2 papers
cs.CV2022
Cluster-Based Autoencoders for Volumetric Point Clouds
Stephan Antholzer, Martin Berger, Tobias Hell
Autoencoders allow to reconstruct a given input from a small set of parameters. However, the input size is often limited due to computational costs. We therefore propose a clusteri…
cs.CV2018
Deep Neural Networks for ECG-free Cardiac Phase and End-Diastolic Frame Detection on Coronary Angiographies
Costin Ciusdel, Alexandru Turcea, Andrei Puiu +10
Invasive coronary angiography (ICA) is the gold standard in Coronary Artery Disease (CAD) imaging. Detection of the end-diastolic frame (EDF) and, in general, cardiac phase detecti…