Weakly supervised inference of personalized heart meshes based on
Frontiers Deep Learning for Cardiac Image Segmentation: A Review
Bland-Altman graphics presenting the differences between volumes
Fabian LAUMER, PhD, Master of Science, ETH Zurich, Zürich, ETH Zürich, Department of Computer Science
Weakly supervised inference of personalized heart meshes based on
Frontiers A review of deep learning-based deformable medical
Segmentation results of volumes with best and worst Dice scores for CT
Dice coefficient of the scout segmentation on the testing datasets
PDF] Cycle-Consistent Generative Rendering for 2D-3D Modality
An automatic service for the personalization of ventricular
IEEE Transactions on Medical Imaging
A deep-learning approach for direct whole-heart mesh
SWISSHEART Failure Network (SHFN) – PHRT
Patient-specific CFD simulation results from time-resolved patient CT
Automatic multi-view pose estimation in focused cardiac ultrasound - ScienceDirect
