Regular papers
A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI
Automatic multiplanar CT reformatting from trans-axial into left ventricle short-axis view
Graph convolutional regression of cardiac depolarization from sparse endocardial maps
A cartesian grid representation of left atrial appendages for deep learning based estimation of thrombogenic risk predictors
Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks
Modelling Fine-rained Cardiac Motion via Spatio-temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions- Towards mesh-free patient-specific mitral valve modeling
PIEMAP: Personalized Inverse Eikonal Model from cardiac Electro-Anatomical Maps
Automatic Detection of Landmarks for Fast Cardiac MR Image Registration
Quality-aware semi-supervised learning for CMR segmentation
Estimation of imaging biomarker's progression in post-infarct patients using cross-sectional data
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data
Shape constrained CNN for cardiac MR segmentation with simultaneous prediction of shape and pose parameters
Left atrial ejection fraction estimation using SEGANet for fully automated segmentation of CINE MRI
Estimation of Cardiac Valve Annuli Motion with Deep Learning
4D Flow Magnetic Resonance Imaging for Left Atrial Haemodynamic Characterization and Model Calibration
Segmentation-free Estimation of Aortic Diameters from MRI Using Deep Learning
M & Ms challenge
Histogram Matching Augmentation for Domain Adaptation with Application to Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Image Segmentation
Disentangled Representations for Domain-generalized Cardiac Segmentation
A 2-step Deep Learning method with Domain Adaptation for Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Magnetic Resonance Segmentation
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer
Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation
Studying Robustness of Segmantic Segmentation under Domain Shift in cardiac MRI
A deep convolutional neural network approach for the segmentation of cardiac structures from MRI sequences
Multi-center, Multi-vendor, and Multi-disease Cardiac Image Segmentation Using Scale-Independent Multi-Gate UNET
Adaptive Preprocessing for Generalization in Cardiac MR Image Segmentation
Deidentifying MRI data domain by iterative backpropagation
A generalizable deep-learning approach for cardiac magnetic resonance image segmentation using image augmentation and attention U-Net
Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation
Style-invariant Cardiac Image Segmentation with Test-time Augmentation
EMIDEC challenge
Comparison of a Hybrid Mixture Model and a CNN for the Segmentation of Myocardial Pathologies in Delayed Enhancement MRI
Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI
Automatic Myocardial Disease Prediction From Delayed-Enhancement Cardiac MRI and Clinical Information
SM2N2: A Stacked Architecture for Multimodal Data and its Application to Myocardial Infarction Detection
A Hybrid Network for Automatic Myocardial Infarction Segmentation in Delayed Enhancement-MRI
Efficient 3D deep learning for myocardial diseases segmentation
Deep-learning-based myocardial pathology detection
Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI using Deep Convolutional Networks
Uncertainty-based Segmentation of Myocardial Infarction Areas on Cardiac MR images
Anatomy Prior Based U-net for Pathology Segmentation with Attention
Automatic Scar Segmentation from DE-MRI Using 2D Dilated UNet with Rotation-based Augmentation
Classification of pathological cases of myocardial infarction using Convolutional Neural Network and Random Forest.