Susana 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: Estimation of Healthy and Fibrotic Tissue Distributions in DE-CMR Incorporating CINE-CMR in an EM Algorithm
Mia Mojica, Mihaela Pop, Maxime Sermesant, Mehran Ebrahimi: Multilevel Non-Parametric Groupwise Registration in Cardiac MRI: Application to Explanted Porcine Hearts
Antong Chen, Tian Zhou, Ilknur Icke, Sarayu Parimal, Belma Dogdas, Joseph Forbes, Smita Sampath, Ansuman Bagchi, Chih-Liang Chin: Transfer Learning for the Fully Automatic Segmentation of Left Ventricle Myocardium in Porcine Cardiac Cine MR Images
Cheng Jin, Heng Yu, Jianjiang Feng, Lei Wang, Jiwen Lu, Jie Zhou: Left Atrial Appendage Neck Modeling for Closure Surgery
Irem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel-Ángel González Ballester, Karim Lekadir: A Radiomics Approach to Computer-Aided Diagnosis in Cardiac Cine-MRI
Georgios Tziritas, Elias Grinias: Fast Fully-Automatic Localization of Left Ventricle and Myocardium in MRI using MRF Model Optimization, Substructures Tracking and B-spline Smoothing
Jelmer M Wolterink, Tim Leiner, Max. A Viergever, Ivana Isgum: Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images
Christian Baumgartner, Lisa Margret Koch, Marc Pollefeys, Ender Konukoglu: An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation
Fabian Isensee, Paul Jaeger, Peter Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein: Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features
Jay Patravali, Shubham Jain, Sasank Chilamkurthy: 2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation
Mahendra Khened, Varghese Alex, Ganapathy Krishnamurthi: Densely Connected Fully Convolutional Network for Short-Axis Cardiac Cine MR Image Segmentation and Heart Diagnosis using Random Forest
Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng: Class-balanced Deep Neural Network for Automatic Ventricular Structure Segmentation
Yeonggul Jang, seongmin ha, Sekeun Kim, Yoonmi Hong, Hyuk-Jae Chang: Automatic Segmentation of LV and RV in Cardiac MRI
Marc-Michel Rohé, Maxime Sermesant, Xavier Pennec: Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net
MM-WHS challenge
Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng: 3D Convolutional Networks for Fully Automatic Fine-grained Whole Heart Partition
Christian Payer, Darko Stern, Horst Bischof, Martin Urschler: Multi-Label Whole Heart Segmentation Using CNNs and Anatomical Label Configurations
Aliasghar Mortazi, Jeremy Burt, Ulas Bagci: Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT
Gaetan Galisot, Thierry Brouard, Jean-Yves Ramel: Local Probabilistic Atlases and A Posteriori Correction for the Segmentation of Heart Images
Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng Ann Heng: Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing
Qianqian Tong, Munan Ning, Weixin Si, Xiangyun Liao, Jing Qin: 3D Deeply-Supervised U-Net based Whole Heart Segmentation
Mattias Heinrich, Julien Oster: MRI Whole Heart Segmentation using Discrete Nonlinear Registration and Fast Non-Local Fusion
Chunliang Wang, Örjan Smedby: Automatic Whole Heart Segmentation Using Deep Learning and Shape Context
Guanyu Yang, Chenchen Sun, Yang Chen, Lijun Tabg, Huazhong Shu, Jean-Louis Dillenseger: Automatic Whole Heart Segmentation in CT Images Based on Multi-atlas Image Registration
