Table of Contents

• Dice Overlap Measures for Objects of Unknown Number: Application to Lesion SegmentationIpek Oguz, Aaron Carass, Dzung L. Pham, Snehashis Roy, Nagesh Subbana, Peter A. Calabresi, Paul A. Yushkevich, Russell T. Shinohara, Jerry L. Prince. 3-14 [doi]
• Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical TrialsAndrew Doyle, Colm Elliott, Zahra Karimaghaloo, Nagesh K. Subbanna, Douglas L. Arnold, Tal Arbel. 15-28 [doi]
• Automated Segmentation of Multiple Sclerosis Lesions Using Multi-dimensional Gated Recurrent UnitsSimon Andermatt, Simon Pezold, Philippe C. Cattin. 31-42 [doi]
• Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion SegmentationGreg M. Fleishman, Alessandra Valcarcel, Dzung L. Pham, Snehashis Roy, Peter A. Calabresi, Paul Yushkevich, Russell T. Shinohara, Ipek Oguz. 43-54 [doi]
• MARCEL (Inter-Modality Affine Registration with CorrELation Ratio): An Application for Brain Shift Correction in Ultrasound-Guided Brain Tumor ResectionNima Masoumi, Yiming Xiao, Hassan Rivaz. 55-63 [doi]
• Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional NetworksLucas Fidon, Wenqi Li, Luis C. García-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sébastien Ourselin, Tom Vercauteren. 64-76 [doi]
• Overall Survival Time Prediction for High Grade Gliomas Based on Sparse Representation FrameworkGuoqing Wu, Yuanyuan Wang, Jinhua Yu. 77-87 [doi]
• Traumatic Brain Lesion Quantification Based on Mean Diffusivity ChangesChristophe Maggia, Thomas Mistral, Senan Doyle, Florence Forbes, Alexandre Krainik, Damien Galanaud, Emmanuelle Schmitt, Stéphane Kremer, Irène Troprès, Emmanuel Luc Barbier, Jean-François Payen, Michel Dojat. 88-99 [doi]
• Pairwise, Ordinal Outlier Detection of Traumatic Brain InjuriesMatt Higger, Martha Shenton, Sylvain Bouix. 100-110 [doi]
• Sub-acute and Chronic Ischemic Stroke Lesion MRI SegmentationSenan Doyle, Florence Forbes, Assia Jaillard, Olivier Heck, Olivier Detante, Michel Dojat. 111-122 [doi]
• Brain Tumor Segmentation Using an Adversarial NetworkZeju Li, Yuanyuan Wang, Jinhua Yu. 123-132 [doi]
• Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of GlioblastomaSaima Rathore, Spyridon Bakas, Sarthak Pati, Hamed Akbari, Ratheesh Kalarot, Patmaa Sridharan, Martin Rozycki, Mark Bergman, Birkan Tunç, Ragini Verma, Michel Bilello, Christos Davatzikos. 133-145 [doi]
• Deep Learning Based Multimodal Brain Tumor DiagnosisYuexiang Li, LinLin Shen. 149-158 [doi]
• Multimodal Brain Tumor Segmentation Using Ensemble of Forest MethodAshish Phophalia, Pradipta Maji. 159-168 [doi]
• Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor SegmentationRichard McKinley, Alain Jungo, Roland Wiest, Mauricio Reyes. 169-177 [doi]
• Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural NetworksGuotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren. 178-190 [doi]
• 3D Brain Tumor Segmentation Through Integrating Multiple 2D FCNNsXiaomei Zhao, Yihong Wu, Guidong Song, Zhenye Li, Yazhuo Zhang, Yong Fan. 191-203 [doi]
• MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional NetworksMohammadreza Soltaninejad, Lei Zhang, Tryphon Lambrou, Guang Yang, Nigel M. Allinson, Xujiong Ye. 204-215 [doi]
• Automatic Segmentation and Overall Survival Prediction in Gliomas Using Fully Convolutional Neural Network and Texture AnalysisAlex Varghese, Mohammed Safwan K. P., Ganapathy Krishnamurthi. 216-225 [doi]
• Multimodal Brain Tumor Segmentation Using 3D Convolutional NetworksR. G. Rodríguez Colmeiro, C. A. Verrastro, T. Grosges. 226-240 [doi]
• A Conditional Adversarial Network for Semantic Segmentation of Brain TumorMina Rezaei, Konstantin Harmuth, Willi Gierke, Thomas Kellermeier, Martin Fischer 0004, Haojin Yang, Christoph Meinel. 241-252 [doi]
• Dilated Convolutions for Brain Tumor Segmentation in MRI ScansMarc Moreno Lopez, Jonathan Ventura. 253-262 [doi]
• Residual Encoder and Convolutional Decoder Neural Network for Glioma SegmentationKamlesh Pawar, Zhaolin Chen, N. Jon Shah, Gary F. Egan. 263-273 [doi]
• TPCNN: Two-Phase Patch-Based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival PredictionFan Zhou, Tengfei Li, Heng Li, Hongtu Zhu. 274-286 [doi]
• Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 ChallengeFabian Isensee, Philip Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein. 287-297 [doi]
• Multi-modal PixelNet for Brain Tumor SegmentationMobarakol Islam, Hongliang Ren. 298-308 [doi]
• Brain Tumor Segmentation Using Dense Fully Convolutional Neural NetworkMazhar Shaikh, Ganesh Anand, Gagan Acharya, Abhijit Amrutkar, Alex Varghese, Ganapathy Krishnamurthi. 309-319 [doi]
• Brain Tumor Segmentation in MRI Scans Using Deeply-Supervised Neural NetworksReza Pourreza, Ying Zhuge, Holly Ning, Robert W. Miller. 320-331 [doi]
• Brain Tumor Segmentation and Parsing on MRIs Using Multiresolution Neural NetworksLaura Silvana Castillo, Laura Alexandra Daza, Luis Carlos Rivera, Pablo Arbeláez. 332-343 [doi]
• Brain Tumor Segmentation Using Deep Fully Convolutional Neural NetworksGeena Kim. 344-357 [doi]
• Glioblastoma and Survival PredictionZeina A. Shboul, Lasitha Vidyaratne, Mahbubul Alam, Khan M. Iftekharuddin. 358-368 [doi]
• MRI Augmentation via Elastic Registration for Brain Lesions SegmentationEgor Krivov, Maxim Pisov, Mikhail Belyaev. 369-380 [doi]
• Cascaded V-Net Using ROI Masks for Brain Tumor SegmentationAdria Casamitjana, Marcel Catà, Irina Sánchez, Marc Combalia, Verónica Vilaplana. 381-391 [doi]
• Brain Tumor Segmentation Using a 3D FCN with Multi-scale LossAndrew Jesson, Tal Arbel. 392-402 [doi]
• Brain Tumor Segmentation Using a Multi-path CNN Based MethodSara Sedlar. 403-422 [doi]
• 3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance SequencesYan Hu, Yong Xia. 423-434 [doi]
• Automated Brain Tumor Segmentation on Magnetic Resonance Images and Patient's Overall Survival Prediction Using Support Vector MachinesAlexander F. I. Osman. 435-449 [doi]
• Ensembles of Multiple Models and Architectures for Robust Brain Tumour SegmentationKonstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven G. McDonagh, M. Sinclair, Nick Pawlowski, Martin Rajchl, M. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker. 450-462 [doi]
• Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature ExtractionH. N. Bharath, S. Colleman, Diana Maria Sima, Sabine Van Huffel. 463-473 [doi]
• Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival PredictionAlain Jungo, Richard McKinley, Raphael Meier, Urspeter Knecht, Luis Vera, Julián Pérez-Beteta, David Molina-García, Víctor M. Pérez-García, Roland Wiest, Mauricio Reyes. 474-485 [doi]
• WMH Segmentation Challenge: A Texture-Based Classification ApproachMariana P. Bento, Roberto Medeiros de Souza, Roberto de Alencar Lotufo, Richard Frayne, Letícia Rittner. 489-500 [doi]
• White Matter Hyperintensities Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer LearningYongchao Xu, Thierry Géraud, Élodie Puybareau, Isabelle Bloch, Joseph Chazalon. 501-514 [doi]