Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers

Front Matter ....Pages I-XIII
Front Matter ....Pages 1-1
 Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation  (Ipek Oguz, Aaron Carass, Dzung L. Pham, Snehashis Roy, Nagesh Subbana, Peter A. Calabresi et al.)....Pages 3-14
 Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials  (Andrew Doyle, Colm Elliott, Zahra Karimaghaloo, Nagesh Subbanna, Douglas L. Arnold, Tal Arbel)....Pages 15-28
Front Matter ....Pages 29-29
 Automated Segmentation of Multiple Sclerosis Lesions Using Multi-dimensional Gated Recurrent Units  (Simon Andermatt, Simon Pezold, Philippe C. Cattin)....Pages 31-42
 Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation  (Greg M. Fleishman, Alessandra Valcarcel, Dzung L. Pham, Snehashis Roy, Peter A. Calabresi, Paul Yushkevich et al.)....Pages 43-54
 MARCEL (Inter-Modality Affine Registration with CorrELation Ratio): An Application for Brain Shift Correction in Ultrasound-Guided Brain Tumor Resection  (Nima Masoumi, Yiming Xiao, Hassan Rivaz)....Pages 55-63
 Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks  (Lucas Fidon, Wenqi Li, Luis C. Garcia-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sébastien Ourselin et al.)....Pages 64-76
 Overall Survival Time Prediction for High Grade Gliomas Based on Sparse Representation Framework  (Guoqing Wu, Yuanyuan Wang, Jinhua Yu)....Pages 77-87
 Traumatic Brain Lesion Quantification Based on Mean Diffusivity Changes  (Christophe Maggia, Thomas Mistral, Senan Doyle, Florence Forbes, Alexandre Krainik, Damien Galanaud et al.)....Pages 88-99
 Pairwise, Ordinal Outlier Detection of Traumatic Brain Injuries  (Matt Higger, Martha Shenton, Sylvain Bouix)....Pages 100-110
 Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation  (Senan Doyle, Florence Forbes, Assia Jaillard, Olivier Heck, Olivier Detante, Michel Dojat)....Pages 111-122
 Brain Tumor Segmentation Using an Adversarial Network  (Zeju Li, Yuanyuan Wang, Jinhua Yu)....Pages 123-132
 Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma  (Saima Rathore, Spyridon Bakas, Sarthak Pati, Hamed Akbari, Ratheesh Kalarot, Patmaa Sridharan et al.)....Pages 133-145
Front Matter ....Pages 147-147
 Deep Learning Based Multimodal Brain Tumor Diagnosis  (Yuexiang Li, Linlin Shen)....Pages 149-158
 Multimodal Brain Tumor Segmentation Using Ensemble of Forest Method  (Ashish Phophalia, Pradipta Maji)....Pages 159-168
 Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation  (Richard McKinley, Alain Jungo, Roland Wiest, Mauricio Reyes)....Pages 169-177
 Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks  (Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren)....Pages 178-190
 3D Brain Tumor Segmentation Through Integrating Multiple 2D FCNNs  (Xiaomei Zhao, Yihong Wu, Guidong Song, Zhenye Li, Yazhuo Zhang, Yong Fan)....Pages 191-203
 MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional Networks  (Mohammadreza Soltaninejad, Lei Zhang, Tryphon Lambrou, Guang Yang, Nigel Allinson, Xujiong Ye)....Pages 204-215
 Automatic Segmentation and Overall Survival Prediction in Gliomas Using Fully Convolutional Neural Network and Texture Analysis  (Varghese Alex, Mohammed Safwan, Ganapathy Krishnamurthi)....Pages 216-225
 Multimodal Brain Tumor Segmentation Using 3D Convolutional Networks  (R. G. Rodríguez Colmeiro, C. A. Verrastro, T. Grosges)....Pages 226-240
 A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor  (Mina Rezaei, Konstantin Harmuth, Willi Gierke, Thomas Kellermeier, Martin Fischer, Haojin Yang et al.)....Pages 241-252
 Dilated Convolutions for Brain Tumor Segmentation in MRI Scans  (Marc Moreno Lopez, Jonathan Ventura)....Pages 253-262
 Residual Encoder and Convolutional Decoder Neural Network for Glioma Segmentation  (Kamlesh Pawar, Zhaolin Chen, N. Jon Shah, Gary Egan)....Pages 263-273
 TPCNN: Two-Phase Patch-Based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival Prediction  (Fan Zhou, Tengfei Li, Heng Li, Hongtu Zhu)....Pages 274-286
 Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge  (Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein)....Pages 287-297
 Multi-modal PixelNet for Brain Tumor Segmentation  (Mobarakol Islam, Hongliang Ren)....Pages 298-308
 Brain Tumor Segmentation Using Dense Fully Convolutional Neural Network  (Mazhar Shaikh, Ganesh Anand, Gagan Acharya, Abhijit Amrutkar, Varghese Alex, Ganapathy Krishnamurthi)....Pages 309-319
 Brain Tumor Segmentation in MRI Scans Using Deeply-Supervised Neural Networks  (Reza Pourreza, Ying Zhuge, Holly Ning, Robert Miller)....Pages 320-331
 Brain Tumor Segmentation and Parsing on MRIs Using Multiresolution Neural Networks  (Laura Silvana Castillo, Laura Alexandra Daza, Luis Carlos Rivera, Pablo Arbeláez)....Pages 332-343
 Brain Tumor Segmentation Using Deep Fully Convolutional Neural Networks  (Geena Kim)....Pages 344-357
 Glioblastoma and Survival Prediction  (Zeina A. Shboul, Lasitha Vidyaratne, Mahbubul Alam, Khan M. Iftekharuddin)....Pages 358-368
 MRI Augmentation via Elastic Registration for Brain Lesions Segmentation  (Egor Krivov, Maxim Pisov, Mikhail Belyaev)....Pages 369-380
 Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation  (Adrià Casamitjana, Marcel Catà, Irina Sánchez, Marc Combalia, Verónica Vilaplana)....Pages 381-391
 Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss   (Andrew Jesson, Tal Arbel)....Pages 392-402
 Brain Tumor Segmentation Using a Multi-path CNN Based Method  (Sara Sedlar)....Pages 403-422
 3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences  (Yan Hu, Yong Xia)....Pages 423-434
 Automated Brain Tumor Segmentation on Magnetic Resonance Images and Patient’s Overall Survival Prediction Using Support Vector Machines  (Alexander F. I. Osman)....Pages 435-449
 Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation  (K. Kamnitsas, W. Bai, E. Ferrante, S. McDonagh, M. Sinclair, N. Pawlowski et al.)....Pages 450-462
 Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction  (H. N. Bharath, S. Colleman, D. M. Sima, S. Van Huffel)....Pages 463-473
 Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction  (Alain Jungo, Richard McKinley, Raphael Meier, Urspeter Knecht, Luis Vera, Julián Pérez-Beteta et al.)....Pages 474-485
Front Matter ....Pages 487-487
 WMH Segmentation Challenge: A Texture-Based Classification Approach  (Mariana Bento, Roberto de Souza, Roberto Lotufo, Richard Frayne, Letícia Rittner)....Pages 489-500
 White Matter Hyperintensities Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning  (Yongchao Xu, Thierry Géraud, Élodie Puybareau, Isabelle Bloch, Joseph Chazalon)....Pages 501-514
Back Matter ....Pages 515-517