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Publication search results
found 47 matches
- 2021
- Alessandro Crimi, Spyridon Bakas:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12658, Springer 2021, ISBN 978-3-030-72083-4 [contents] - 2020
- Parvez Ahmad, Saqib Qamar, Linlin Shen, Adnan Saeed:
Context Aware 3D UNet for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 207-218 - Jaime Marti Asenjo, Alfonso Martinez-Larraz Solís:
MRI Brain Tumor Segmentation Using a 2D-3D U-Net Ensemble. BrainLes@MICCAI (1) 2020: 354-366 - Pooya Ashtari, Frederik Maes, Sabine Van Huffel:
Low-Rank Convolutional Networks for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 470-480 - Laura Mora Ballestar, Verónica Vilaplana:
MRI Brain Tumor Segmentation and Uncertainty Estimation Using 3D-UNet Architectures. BrainLes@MICCAI (1) 2020: 376-390 - Lorenza Brusini, Ilaria Boscolo Galazzo, Muge Akinci, Federica Cruciani, Marco Pitteri, Stefano Ziccardi, Albulena Bajrami, Marco Castellaro, Ahmed M. A. Salih, Francesca B. Pizzini, Jorge Jovicich, Massimiliano Calabrese, Gloria Menegaz:
Microstructural Modulations in the Hippocampus Allow to Characterizing Relapsing-Remitting Versus Primary Progressive Multiple Sclerosis. BrainLes@MICCAI (1) 2020: 70-79 - Diedre Carmo, Letícia Rittner, Roberto de Alencar Lotufo:
MultiATTUNet: Brain Tumor Segmentation and Survival Multitasking. BrainLes@MICCAI (1) 2020: 424-434 - Marco Domenico Cirillo, David Abramian, Anders Eklund:
Vox2Vox: 3D-GAN for Brain Tumour Segmentation. BrainLes@MICCAI (1) 2020: 274-284 - Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Self-training for Brain Tumour Segmentation with Uncertainty Estimation and Biophysics-Guided Survival Prediction. BrainLes@MICCAI (1) 2020: 514-523 - Stefan Denner, Ashkan Khakzar, Moiz Sajid, Mahdi Saleh, Ziga Spiclin, Seong-Tae Kim, Nassir Navab:
Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation. BrainLes@MICCAI (1) 2020: 111-121 - Mina Ghaffari, Arcot Sowmya, Ruth Oliver:
Automated Brain Tumour Segmentation Using Cascaded 3D Densely-Connected U-Net. BrainLes@MICCAI (1) 2020: 481-491 - Il Song Han:
Multimodal Brain Image Analysis and Survival Prediction Using Neuromorphic Attention-Based Neural Networks. BrainLes@MICCAI (1) 2020: 194-206 - Théophraste Henry, Alexandre Carré, Marvin Lerousseau, Théo Estienne, Charlotte Robert, Nikos Paragios, Eric Deutsch:
Brain Tumor Segmentation with Self-ensembled, Deeply-Supervised 3D U-Net Neural Networks: A BraTS 2020 Challenge Solution. BrainLes@MICCAI (1) 2020: 327-339 - Junichiro Iwasawa, Yuichiro Hirano, Yohei Sugawara:
Label-Efficient Multi-task Segmentation Using Contrastive Learning. BrainLes@MICCAI (1) 2020: 101-110 - Wen Jun, Haoxiang Xu, Zhang Wang:
Brain Tumor Segmentation Using Dual-Path Attention U-Net in 3D MRI Images. BrainLes@MICCAI (1) 2020: 183-193 - Anahita Fathi Kazerooni, Christos Davatzikos:
Computational Diagnostics of GBM Tumors in the Era of Radiomics and Radiogenomics. BrainLes@MICCAI (1) 2020: 30-38 - Julian Klug, Guillaume Leclerc, Elisabeth Dirren, Maria Giulia Preti, Dimitri Van De Ville, Emmanuel Carrera:
Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions. BrainLes@MICCAI (1) 2020: 168-180 - Chenyu Liu, Wangbin Ding, Lei Li, Zhen Zhang, Chenhao Pei, Liqin Huang, Xiahai Zhuang:
Brain Tumor Segmentation Network Using Attention-Based Fusion and Spatial Relationship Constraint. BrainLes@MICCAI (1) 2020: 219-229 - Zhongqiang Liu, Dongdong Gu, Yu Zhang, Xiaohuan Cao, Zhong Xue:
Automatic Segmentation of Non-tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks. BrainLes@MICCAI (1) 2020: 41-50 - Xiaofeng Liu, Fangxu Xing, Chao Yang, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology. BrainLes@MICCAI (1) 2020: 80-91 - Yanlin Liu, Xiangzhu Zeng, Chuyang Ye:
Volume Preserving Brain Lesion Segmentation. BrainLes@MICCAI (1) 2020: 60-69 - Chenggang Lyu, Hai Shu:
A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 435-447 - Lucas Martin, Julie Josse, Bertrand Thirion:
Multivariate Analysis is Sufficient for Lesion-Behaviour Mapping. BrainLes@MICCAI (1) 2020: 92-100 - Tejas Sudharshan Mathai, Yi Wang, Nathan M. Cross:
Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI. BrainLes@MICCAI (1) 2020: 143-156 - Richard McKinley, Michael Rebsamen, Katrin Daetwyler, Raphael Meier, Piotr Radojewski, Roland Wiest:
Uncertainty-Driven Refinement of Tumor-Core Segmentation Using 3D-to-2D Networks with Label Uncertainty. BrainLes@MICCAI (1) 2020: 401-411 - Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui, Ahcene Zetout, Mohand Saïd Allili, Souhil Tliba, Douraied Ben Salem, Pierre-Henri Conze:
Efficient Embedding Network for 3D Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 252-262 - Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian:
Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 448-457 - MacLean P. Nasrallah:
Glioma Diagnosis and Classification: Illuminating the Gold Standard. BrainLes@MICCAI (1) 2020: 3-10 - Hieu T. Nguyen, Tung T. Le, Thang V. Nguyen, Nhan T. Nguyen:
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network. BrainLes@MICCAI (1) 2020: 503-513 - Enshuai Pang, Wei Shi, Xuan Li, Qiang Wu:
Glioma Segmentation Using Encoder-Decoder Network and Survival Prediction Based on Cox Analysis. BrainLes@MICCAI (1) 2020: 318-326
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