Invited Papers
Glioma Diagnosis and Classification: Illuminating the Gold Standard
Multiple Sclerosis Lesion Segmentation
A Survey of Supervised CNN-Based Methods
Computational Diagnostics of GBM Tumors in the Era of Radiomics and Radiogenomics
Brain Lesion Image Analysis
Automatic Segmentation of Non-Tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks
Convolutional neural network with asymmetric encoding and decoding structure for brain vessel segmentation on computed tomographic angiography
Volume Preserving Brain Lesion Segmentation
Microstructural modulations in the hippocampus allow to characterizing relapsing-remitting versus primary progressive multiple sclerosis
Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology
Multivariate analysis is sufficient for lesion-behaviour mapping
Label-Efficient Multi-Task Segmentation using Contrastive Learning
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation
MMSSD: Multi-scale and Multi-level Single Shot Detector for Brain Metastases Detection
Unsupervised 3D Brain Anomaly Detection
Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI Tejas Sudharshan Mathai, Yi Wang, Nathan Cross
Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression
Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions
Brain Tumor Segmentation
Brain Tumor Segmentation Using Dual-Path Attention U-net in 3D MRI Images
Multimodal Brain Image Analysis and Survival Prediction
Using Neuromorphic Attention-based Neural Networks
Context Aware 3D UNet for Brain Tumor Segmentation
Modality-Pairing Learning for Brain Tumor Segmentation
Transfer Learning for Brain Tumor Segmentation
Efficient embedding network for 3D brain tumor segmentation
Segmentation of the multimodal brain tumor images used Res-U-Net
Vox2Vox: 3D-GAN for Brain Tumour Segmentation
Automatic Brain Tumor Segmentation with Scale Attention Network
Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction
Overall Survival Prediction for Glioblastoma on Pre-Treatment MRI Using Robust Radiomics and Priors
Glioma segmentation using encoder-decoder network and survival prediction based on cox analysis
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution
Brain tumour segmentation using a triplanar ensemble of U-Nets on MR images
MRI brain tumor segmentation using a 2D-3D U-Net ensemble
Multimodal Brain Tumor Segmentation and Survival Prediction Using a 3D Self-Ensemble ResUNet
MRI Brain Tumor Segmentation and Uncertainty Estimation using 3D-UNet architectures
Utility of Brain Parcellation in Enhancing Brain Tumor Segmentation and Survival Prediction
Uncertainty-driven refinement of tumor core segmentation using 3D-to-2D networks with label uncertainty
Multi-Decoder Networks with Multi-Denoising Inputs for Tumor Segmentation
MultiATTUNet: Brain Tumor Segmentation and Survival Multitasking
A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation
Ensemble of Two Dimensional Networks for Bain Tumor Segmentation
Cascaded Coarse-to-Fine Neural Network for Brain Tumor Segmentation
Low-Rank Convolutional Networks for Brain Tumor Segmentation
Brain tumour segmentation using cascaded 3D densely-connected U-net
Segmentation then Prediction: A Multi-task Solution to Brain Tumor Segmentation and Survival Prediction
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network
Self-training for Brain Tumour Segmentation with Uncertainty Estimation and Biophysics-Guided Survival Prediction.