Ensemble of 36 convolutional mesh autoencoders for left-ventricular meshes at end-diastole
Bonazzola, Rodrigo;
Ensemble of 36 convolutional mesh autoencoders for left-ventricular meshes at end-diastole
Content This file contains a set of weights and biases for 36 convolutional mesh autoencoder trained on left-ventricular 3D meshes, in turn derived from cardiac magnetic resonance images from the UK Biobank. The models were built with PyTorch. Usage Details on how to use these data to instantiate a model and perform inference can be found on this GitHub repository.
- University of Leeds United Kingdom
Mesh, Cardiology, Geometric deep learning, Neural networks
Mesh, Cardiology, Geometric deep learning, Neural networks