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ORCID8th Brainles@MICCAI 2022: Singapore
- Spyridon Bakas
, Alessandro Crimi, Ujjwal Baid, Sylwia Malec, Monika Pytlarz, Bhakti Baheti, Maximilian Zenk, Reuben Dorent:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13769, Springer 2023, ISBN 978-3-031-33841-0
BrainLes
- Florian Kofler, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Ezequiel de la Rosa, John LaMaster, Hongwei Li, Tom Finck, Suprosanna Shit, Johannes C. Paetzold, Spyridon Bakas, Marie Piraud, Jan Kirschke, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze:
Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings. 3-13 - Felix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert:
Unsupervised Anomaly Localization with Structural Feature-Autoencoders. 14-24 - Ahmed Ghorbel, Ahmed Aldahdooh, Shadi Albarqouni, Wassim Hamidouche:
Transformer Based Models for Unsupervised Anomaly Segmentation in Brain MR Images. 25-44 - Sebastian Otálora, Jonathan Rafael-Patino, Antoine Madrona, Elda Fischi Gomez, Veronica Ravano, Tobias Kober, Søren Christensen, Arsany Hakim, Roland Wiest, Jonas Richiardi, Richard McKinley:
Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation Datasets. 45-56 - Jueqi Wang, Derek Berger, Erin L. Mazerolle, Othman Soufan, Jacob Levman:
Temporally Adjustable Longitudinal Fluid-Attenuated Inversion Recovery MRI Estimation / Synthesis for Multiple Sclerosis. 57-67 - Bhakti Baheti, Sarthak Pati, Bjoern H. Menze, Spyridon Bakas:
Leveraging 2D Deep Learning ImageNet-trained Models for Native 3D Medical Image Analysis. 68-79 - Selene De Sutter, Wietse Geens, Matías N. Bossa, Anne-Marie Vanbinst, Johnny Duerinck, Jef Vandemeulebroucke:
Probabilistic Tissue Mapping for Tumor Segmentation and Infiltration Detection of Glioma. 80-89 - Krzysztof Kotowski, Bartosz Machura, Jakub Nalepa:
Robustifying Automatic Assessment of Brain Tumor Progression from MRI. 90-101 - Wenting Duan, Lei Zhang, Jordan Colman, Giosue Gulli, Xujiong Ye:
MidFusNet: Mid-dense Fusion Network for Multi-modal Brain MRI Segmentation. 102-114 - Shiyu Lu, Hao Wang, Chuyang Ye:
Semi-supervised Intracranial Aneurysm Segmentation with Selected Unlabeled Data. 115-123
BraTS
- Ramy A. Zeineldin, Mohamed E. Karar, Oliver Burgert, Franziska Mathis-Ullrich:
Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution. 127-137 - Jihoon Cho, Jinah Park:
Multi-modal Transformer for Brain Tumor Segmentation. 138-148 - Philippe Bouchet, Jean-Baptiste Deloges, Hugo Canton-Bacara, Gaëtan Pusel, Lucas Pinot, Othman Elbaz, Nicolas Boutry:
An Efficient Cascade of U-Net-Like Convolutional Neural Networks Devoted to Brain Tumor Segmentation. 149-161 - Michal Futrega, Michal Marcinkiewicz, Pablo Ribalta:
Tuning U-Net for Brain Tumor Segmentation. 162-173 - Qingfan Hou, Zhuofei Wang, Jiao Wang, Jian Jiang, Yanjun Peng:
Diffraction Block in Extended nn-UNet for Brain Tumor Segmentation. 174-185 - Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Lukasz Zarudzki, Jakub Nalepa:
Infusing Domain Knowledge into nnU-Nets for Segmenting Brain Tumors in MRI. 186-194 - Ramtin Mojtahedi, Mohammad Hamghalam, Amber L. Simpson:
Multi-modal Brain Tumour Segmentation Using Transformer with Optimal Patch Size. 195-204 - Md. Shibly Sadique, Md Monibor Rahman, Walia Farzana, Ahmed G. Temtam, Khan M. Iftekharuddin:
Brain Tumor Segmentation Using Neural Ordinary Differential Equations with UNet-Context Encoding Network. 205-215 - Jia-Wei Liao, Tsung-Ming Huang, Tiexiang Li, Wen-Wei Lin, Han Wang, Shing-Tung Yau:
An UNet-Based Brain Tumor Segmentation Framework via Optimal Mass Transportation Pre-processing. 216-228
BraTS-Reg
- Tony C. W. Mok, Albert C. S. Chung:
Robust Image Registration with Absent Correspondences in Pre-operative and Follow-Up Brain MRI Scans of Diffuse Glioma Patients. 231-240 - Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller:
Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images Based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge. 241-251 - Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Employing ConvexAdam for BraTS-Reg. 252-261 - Luca Canalini, Jan Klein, Annika Gerken, Stefan Heldmann, Alessa Hering, Horst K. Hahn:
Iterative Method to Register Longitudinal MRI Acquisitions in Neurosurgical Context. 262-272 - Mingyuan Meng, Lei Bi, David Feng, Jinman Kim:
Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision. 273-282
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