BrainLes@MICCAI

Keyphrases

Publications

volume 13769, 2023

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 BrainLes@MICCAI 13769 (2023)

2022

Michal Futrega, Michal Marcinkiewicz, Pablo Ribalta
Tuning U-Net for Brain Tumor Segmentation. BrainLes@MICCAI (2022)
Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
Employing ConvexAdam for BraTS-Reg. BrainLes@MICCAI (2022)
Jihoon Cho, Jinah Park
Multi-modal Transformer for Brain Tumor Segmentation. BrainLes@MICCAI (2022)
Ramtin Mojtahedi, Mohammad Hamghalam, Amber L. Simpson
Multi-modal Brain Tumour Segmentation Using Transformer with Optimal Patch Size. BrainLes@MICCAI (2022)
Luca Canalini, Jan Klein, Annika Gerken, Stefan Heldmann, Alessa Hering, Horst K. Hahn
Iterative Method to Register Longitudinal MRI Acquisitions in Neurosurgical Context. BrainLes@MICCAI (2022)
Shiyu Lu, Hao Wang, Chuyang Ye
Semi-supervised Intracranial Aneurysm Segmentation with Selected Unlabeled Data. BrainLes@MICCAI (2022)
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. BrainLes@MICCAI (2022)
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. BrainLes@MICCAI (2022)
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. BrainLes@MICCAI (2022)
Krzysztof Kotowski, Bartosz Machura, Jakub Nalepa
Robustifying Automatic Assessment of Brain Tumor Progression from MRI. BrainLes@MICCAI (2022)
Qingfan Hou, Zhuofei Wang, Jiao Wang, Jian Jiang, Yanjun Peng
Diffraction Block in Extended nn-UNet for Brain Tumor Segmentation. BrainLes@MICCAI (2022)
Jueqi Wang, Derek Berger, Erin L. Mazerolle, Othman Soufan, Jacob Levman
Temporally Adjustable Longitudinal Fluid-Attenuated Inversion Recovery MRI Estimation / Synthesis for Multiple Sclerosis. BrainLes@MICCAI (2022)
Bhakti Baheti, Sarthak Pati, Bjoern H. Menze, Spyridon Bakas
Leveraging 2D Deep Learning ImageNet-trained Models for Native 3D Medical Image Analysis. BrainLes@MICCAI (2022)
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. BrainLes@MICCAI (2022)
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. BrainLes@MICCAI (2022)
Wenting Duan, Lei Zhang, Jordan Colman, Giosue Gulli, Xujiong Ye
MidFusNet: Mid-dense Fusion Network for Multi-modal Brain MRI Segmentation. BrainLes@MICCAI (2022)
Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Lukasz Zarudzki, Jakub Nalepa
Infusing Domain Knowledge into nnU-Nets for Segmenting Brain Tumors in MRI. BrainLes@MICCAI (2022)
Ahmed Ghorbel, Ahmed Aldahdooh, Shadi Albarqouni, Wassim Hamidouche
Transformer Based Models for Unsupervised Anomaly Segmentation in Brain MR Images. BrainLes@MICCAI (2022)
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. BrainLes@MICCAI (2022)
Mingyuan Meng, Lei Bi, David Feng, Jinman Kim
Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision. BrainLes@MICCAI (2022)
Felix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert
Unsupervised Anomaly Localization with Structural Feature-Autoencoders. BrainLes@MICCAI (2022)
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. BrainLes@MICCAI (2022)
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. BrainLes@MICCAI (2022)
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. BrainLes@MICCAI (2022)

volume 10670, 2018

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 BrainLes@MICCAI 10670 (2018)

2017