Echocardiography is a non-invasive medical imaging tool that serves to assess the cardiac functionality by producing images of the heart’s tissues and chambers using non-ionizing ultrasound waves. We propose a generative model that learns to produce personalized 4D (3D + time) heart models from 3D (2D + time) echocardiograms. We argue that such heart model may facilitate downstream tasks such as disease diagnosis and prediction. Our model ...

Thin Serverless Functions with GraalVM Native Image

A main concern of game theory involves predicting the behaviour of players from their underlying utilities. While the utilities of the players are often unknown, their behaviour is generally observable. This motivates the formulation of the static inverse problem which aims to infer the underlying utilities from an observed Nash equilibrium. By means of inverse optimization we recast the static inference problem as an optimization problem, ...