Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges

Chapter 1 Multiview Machine Learning Using an Atlas of Cardiac Cycle Motion

Chapter 2 Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI

Chapter 3 Transfer Learning for the Fully Automatic Segmentation of Left Ventricle Myocardium in Porcine Cardiac Cine MR Images

Chapter 4 Left Atrial Appendage Neck Modeling for Closure Surgery

Chapter 5 Detection of Substances in the Left Atrial Appendage by Spatiotemporal Motion Analysis Based on 4D-CT

Chapter 6 Estimation of Healthy and Fibrotic Tissue Distributions in DE-CMR Incorporating CINE-CMR in an EM Algorithm

Chapter 7 Multilevel Non-parametric Groupwise Registration in Cardiac MRI: Application to Explanted Porcine Hearts

Chapter 8 GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation

Chapter 9 A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI

Chapter 10 Fast Fully-Automatic Cardiac Segmentation in MRI Using MRF Model Optimization, Substructures Tracking and B-Spline Smoothing

Chapter 11 Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images

Chapter 12 An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation

Chapter 13 Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features

Chapter 15 Densely Connected Fully Convolutional Network for Short-Axis Cardiac Cine MR Image Segmentation and Heart Diagnosis Using Random Forest

Chapter 16 Class-Balanced Deep Neural Network for Automatic Ventricular Structure Segmentation

Chapter 17 Automatic Segmentation of LV and RV in Cardiac MRI

Chapter 18 Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net

Chapter 19 3D Convolutional Networks for Fully Automatic Fine-Grained Whole Heart Partition

Chapter 20 Multi-label Whole Heart Segmentation Using CNNs and Anatomical Label Configurations

Chapter 21 Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT

Chapter 22 Local Probabilistic Atlases and a Posteriori Correction for the Segmentation of Heart Images

Chapter 23 Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing

Chapter 24 3D Deeply-Supervised U-Net Based Whole Heart Segmentation

Chapter 25 MRI Whole Heart Segmentation Using Discrete Nonlinear Registration and Fast Non-local Fusion

Chapter 26 Automatic Whole Heart Segmentation Using Deep Learning and Shape Context

Chapter 27 Automatic Whole Heart Segmentation in CT Images Based on Multi-atlas Image Registration