Abstract is missing.
- Deep Quality Estimation: Creating Surrogate Models for Human Quality RatingsFlorian Kofler, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Ezequiel de la Rosa, John LaMaster, Hongwei Li 0004, Tom Finck, Suprosanna Shit, Johannes C. Paetzold, Spyridon Bakas, Marie Piraud, Jan Kirschke, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze. 3-13 [doi]
- Unsupervised Anomaly Localization with Structural Feature-AutoencodersFelix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert. 14-24 [doi]
- Transformer Based Models for Unsupervised Anomaly Segmentation in Brain MR ImagesAhmed Ghorbel, Ahmed Aldahdooh, Shadi Albarqouni, Wassim Hamidouche. 25-44 [doi]
- Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation DatasetsSebastian Otálora, Jonathan Rafael-Patino, Antoine Madrona, Elda Fischi-Gomez, Veronica Ravano, Tobias Kober, Søren Christensen, Arsany Hakim, Roland Wiest, Jonas Richiardi, Richard McKinley. 45-56 [doi]
- Temporally Adjustable Longitudinal Fluid-Attenuated Inversion Recovery MRI Estimation / Synthesis for Multiple SclerosisJueqi Wang, Derek Berger, Erin L. Mazerolle, Othman Soufan, Jacob Levman. 57-67 [doi]
- Leveraging 2D Deep Learning ImageNet-trained Models for Native 3D Medical Image AnalysisBhakti Baheti, Sarthak Pati, Bjoern H. Menze, Spyridon Bakas. 68-79 [doi]
- Probabilistic Tissue Mapping for Tumor Segmentation and Infiltration Detection of GliomaSelene De Sutter, Wietse Geens, Matías N. Bossa, Anne-Marie Vanbinst, Johnny Duerinck, Jef Vandemeulebroucke. 80-89 [doi]
- Robustifying Automatic Assessment of Brain Tumor Progression from MRIKrzysztof Kotowski, Bartosz Machura, Jakub Nalepa. 90-101 [doi]
- MidFusNet: Mid-dense Fusion Network for Multi-modal Brain MRI SegmentationWenting Duan, Lei Zhang 0043, Jordan Colman, Giosue Gulli, Xujiong Ye. 102-114 [doi]
- Semi-supervised Intracranial Aneurysm Segmentation with Selected Unlabeled DataShiyu Lu, Hao Wang, Chuyang Ye. 115-123 [doi]
- Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge SolutionRamy A. Zeineldin, Mohamed E. Karar, Oliver Burgert, Franziska Mathis-Ullrich. 127-137 [doi]
- Multi-modal Transformer for Brain Tumor SegmentationJihoon Cho, Jinah Park. 138-148 [doi]
- An Efficient Cascade of U-Net-Like Convolutional Neural Networks Devoted to Brain Tumor SegmentationPhilippe Bouchet, Jean-Baptiste Deloges, Hugo Canton-Bacara, Gaëtan Pusel, Lucas Pinot, Othman Elbaz, Nicolas Boutry. 149-161 [doi]
- Tuning U-Net for Brain Tumor SegmentationMichal Futrega, Michal Marcinkiewicz, Pablo Ribalta. 162-173 [doi]
- Diffraction Block in Extended nn-UNet for Brain Tumor SegmentationQingfan Hou, Zhuofei Wang, Jiao Wang, Jian Jiang, Yanjun Peng. 174-185 [doi]
- Infusing Domain Knowledge into nnU-Nets for Segmenting Brain Tumors in MRIKrzysztof Kotowski, Szymon Adamski, Bartosz Machura, Lukasz Zarudzki, Jakub Nalepa. 186-194 [doi]
- Multi-modal Brain Tumour Segmentation Using Transformer with Optimal Patch SizeRamtin Mojtahedi, Mohammad Hamghalam, Amber L. Simpson. 195-204 [doi]
- Brain Tumor Segmentation Using Neural Ordinary Differential Equations with UNet-Context Encoding NetworkMd. Shibly Sadique, Md Monibor Rahman, Walia Farzana, Ahmed G. Temtam, Khan M. Iftekharuddin. 205-215 [doi]
- An UNet-Based Brain Tumor Segmentation Framework via Optimal Mass Transportation Pre-processingJia-Wei Liao, Tsung-Ming Huang, Tiexiang Li, Wen-Wei Lin, Han Wang, Shing-Tung Yau. 216-228 [doi]
- Robust Image Registration with Absent Correspondences in Pre-operative and Follow-Up Brain MRI Scans of Diffuse Glioma PatientsTony C. W. Mok, Albert C. S. Chung. 231-240 [doi]
- Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images Based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg ChallengeMarek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller. 241-251 [doi]
- Employing ConvexAdam for BraTS-RegChristoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich. 252-261 [doi]
- Iterative Method to Register Longitudinal MRI Acquisitions in Neurosurgical ContextLuca Canalini, Jan Klein 0001, Annika Gerken, Stefan Heldmann, Alessa Hering, Horst K. Hahn. 262-272 [doi]
- Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep SupervisionMingyuan Meng, Lei Bi 0001, David Feng 0003, Jinman Kim. 273-282 [doi]