Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels

Sepahvand, Nazanin Mohammadi (et al.)

Pages 57-69

Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks

Mok, Tony C. W. (et al.)

Pages 70-80

Multipath Densely Connected Convolutional Neural Network for Brain Tumor Segmentation

Liu, Cong (et al.)

Pages 81-91

Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation

Sheller, Micah J. (et al.)

Pages 92-104

Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans

Han, Xu (et al.)

Pages 105-114

Segmentation of Post-operative Glioblastoma in MRI by U-Net with Patient-Specific Interactive Refinement

Dhara, Ashis Kumar (et al.)

Pages 115-122

Characterizing Peritumoral Tissue Using DTI-Based Free Water Elimination

Ould Ismail, Abdol Aziz (et al.)

Pages 123-131

Deep 2D Encoder-Decoder Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation in Brain MRI

Aslani, Shahab (et al.)

Pages 132-141

Shallow vs Deep Learning Architectures for White Matter Lesion Segmentation in the Early Stages of Multiple Sclerosis

Rosa, Francesco (et al.)

Pages 142-151

Detection of Midline Brain Abnormalities Using Convolutional Neural Networks

Solanes, Aleix (et al.)

Pages 152-160

Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images

Baur, Christoph (et al.)

Pages 161-169

Brain Tumor Detection and Classification from Multi-sequence MRI: Study Using ConvNets

Banerjee, Subhashis (et al.)

Pages 170-179

Voxel-Wise Comparison with a-contrario Analysis for Automated Segmentation of Multiple Sclerosis Lesions from Multimodal MRI

Galassi, Francesca (et al.)

Pages 180-188

A Graph Based Similarity Measure for Assessing Altered Connectivity in Traumatic Brain Injury

Osmanlıoğlu, Yusuf (et al.)

Pages 189-198

Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation

Li, Hongwei (et al.)

Pages 199-207

Holistic Brain Tumor Screening and Classification Based on DenseNet and Recurrent Neural Network

Zhou, Yufan (et al.)

Pages 208-217

3D Texture Feature Learning for Noninvasive Estimation of Gliomas Pathological Subtype

Wu, Guoqing (et al.)

Pages 218-227

Pathology Segmentation Using Distributional Differences to Images of Healthy Origin

Andermatt, Simon (et al.)

Pages 228-238

Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns

Elsheikh, Samar S. M. (et al.)

Pages 239-250

Stroke Lesion Segmentation with 2D Novel CNN Pipeline and Novel Loss Function

Liu, Pengbo

Pages 253-262

Contra-Lateral Information CNN for Core Lesion Segmentation Based on Native CTP in Acute Stroke

Bertels, Jeroen (et al.)

Pages 263-270

Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities

Dolz, Jose (et al.)

Pages 271-282

Multi-scale Deep Convolutional Neural Network for Stroke Lesions Segmentation on CT Images

Liu, Liangliang (et al.)

Pages 283-291

Ischemic Stroke Lesion Segmentation Using Adversarial Learning

Islam, Mobarakol (et al.)

Pages 292-300

V-Net and U-Net for Ischemic Stroke Lesion Segmentation in a Small Dataset of Perfusion Data

Pinheiro, Gustavo Retuci (et al.)

Pages 301-309

Integrated Extractor, Generator and Segmentor for Ischemic Stroke Lesion Segmentation

Song, Tao (et al.)

Pages 310-318

ISLES Challenge: U-Shaped Convolution Neural Network with Dilated Convolution for 3D Stroke Lesion Segmentation

Tureckova, Alzbeta (et al.)

Pages 319-327

Fully Automatic Segmentation for Ischemic Stroke Using CT Perfusion Maps

Anand, Vikas Kumar (et al.)

Pages 328-334

Combining Good Old Random Forest and DeepLabv3+ for ISLES 2018 CT-Based Stroke Segmentation

Böhme, Lasse (et al.)

Pages 335-342

Volumetric Adversarial Training for Ischemic Stroke Lesion Segmentation

Yang, Hao-Yu

Pages 343-351

Ischemic Stroke Lesion Segmentation in CT Perfusion Scans Using Pyramid Pooling and Focal Loss

Abulnaga, S. Mazdak (et al.)

Pages 352-363

MixNet: Multi-modality Mix Network for Brain Segmentation

Chen, Long (et al.)

Pages 367-377

A Skip-Connected 3D DenseNet Networks with Adversarial Training for Volumetric Segmentation

Bui, Toan Duc (et al.)

Pages 378-384

Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net

Li, Hongwei (et al.)

Pages 385-393

3D Patchwise U-Net with Transition Layers for MR Brain Segmentation

Luna, Miguel (et al.)

Pages 394-403

Dropout-Enabled Ensemble Learning for Multi-scale Biomedical Data

Momeni, Alexandre (et al.)

Pages 407-415

A Combined Radio-Histological Approach for Classification of Low Grade Gliomas

Bagari, Aditya (et al.)

Pages 416-427

Robust Segmentation of Nucleus in Histopathology Images via Mask R-CNN

Xie, Xinpeng (et al.)

Pages 428-436