The goal of this work is to identify the best optimizers for deep learni...
Purpose: To organize a knee MRI segmentation challenge for characterizin...
The performance of the state-of-the-art image segmentation methods heavi...
Adversarial learning has been proven to be effective for capturing long-...
Knowledge of whole heart anatomy is a prerequisite for many clinical
app...
Deep neural network architectures have traditionally been designed and
e...
Non-invasive detection of cardiovascular disorders from radiology scans
...
Anatomical and biophysical modeling of left atrium (LA) and proximal
pul...