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Mareike Thies
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2020 – today
- 2024
- [j5]Maximilian Rohleder, Mareike Thies, Sophie Riedl, Benno Bullert, Jula Gierse, Maxim Privalov, Eric Mandelka, Sven Yves Vetter, Andreas K. Maier, Björn W. Kreher:
An interactive task-based method for the avoidance of metal artifacts in CBCT. Int. J. Comput. Assist. Radiol. Surg. 19(7): 1399-1407 (2024) - [j4]Noah Maul, Annette Birkhold, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Philipp Berg, Markus Kowarschik, Andreas K. Maier:
Simulation-informed learning for time-resolved angiographic contrast agent concentration reconstruction. Comput. Biol. Medicine 182: 109178 (2024) - [j3]Haijun Yu, Song Ni, Mareike Thies, Fabian Wagner, Yixing Huang, Fengling Liu, Andreas K. Maier:
Multiple Source Translation Micro-CT Improves Both Field-of-View and Spatial Resolution. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [c23]Laura Pfaff, Fabian Wagner, Julian Hossbach, Elisabeth Preuhs, Mareike Thies, Felix Denzinger, Dominik Nickel, Tobias Würfl, Andreas K. Maier:
Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets. Bildverarbeitung für die Medizin 2024: 26 - [c22]Fabian Wagner, Mareike Thies, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Daniela Weidner, Noah Maul, Maximilian Rohleder, Mingxuan Gu, Jonas Utz, Felix Denzinger, Andreas K. Maier:
Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models. Bildverarbeitung für die Medizin 2024: 159 - [c21]Mareike Thies, Fabian Wagner, Noah Maul, Lukas Folle, Manuela Meier, Maximilian Rohleder, Linda-Sophie Schneider, Laura Pfaff, Mingxuan Gu, Jonas Utz, Felix Denzinger, Michael Manhart, Andreas K. Maier:
Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction. Bildverarbeitung für die Medizin 2024: 204 - [c20]Mareike Thies, Fabian Wagner, Mingxuan Gu, Siyuan Mei, Yixing Huang, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Georg Schett, Silke H. Christiansen, Andreas K. Maier:
Exploring Epipolar Consistency Conditions. Bildverarbeitung für die Medizin 2024: 211-216 - [c19]Maximilian Rohleder, Charlotte Pradel, Fabian Wagner, Mareike Thies, Noah Maul, Felix Denzinger, Andreas K. Maier, Björn W. Kreher:
Abstract: Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. Bildverarbeitung für die Medizin 2024: 217 - [c18]Lena Augustin, Fabian Wagner, Mareike Thies, Andreas K. Maier:
Neural Network-based Sinogram Upsampling in Real-measured CT Reconstruction. Bildverarbeitung für die Medizin 2024: 310-315 - [c17]Noah Maul, Katharina Zinn, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Laura Pfaff, Markus Kowarschik, Annette Birkhold, Andreas K. Maier:
Abstract: Transient Hemodynamics Prediction using an Efficient Octree-based Deep Learning Model. Bildverarbeitung für die Medizin 2024: 362 - [c16]Mareike Thies, Noah Maul, Siyuan Mei, Laura Pfaff, Nastassia Vysotskaya, Mingxuan Gu, Jonas Utz, Dennis Possart, Lukas Folle, Fabian Wagner, Andreas K. Maier:
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images. MICCAI (7) 2024: 253-263 - [c15]Laura Pfaff, Fabian Wagner, Nastassia Vysotskaya, Mareike Thies, Noah Maul, Siyuan Mei, Tobias Würfl, Andreas K. Maier:
No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising. MICCAI (10) 2024: 568-578 - [c14]Mingxuan Gu, Mareike Thies, Siyuan Mei, Fabian Wagner, Mingcheng Fan, Yipeng Sun, Zhaoya Pan, Sulaiman Vesal, Ronak Kosti, Dennis Possart, Jonas Utz, Andreas K. Maier:
Unsupervised Domain Adaptation Using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation. MICCAI (9) 2024: 681-691 - [i23]Mareike Thies, Fabian Wagner, Noah Maul, Haijun Yu, Manuela Meier, Linda-Sophie Schneider, Mingxuan Gu, Siyuan Mei, Lukas Folle, Andreas K. Maier:
A gradient-based approach to fast and accurate head motion compensation in cone-beam CT. CoRR abs/2401.09283 (2024) - [i22]Yipeng Sun, Linda-Sophie Schneider, Fuxin Fan, Mareike Thies, Mingxuan Gu, Siyuan Mei, Yuzhong Zhou, Siming Bayer, Andreas K. Maier:
Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series. CoRR abs/2401.16039 (2024) - [i21]Noah Maul, Annette Birkhold, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Philipp Berg, Markus Kowarschik, Andreas K. Maier:
Physics-Informed Learning for Time-Resolved Angiographic Contrast Agent Concentration Reconstruction. CoRR abs/2403.01993 (2024) - [i20]Yipeng Sun, Yixing Huang, Linda-Sophie Schneider, Mareike Thies, Mingxuan Gu, Siyuan Mei, Siming Bayer, Andreas K. Maier:
EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction. CoRR abs/2403.10695 (2024) - [i19]Siyuan Mei, Fuxin Fan, Fabian Wagner, Mareike Thies, Mingxuan Gu, Yipeng Sun, Andreas K. Maier:
Segmentation-Guided Knee Radiograph Generation using Conditional Diffusion Models. CoRR abs/2404.03541 (2024) - [i18]Mareike Thies, Noah Maul, Siyuan Mei, Laura Pfaff, Nastassia Vysotskaya, Mingxuan Gu, Jonas Utz, Dennis Possart, Lukas Folle, Fabian Wagner, Andreas Maier:
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images. CoRR abs/2404.14747 (2024) - [i17]Siyuan Mei, Fuxin Fan, Mareike Thies, Mingxuan Gu, Fabian Wagner, Oliver Aust, Ina Erceg, Zeynab Mirzaei, Georgiana Neag, Yipeng Sun, Yixing Huang, Andreas Maier:
Reference-Free Multi-Modality Volume Registration of X-Ray Microscopy and Light-Sheet Fluorescence Microscopy. CoRR abs/2404.14807 (2024) - [i16]Mareike Thies, Fabian Wagner, Noah Maul, Siyuan Mei, Mingxuan Gu, Laura Pfaff, Nastassia Vysotskaya, Haijun Yu, Andreas Maier:
On the Influence of Smoothness Constraints in Computed Tomography Motion Compensation. CoRR abs/2405.19079 (2024) - 2023
- [c13]Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan B. Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas K. Maier:
Abstract: Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT. Bildverarbeitung für die Medizin 2023: 63 - [c12]Adarsh Raghunath, Fabian Wagner, Mareike Thies, Mingxuan Gu, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Georg Schett, Silke H. Christiansen, Stefan Uderhardt, Andreas K. Maier:
Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model. Bildverarbeitung für die Medizin 2023: 76-81 - [c11]Jonas Utz, Maja Schlereth, Jingna Qiu, Mareike Thies, Fabian Wagner, Oumaima B. Brahim, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger:
McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy. Bildverarbeitung für die Medizin 2023: 82-87 - [c10]Mingxuan Gu, Mareike Thies, Fabian Wagner, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Zhaoya Pan, Jonas Utz, Georg Schett, Silke H. Christiansen, Stefan Uderhardt, Andreas K. Maier:
Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae. Bildverarbeitung für die Medizin 2023: 254-259 - [c9]Jonas Utz, Tobias Weise, Maja Schlereth, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger:
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN. ICCV (Workshops) 2023: 3858-3866 - [c8]Noah Maul, Katharina Zinn, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Laura Pfaff, Markus Kowarschik, Annette Birkhold, Andreas K. Maier:
Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model. IPMI 2023: 183-194 - [c7]Fabian Wagner, Mareike Thies, Laura Pfaff, Noah Maul, Sabrina Pechmann, Mingxuan Gu, Jonas Utz, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Jang Hwan Choi, Andreas Maier:
Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising. IPMI 2023: 771-782 - [c6]Lukas Folle, Pauline Fenzl, Filippo Fagni, Mareike Thies, Vincent Christlein, Christine Meder, Michael Sticherling, David Simon, Georg Schett, Andreas Maier, Arnd Kleyer:
Deepnapsi: Deep Learning for Nail Psoriasis Prediction. ISBI 2023: 1-5 - [c5]Laura Pfaff, Fabian Wagner, Julian Hossbach, Elisabeth Preuhs, Noah Maul, Mareike Thies, Felix Denzinger, Dominik Nickel, Tobias Würfl, Andreas Maier:
Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets. ISBI 2023: 1-5 - [c4]Fabian Wagner, Mareike Thies, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Daniela Weidner, Noah Maul, Maximilian Rohleder, Mingxuan Gu, Jonas Utz, Felix Denzinger, Andreas Maier:
On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting. ISBI 2023: 1-5 - [c3]Maximilian Rohleder, Charlotte Pradel, Fabian Wagner, Mareike Thies, Noah Maul, Felix Denzinger, Andreas K. Maier, Björn W. Kreher:
Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. MICCAI (3) 2023: 57-65 - [i15]Mareike Thies, Fabian Wagner, Noah Maul, Laura Pfaff, Linda-Sophie Schneider, Christopher Syben, Andreas K. Maier:
Optimizing CT Scan Geometries With and Without Gradients. CoRR abs/2302.06251 (2023) - [i14]Fabian Wagner, Mareike Thies, Noah Maul, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Christopher Syben, Andreas K. Maier:
Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography. CoRR abs/2302.06436 (2023) - [i13]Noah Maul, Katharina Zinn, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Laura Pfaff, Markus Kowarschik, Annette Birkhold, Andreas K. Maier:
Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model. CoRR abs/2302.06557 (2023) - [i12]Mareike Thies, Fabian Wagner, Mingxuan Gu, Yixing Huang, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Georg Schett, Silke H. Christiansen, Andreas K. Maier:
Motion Compensation via Epipolar Consistency for In-Vivo X-Ray Microscopy. CoRR abs/2303.00449 (2023) - [i11]Linda-Sophie Schneider, Mareike Thies, Christopher Syben, Richard Schielein, Mathias Unberath, Andreas K. Maier:
Task-based Generation of Optimized Projection Sets using Differentiable Ranking. CoRR abs/2303.11724 (2023) - [i10]Jonas Utz, Tobias Weise, Maja Schlereth, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger:
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN. CoRR abs/2308.01769 (2023) - 2022
- [c2]Fabian Wagner, Mareike Thies, Marek Karolczak, Sabrina Pechmann, Yixing Huang, Mingxuan Gu, Lasse Kling, Daniela Weidner, Oliver Aust, Georg Schett, Silke H. Christiansen, Andreas K. Maier:
Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy. Bildverarbeitung für die Medizin 2022: 107-112 - [c1]Oliver Aust, Mareike Thies, DanielaWeidner, Fabian Wagner, Sabrina Pechmann, Leonid Mill, Darja Andreev, Ippei Miyagawa, Gerhard Krönke, Silke H. Christiansen, Stefan Uderhardt, Andreas K. Maier, Anika Grüneboom:
Tibia Cortical Bone Segmentation in Micro-CT and X-ray Microscopy Data Using a Single Neural Network. Bildverarbeitung für die Medizin 2022: 333-338 - [i9]Mareike Thies, Fabian Wagner, Mingxuan Gu, Lukas Folle, Lina Felsner, Andreas K. Maier:
Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations. CoRR abs/2201.07562 (2022) - [i8]Fabian Wagner, Mareike Thies, Mingxuan Gu, Yixing Huang, Sabrina Pechmann, Mayank Patwari, Stefan B. Ploner, Oliver Aust, Stefan Uderhardt, Georg Schett, Silke H. Christiansen, Andreas K. Maier:
Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography. CoRR abs/2201.10345 (2022) - [i7]Mingxuan Gu, Sulaiman Vesal, Mareike Thies, Zhaoya Pan, Fabian Wagner, Mirabela Rusu, Andreas K. Maier, Ronak Kosti:
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation. CoRR abs/2206.03888 (2022) - [i6]Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan B. Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas K. Maier:
Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT. CoRR abs/2207.07368 (2022) - [i5]Fabian Wagner, Mareike Thies, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Daniela Weidner, Noah Maul, Maximilian Rohleder, Mingxuan Gu, Jonas Utz, Felix Denzinger, Andreas K. Maier:
On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT Setting. CoRR abs/2211.01111 (2022) - [i4]Mareike Thies, Fabian Wagner, Noah Maul, Lukas Folle, Manuela Meier, Maximilian Rohleder, Linda-Sophie Schneider, Laura Pfaff, Mingxuan Gu, Jonas Utz, Felix Denzinger, Michael Manhart, Andreas K. Maier:
Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction. CoRR abs/2212.02177 (2022) - [i3]Fabian Wagner, Mareike Thies, Laura Pfaff, Noah Maul, Sabrina Pechmann, Mingxuan Gu, Jonas Utz, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Jang Hwan Choi, Andreas K. Maier:
Noise2Contrast: Multi-Contrast Fusion Enables Self-Supervised Tomographic Image Denoising. CoRR abs/2212.04832 (2022) - 2021
- [j2]Gabriel Herl, Jochen Hiller, Mareike Thies, Jan-Nico Zaech, Mathias Unberath, Andreas K. Maier:
Task-Specific Trajectory Optimisation for Twin-Robotic X-Ray Tomography. IEEE Trans. Computational Imaging 7: 894-907 (2021) - 2020
- [j1]Mareike Thies, Jan-Nico Zäch, Cong Gao, Russell H. Taylor, Nassir Navab, Andreas Maier, Mathias Unberath:
A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance. Int. J. Comput. Assist. Radiol. Surg. 15(11): 1787-1796 (2020) - [i2]Benjamin D. Killeen, Jie Ying Wu, Kinjal Shah, Anna Zapaishchykova, Philipp Nikutta, Aniruddha Tamhane, Shreya Chakraborty, Jinchi Wei, Tiger Gao, Mareike Thies, Mathias Unberath:
A County-level Dataset for Informing the United States' Response to COVID-19. CoRR abs/2004.00756 (2020) - [i1]Mareike Thies, Jan-Nico Zäch, Cong Gao, Russell H. Taylor, Nassir Navab, Andreas K. Maier, Mathias Unberath:
A Learning-based Method for Online Adjustment of C-arm Cone-Beam CT Source Trajectories for Artifact Avoidance. CoRR abs/2008.06262 (2020)
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