: 143-144 - [c38]Kamal Shahim, Mauricio Reyes, Ruben Simon, Philipp Jürgens, Christoph Blecher:
Advanced Design System for Infantile Cranium Shape Model Growth Prediction. MIAR 2016: 104-113 - [c37]Raphael Meier, Urspeter Knecht, Roland Wiest
CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias. BrainLes@MICCAI 2016: 100-107 - [c36]Richard McKinley
Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation. BrainLes@MICCAI 2016: 119-128 - [c35]Carlos Correa Shokiche, Philipp Baumann, Ruslan Hlushchuk
High-Throughput Glomeruli Analysis of μ CT Kidney Images Using Tree Priors and Scalable Sparse Computation. MICCAI (2) 2016: 370-378 - [e2]Alessandro Crimi, Bjoern H. Menze
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - First International Workshop, Brainles 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9556, Springer 2016, ISBN 978-3-319-30857-9 [contents] - [e1]Alessandro Crimi, Bjoern H. Menze
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10154, 2016, ISBN 978-3-319-55523-2 [contents] - 2015
- [j10]Juan J. Cerrolaza, Mauricio Reyes, Ronald M. Summers, Miguel Ángel González Ballester, Marius George Linguraru:
Automatic multi-resolution shape modeling of multi-organ structures. Medical Image Anal. 25(1): 11-21 (2015) - [j9]Bjoern H. Menze
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [c34]Ping Lu
Facial nerve image enhancement from CBCT using supervised learning technique. EMBC 2015: 2964-2967 - [c33]Waldo Valenzuela
Correction tool for Active Shape Model based lumbar muscle segmentation. EMBC 2015: 3033-3036 - [c32]Raphael Meier, Venetia Karamitsou, Simon Habegger, Roland Wiest
Parameter Learning for CRF-Based Tissue Segmentation of Brain Tumors. Brainles@MICCAI 2015: 156-167 - [c31]Richard McKinley
Segmenting the Ischemic Penumbra: A Decision Forest Approach with Automatic Threshold Finding. Brainles@MICCAI 2015: 275-283 - [c30]Vimal Chandran
Prediction of Trabecular Bone Anisotropy from Quantitative Computed Tomography Using Supervised Learning and a Novel Morphometric Feature Descriptor. MICCAI (1) 2015: 621-628 - 2014
- [c29]Stefan Bauer, Pascal P. Gratz, Jan Gralla
Towards automatic MRI volumetry for treatment selection in acute ischemic stroke patients. EMBC 2014: 1521-1524 - [c28]Stefan Bauer, Nicole Porz, Raphael Meier, Alessia Pica, Johannes Slotboom, Roland Wiest
Interactive segmentation of MR images from brain tumor patients. ISBI 2014: 862-865 - [c27]Juan J. Cerrolaza, Arantxa Villanueva
Generalized Multiresolution Hierarchical Shape Models via Automatic Landmark Clusterization. MICCAI (3) 2014: 1-8 - [c26]Sergio Vera, Frederic Pérez, Clara Balust, Ramon Trueba, Jordi Rubió, Raul Calvo, Xavier Mazaira, Anandhan Dhanasingh, Livia Barazzetti, Mauricio Reyes, Mario Ceresa
Patient Specific Simulation for Planning of Cochlear Implantation Surgery. CLIP@MICCAI 2014: 101-108 - [c25]Thomas Gerig, Kamal Shahim, Mauricio Reyes, Thomas Vetter, Marcel Lüthi:
Spatially Varying Registration Using Gaussian Processes. MICCAI (2) 2014: 413-420 - [c24]Raphael Meier, Stefan Bauer, Johannes Slotboom, Roland Wiest
Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation. MICCAI (1) 2014: 714-721 - [c23]Christian Baumberger, Mauricio Reyes, Mihai Constantinescu, Radu Olariu
3D Face Reconstruction from Video Using 3D Morphable Model and Silhouette. SIBGRAPI 2014: 1-8 - 2013
- [j8]Huanxiang Lu, Roland Beisteiner, Lutz-Peter Nolte, Mauricio Reyes:
Hierarchical segmentation-assisted multimodal registration for MR brain images. Comput. Medical Imaging Graph. 37(3): 234-244 (2013) - [j7]Stefan Bauer, Huanxiang Lu, Christian May
Integrated segmentation of brain tumor images for radiotherapy and neurosurgery. Int. J. Imaging Syst. Technol. 23(1): 59-63 (2013) - [c22]Kamal Shahim, Orcun Goksel
Accuracy improvement in Cranio-Maxillofacial soft tissue simulation using a muscle embedded meshing approach. EMBC 2013: 7156-7159 - [c21]Kamal Shahim, Philipp Jürgens
Prediction of Cranio-Maxillofacial Surgical Planning Using an Inverse Soft Tissue Modelling Approach. MICCAI (1) 2013: 18-25 - [c20]Stefan Bauer, Jean Tessier, Oliver Krieter, Lutz-Peter Nolte, Mauricio Reyes:
Integrated Spatio-Temporal Segmentation of Longitudinal Brain Tumor Imaging Studies. MCV 2013: 74-83 - 2012
- [j6]Kate A. Gavaghan
Evaluation of a portable image overlay projector for the visualisation of surgical navigation data: phantom studies. Int. J. Comput. Assist. Radiol. Surg. 7(4): 547-556 (2012) - [j5]Huanxiang Lu, Lutz-Peter Nolte, Mauricio Reyes:
Interest points localization for brain image using landmark-annotated atlas. Int. J. Imaging Syst. Technol. 22(2): 145-152 (2012) - [j4]Rémi Blanc, Christof Seiler
Statistical model based shape prediction from a combination of direct observations and various surrogates: Application to orthopaedic research. Medical Image Anal. 16(6): 1156-1166 (2012) - [j3]Christof Seiler
Capturing the multiscale anatomical shape variability with polyaffine transformation trees. Medical Image Anal. 16(7): 1371-1384 (2012) - [j2]Stefan Bauer, Christian May
Multiscale Modeling for Image Analysis of Brain Tumor Studies. IEEE Trans. Biomed. Eng. 59(1): 25-29 (2012) - [c19]Habib Bousleiman, Christof Seiler
Population-Based Design of Mandibular Plates Based on Bone Quality and Morphology. MICCAI (1) 2012: 66-73 - [c18]Christof Seiler
Simultaneous Multiscale Polyaffine Registration by Incorporating Deformation Statistics. MICCAI (2) 2012: 130-137 - [i1]Stefan Bauer, Lutz-Peter Nolte, Mauricio Reyes:
Skull-stripping for Tumor-bearing Brain Images. CoRR abs/1204.0357 (2012) - 2011
- [c17]Huanxiang Lu, Philippe C. Cattin
Diffusion weighted imaging distortion correction using hybrid multimodal image registration. ISBI 2011: 594-597 - [c16]Stefan Bauer, Lutz-Peter Nolte, Mauricio Reyes:
Segmentation of brain tumor images based on atlas-registration combined with a Markov-Random-Field lesion growth model. ISBI 2011: 2018-2021 - [c15]Stefan Bauer, Lutz-Peter Nolte, Mauricio Reyes:
Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization. MICCAI (3) 2011: 354-361 - [c14]Habib Bousleiman, Lucas E. Ritacco, Lutz-Peter Nolte, Mauricio Reyes:
Minimization of Intra-Operative Shaping of Orthopaedic Fixation Plates: A Population-Based Design. MICCAI (2) 2011: 409-416 - [c13]Christof Seiler
Geometry-Aware Multiscale Image Registration via OBBTree-Based Polyaffine Log-Demons. MICCAI (2) 2011: 631-638 - [c12]Christof Seiler
Femur specific polyaffine model to regularize the log-domain demons registration. Image Processing 2011: 79620G - 2010
- [j1]Nina Kozic, Stefan Weber
Optimisation of orthopaedic implant design using statistical shape space analysis based on level sets. Medical Image Anal. 14(3): 265-275 (2010) - [c11]Huanxiang Lu, Mauricio Reyes, Amira Serijovic, Stefan Weber
Multi-modal diffeomorphic demons registration based on point-wise mutual information. ISBI 2010: 372-375 - [c10]Christof Seiler
Parametric regression of 3D medical images through the exploration of non-parametric regression models. ISBI 2010: 452-455 - [c9]Xiao Dong, Huanxiang Lu, Yasuo Sakurai, Hitoshi Yamagata, Guoyan Zheng
Automated Intervertebral Disc Detection from Low Resolution, Sparse MRI Images for the Planning of Scan Geometries. MLMI 2010: 10-17 - [c8]Hyungmin Kim, Philipp Jürgens
Anatomically-Driven Soft-Tissue Simulation Strategy for Cranio-Maxillofacial Surgery Using Facial Muscle Template Model. MICCAI (1) 2010: 61-68
2000 – 2009
- 2009
- [c7]Mauricio Reyes, Miguel Ángel González Ballester, Zhixi Li, Nina Kozic, See Chin, Ronald M. Summers, Marius George Linguraru:
Anatomical Variability of Organs Via Principal Factor Analysis from the Construction of an Abdominal Probabilistic Atlas. ISBI 2009: 682-685 - [c6]Nina Kozic, Miguel Ángel González Ballester, Philippe Büchler, Nils Reimers, Lutz-Peter Nolte, Marius George Linguraru, Mauricio Reyes:
Population-Specific Evaluation of Implant Bone Fitting Using PCA Shape Space and Level Sets. ISBI 2009: 883-886 - [c5]Rémi Blanc, Mauricio Reyes, Christof Seiler
Conditional Variability of Statistical Shape Models Based on Surrogate Variables. MICCAI (1) 2009: 84-91 - [p1]Christof Seiler
Hierarchical Markov Random Fields Applied to Model Soft Tissue Deformations on Graphics Hardware. Recent Advances in the 3D Physiological Human 2009: 133-148 - 2008
- [c4]Nina Kozic, Miguel Ángel González Ballester, Moritz Tannast
Statistical Shape Space Analysis Based on Level Sets. MIAR 2008: 160-167 - 2007
- [c3]Mauricio Reyes, Marius George Linguraru, Kostas Marias
Statistical Shape Analysis via Principal Factor Analysis. ISBI 2007: 1216-1219 - 2005
- [b1]Mauricio Reyes Aguirre:
Respiratory Motion Compensation in Emission Tomography. (Compensation du mouvement respiratoire en tomographie d'émission). University of Nice Sophia Antipolis, France, 2005 - [c2]Mauricio Reyes, Grégoire Malandain, Pierre Malick Koulibaly, Miguel Ángel González Ballester, Jacques Darcourt:
Respiratory Motion Correction in Emission Tomography Image Reconstruction. MICCAI (2) 2005: 369-376 - [c1]Miguel Ángel González Ballester, Marius George Linguraru, Mauricio Reyes Aguirre, Nicholas Ayache:
On the adequacy of principal factor analysis for the study of shape variability. Image Processing 2005
Coauthor Index
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