Invited Talks
Dice overlap measures for objects of unknown number: Application to lesion segmentation
Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials
Brain Lesion Image Analysis
Automated Segmentation of Multiple Sclerosis Lesions using Multi-Dimensional Gated Recurrent Units
Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation
MARCEL (inter-Modality Ane Registration with CorELation ratio): An Application for Brain Shift Correction in Ultrasound-Guided Brain Tumor Resection
Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks
Overall Survival Time Prediction for High Grade Gliomas based on Sparse Representation Framework
Traumatic Brain Lesion Quantication based on Mean Diusivity Changes
Pairwise, Ordinal Outlier Detection of Traumatic Brain Injuries
Sub-Acute & Chronic Ischemic Stroke Lesion MRI Segmentation
Brain Tumor Segmentation Using an Adversarial Network
Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma
Brain Tumor Image Segmentation
Deep Learning based Multimodal Brain Tumor Diagnosis
Multimodal Brain Tumor Segmentation using Ensemble of Forest Method
Pooling-free fully convolutional networks with dense skip connections for semantic segmentation, with application to brain tumor segmentation
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks
3D Brain Tumor Segmentation through Integrating Multiple 2D FCNNs
MRI Brain Tumor Segmentation and Patient Survival Prediction using Random Forests and Fully Convolutional Networks
Automatic Segmentation and Overall Survival Prediction in Gliomas using Fully Convolutional Neural Network and Texture Analysis
Multimodal Brain Tumor Segmentation Using 3D Convolutional Networks
A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
Dilated Convolutions for Brain Tumor Segmentation in MRI Scans
Residual Encoder and Convolutional Decoder Neural Network for Glioma Segmentation
TPCNN: Two-phase Patch-based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival Prediction
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge
Multi-modal PixelNet for Brain Tumor Segmentation
Brain Tumor Segmentation using Dense Fully Convolutional Neural Network
Brain Tumor Segmentation in MRI Scans using Deeply-Supervised Neural Networks
Brain Tumor Segmentation and Parsing on MRIs using Multiresolution Neural Networks
Brain Tumor Segmentation using Deep Fully Convolutional Neural Networks
Glioblastoma and Survival Prediction
MRI Augmentation via Elastic Registration for Brain Lesions Segmentation
Cascaded V-Net using ROI masks for brain tumor segmentation
Brain Tumor Segmentation using a 3D FCN with Multi-Scale Loss
Brain tumor segmentation using a multi-path CNN based method
3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences
Automated Brain Tumor Segmentation on Magnetic Resonance Images (MRIs) and Patient Overall Survival Prediction using Support Vector Machines
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
Tumor segmentation from multimodal MRI using random forest with superpixel and tensor based feature extraction
Towards Uncertainty-assisted Brain Tumor Segmentation and Survival Prediction
Ischemic Stroke Lesion Image Segmentation
WMH Segmentation Challenge: a Texture-based Classication Approach
White Matter Hyperintensities Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learning.