1 paper accepted at Nature Machine Intelligence

1 paper on generative modelling of cardiac anatomy and motion has been accepted by Nature Machine Intelligence, a top journal in the field of machine learning, and AI for science.

1. Mengyun Qiao, Kathryn A. McGurk, Shuo Wang, Paul M. Matthews, Declan P. O’Regan, Wenjia Bai. A personalized time-resolved 3D mesh generative model for unveiling normal heart dynamics. Nature Machine Intelligence, 2025.