35 citations · 49 across the 7 of their papers we have counts for
3 papers · 1 filter
Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage
Xabier Morales, Jordi Mill, Guillem Simeon +4
The assessment of left atrial appendage (LAA) thrombogenesis has experienced major advances with the adoption of patient-specific computational fluid dynamics (CFD) simulations. No…
Was that so hard? Estimating human classification difficulty
Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov +2
When doctors are trained to diagnose a specific disease, they learn faster when presented with cases in order of increasing difficulty. This creates the need for automatically esti…
Multi-modal data generation with a deep metric variational autoencoder
Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen +6
We present a deep metric variational autoencoder for multi-modal data generation. The variational autoencoder employs triplet loss in the latent space, which allows for conditional…