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6th Brainles@MICCAI 2020: Lima, Peru - Part I
- 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
Invited Papers
- MacLean P. Nasrallah
Glioma Diagnosis and Classification: Illuminating the Gold Standard. 3-10 - Huahong Zhang, Ipek Oguz:
Multiple Sclerosis Lesion Segmentation - A Survey of Supervised CNN-Based Methods. 11-29 - Anahita Fathi Kazerooni, Christos Davatzikos:
Computational Diagnostics of GBM Tumors in the Era of Radiomics and Radiogenomics. 30-38
Brain Lesion Image Analysis
- 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. 41-50 - Guoqing Wu, Li Zhang, Xi Chen, Jixian Lin, Yuanyuan Wang, Jinhua Yu:
Convolutional Neural Network with Asymmetric Encoding and Decoding Structure for Brain Vessel Segmentation on Computed Tomographic Angiography. 51-59 - Yanlin Liu, Xiangzhu Zeng, Chuyang Ye:
Volume Preserving Brain Lesion Segmentation. 60-69 - Lorenza Brusini, Ilaria Boscolo Galazzo, Muge Akinci, Federica Cruciani
Microstructural Modulations in the Hippocampus Allow to Characterizing Relapsing-Remitting Versus Primary Progressive Multiple Sclerosis. 70-79 - 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. 80-91 - Lucas Martin, Julie Josse, Bertrand Thirion:
Multivariate Analysis is Sufficient for Lesion-Behaviour Mapping. 92-100 - Junichiro Iwasawa, Yuichiro Hirano, Yohei Sugawara:
Label-Efficient Multi-task Segmentation Using Contrastive Learning. 101-110 - Stefan Denner
Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation. 111-121 - Hui Yu, Wenjun Xia, Yan Liu, Xuejun Gu, Jiliu Zhou, Yi Zhang
MMSSD: Multi-scale and Multi-level Single Shot Detector for Brain Metastases Detection. 122-132 - Jaime Simarro Viana
Unsupervised 3D Brain Anomaly Detection. 133-142 - Tejas Sudharshan Mathai, Yi Wang, Nathan M. Cross:
Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI. 143-156 - Sarthak Pati
Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression. 157-167 - Julian Klug
Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions. 168-180
Brain Tumor Segmentation
- Wen Jun, Haoxiang Xu, Zhang Wang:
Brain Tumor Segmentation Using Dual-Path Attention U-Net in 3D MRI Images. 183-193 - Il Song Han:
Multimodal Brain Image Analysis and Survival Prediction Using Neuromorphic Attention-Based Neural Networks. 194-206 - Parvez Ahmad
Context Aware 3D UNet for Brain Tumor Segmentation. 207-218 - Chenyu Liu, Wangbin Ding, Lei Li
Brain Tumor Segmentation Network Using Attention-Based Fusion and Spatial Relationship Constraint. 219-229 - Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Modality-Pairing Learning for Brain Tumor Segmentation. 230-240 - Jonas Wacker, Marcelo Ladeira, José Eduardo Vaz Nascimento:
Transfer Learning for Brain Tumor Segmentation. 241-251 - Hicham Messaoudi
Efficient Embedding Network for 3D Brain Tumor Segmentation. 252-262 - Jindong Sun
Segmentation of the Multimodal Brain Tumor Images Used Res-U-Net. 263-273 - Marco Domenico Cirillo, David Abramian
Vox2Vox: 3D-GAN for Brain Tumour Segmentation. 274-284 - Yading Yuan:
Automatic Brain Tumor Segmentation with Scale Attention Network. 285-294 - Carlo Russo
Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction. 295-306 - Yannick Suter, Urspeter Knecht, Roland Wiest
Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors. 307-317 - Enshuai Pang, Wei Shi, Xuan Li, Qiang Wu:
Glioma Segmentation Using Encoder-Decoder Network and Survival Prediction Based on Cox Analysis. 318-326 - 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. 327-339 - Vaanathi Sundaresan
Brain Tumour Segmentation Using a Triplanar Ensemble of U-Nets on MR Images. 340-353 - Jaime Marti Asenjo
MRI Brain Tumor Segmentation Using a 2D-3D U-Net Ensemble. 354-366 - Linmin Pei
Multimodal Brain Tumor Segmentation and Survival Prediction Using a 3D Self-ensemble ResUNet. 367-375 - Laura Mora Ballestar, Verónica Vilaplana
MRI Brain Tumor Segmentation and Uncertainty Estimation Using 3D-UNet Architectures. 376-390 - Yue Zhang, Jiewei Wu, Weikai Huang, Yifan Chen, Ed X. Wu
Utility of Brain Parcellation in Enhancing Brain Tumor Segmentation and Survival Prediction. 391-400 - Richard McKinley
Uncertainty-Driven Refinement of Tumor-Core Segmentation Using 3D-to-2D Networks with Label Uncertainty. 401-411 - Minh H. Vu, Tufve Nyholm, Tommy Löfstedt:
Multi-decoder Networks with Multi-denoising Inputs for Tumor Segmentation. 412-423 - Diedre Carmo
MultiATTUNet: Brain Tumor Segmentation and Survival Multitasking. 424-434 - Chenggang Lyu, Hai Shu
A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation. 435-447 - Gowtham Krishnan Murugesan
Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. 448-457 - Shuojue Yang, Dong Guo, Lu Wang, Guotai Wang
Cascaded Coarse-to-Fine Neural Network for Brain Tumor Segmentation. 458-469 - Pooya Ashtari
Low-Rank Convolutional Networks for Brain Tumor Segmentation. 470-480 - Mina Ghaffari, Arcot Sowmya, Ruth Oliver
Automated Brain Tumour Segmentation Using Cascaded 3D Densely-Connected U-Net. 481-491 - Guojing Zhao, Bowen Jiang, Jianpeng Zhang, Yong Xia:
Segmentation then Prediction: A Multi-task Solution to Brain Tumor Segmentation and Survival Prediction. 492-502 - Hieu T. Nguyen
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network. 503-513 - Chengliang Dai
Self-training for Brain Tumour Segmentation with Uncertainty Estimation and Biophysics-Guided Survival Prediction. 514-523
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