Table of Contents

• Multiview Machine Learning Using an Atlas of Cardiac Cycle MotionEsther Puyol-Antón, Matthew Sinclair, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Paul Aljabar, Julia A. Schnabel, Paolo Piro, Andrew P. King. 3-11 [doi]
• Joint Myocardial Registration and Segmentation of Cardiac BOLD MRIIlkay Öksüz, Rohan Dharmakumar, Sotirios A. Tsaftaris. 12-20 [doi]
• Transfer Learning for the Fully Automatic Segmentation of Left Ventricle Myocardium in Porcine Cardiac Cine MR ImagesAntong Chen, Tian Zhou, Ilknur Icke, Sarayu Parimal, Belma Dogdas, Joseph Forbes, Smita Sampath, Ansuman Bagchi, Chih-Liang Chin. 21-31 [doi]
• Left Atrial Appendage Neck Modeling for Closure SurgeryCheng Jin, Heng Yu, Jianjiang Feng, Lei Wang, Jiwen Lu, Jie Zhou. 32-41 [doi]
• Detection of Substances in the Left Atrial Appendage by Spatiotemporal Motion Analysis Based on 4D-CTCheng Jin, Heng Yu, Jianjiang Feng, Lei Wang, Jiwen Lu, Jie Zhou. 42-50 [doi]
• Estimation of Healthy and Fibrotic Tissue Distributions in DE-CMR Incorporating CINE-CMR in an EM AlgorithmSusana Merino-Caviedes, Lucilio Cordero-Grande, M. Teresa Sevilla-Ruiz, Ana Revilla-Orodea, M. Teresa Pérez Rodríguez, César Palencia de Lara, Marcos Martín-Fernández, Carlos Alberola-López. 51-59 [doi]
• Multilevel Non-parametric Groupwise Registration in Cardiac MRI: Application to Explanted Porcine HeartsMia Mojica, Mihaela Pop, Maxime Sermesant, Mehran Ebrahimi. 60-69 [doi]
• GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac SegmentationClément Zotti, Zhiming Luo, Olivier Humbert, Alain Lalande, Pierre-Marc Jodoin. 73-81 [doi]
• A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRIIrem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir. 82-90 [doi]
• Fast Fully-Automatic Cardiac Segmentation in MRI Using MRF Model Optimization, Substructures Tracking and B-Spline SmoothingElias Grinias, Georgios Tziritas. 91-100 [doi]
• Automatic Segmentation and Disease Classification Using Cardiac Cine MR ImagesJelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum. 101-110 [doi]
• An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image SegmentationChristian F. Baumgartner, Lisa M. Koch, Marc Pollefeys, Ender Konukoglu. 111-119 [doi]
• Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific FeaturesFabian Isensee, Paul F. Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein. 120-129 [doi]
• 2D-3D Fully Convolutional Neural Networks for Cardiac MR SegmentationJay Patravali, Shubham Jain, Sasank Chilamkurthy. 130-139 [doi]
• Densely Connected Fully Convolutional Network for Short-Axis Cardiac Cine MR Image Segmentation and Heart Diagnosis Using Random ForestMahendra Khened, Alex Varghese, Ganapathy Krishnamurthi. 140-151 [doi]
• Class-Balanced Deep Neural Network for Automatic Ventricular Structure SegmentationXin Yang 0009, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng. 152-160 [doi]
• Automatic Segmentation of LV and RV in Cardiac MRIYeonggul Jang, Yoonmi Hong, Seongmin Ha, Sekeun Kim, Hyuk-Jae Chang. 161-169 [doi]
• Automatic Multi-Atlas Segmentation of Myocardium with SVF-NetMarc-Michel Rohé, Maxime Sermesant, Xavier Pennec. 170-177 [doi]
• 3D Convolutional Networks for Fully Automatic Fine-Grained Whole Heart PartitionXin Yang 0009, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng. 181-189 [doi]
• Multi-label Whole Heart Segmentation Using CNNs and Anatomical Label ConfigurationsChristian Payer, Darko Stern, Horst Bischof, Martin Urschler. 190-198 [doi]
• Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CTAliasghar Mortazi, Jeremy Burt, Ulas Bagci. 199-206 [doi]
• Local Probabilistic Atlases and a Posteriori Correction for the Segmentation of Heart ImagesGaetan Galisot, Thierry Brouard, Jean-Yves Ramel. 207-214 [doi]
• Hybrid Loss Guided Convolutional Networks for Whole Heart ParsingXin Yang 0009, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng. 215-223 [doi]
• 3D Deeply-Supervised U-Net Based Whole Heart SegmentationQianqian Tong, Munan Ning, Weixin Si, Xiangyun Liao, Jing Qin. 224-232 [doi]
• MRI Whole Heart Segmentation Using Discrete Nonlinear Registration and Fast Non-local FusionMattias P. Heinrich, Julien Oster. 233-241 [doi]
• Automatic Whole Heart Segmentation Using Deep Learning and Shape ContextChunliang Wang, Örjan Smedby. 242-249 [doi]
• Automatic Whole Heart Segmentation in CT Images Based on Multi-atlas Image RegistrationGuanyu Yang, Chenchen Sun, Yang Chen 0008, Lijun Tang, Huazhong Shu, Jean-Louis Dillenseger. 250-257 [doi]