Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers

Front Matter....Pages I-XI
Front Matter....Pages 1-1
Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting....Pages 3-15
Towards a Second Brain Images of Tumours for Evaluation (BITE2) Database....Pages 16-22
Topological Measures of Connectomics for Low Grades Glioma....Pages 23-31
Multi-modal Registration Improves Group Discrimination in Pediatric Traumatic Brain Injury....Pages 32-42
An Online Platform for the Automatic Reporting of Multi-parametric Tissue Signatures: A Case Study in Glioblastoma....Pages 43-51
A Fast Approach to Automatic Detection of Brain Lesions....Pages 52-61
Front Matter....Pages 63-63
Improving Boundary Classification for Brain Tumor Segmentation and Longitudinal Disease Progression....Pages 65-74
Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields....Pages 75-87
Brain Tumor Segmentation with Optimized Random Forest....Pages 88-99
CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias....Pages 100-107
Fully Convolutional Deep Residual Neural Networks for Brain Tumor Segmentation....Pages 108-118
Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation....Pages 119-128
Brain Tumor Segmantation Using Random Forest Trained on Iteratively Selected Patients....Pages 129-137
DeepMedic for Brain Tumor Segmentation....Pages 138-149
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures....Pages 150-161
Anatomy-Guided Brain Tumor Segmentation and Classification....Pages 162-170
Lifted Auto-Context Forests for Brain Tumour Segmentation....Pages 171-183
Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework....Pages 184-194
Interactive Semi-automated Method Using Non-negative Matrix Factorization and Level Set Segmentation for the BRATS Challenge....Pages 195-205
Brain Tumor Segmentation by Variability Characterization of Tumor Boundaries....Pages 206-216
Front Matter....Pages 217-217
Predicting Stroke Lesion and Clinical Outcome with Random Forests....Pages 219-230
Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke....Pages 231-243
Prediction of Ischemic Stroke Lesion and Clinical Outcome in Multi-modal MRI Images Using Random Forests....Pages 244-255
Front Matter....Pages 257-257
Combining Deep Learning Networks with Permutation Tests to Predict Traumatic Brain Injury Outcome....Pages 259-270
Mild Traumatic Brain Injury Outcome Prediction Based on Both Graph and K-nn Methods....Pages 271-281
Unsupervised 3-D Feature Learning for Mild Traumatic Brain Injury....Pages 282-290
Back Matter....Pages 291-292