3 papers
cs.LG2025
From 2D to 3D, Deep Learning-based Shape Reconstruction in Magnetic Resonance Imaging: A Review
Emma McMillian, Abhirup Banerjee, Alfonso Bueno-Orovio
Deep learning-based 3-dimensional (3D) shape reconstruction from 2-dimensional (2D) magnetic resonance imaging (MRI) has become increasingly important in medical disease diagnosis,…
eess.IV2025
3D Cardiac Anatomy Generation Using Mesh Latent Diffusion Models
Jolanta Mozyrska, Marcel Beetz, Luke Melas-Kyriazi +3
Diffusion models have recently gained immense interest for their generative capabilities, specifically the high quality and diversity of the synthesized data. However, examples of…
physics.med-ph2025
Simulation-based digital twinning of activation and repolarisation sequences from the ECG across healthy and diseased hearts
James A Coleman, Julia Camps, Abdallah I Hasaballa +1
Abnormal patterns of ventricular repolarisation contribute to lethal arrhythmias in various cardiac conditions, including inherited and acquired channelopathies, cardiomyopathies,…