2 papers
cs.CV2018
ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans
Felix Lau, Tom Hendriks, Jesse Lieman-Sifry +3
Medical images with specific pathologies are scarce, but a large amount of data is usually required for a deep convolutional neural network (DCNN) to achieve good accuracy. We cons…
cs.CV2017
Computationally efficient cardiac views projection using 3D Convolutional Neural Networks
Matthieu Le, Jesse Lieman-Sifry, Felix Lau +3
4D Flow is an MRI sequence which allows acquisition of 3D images of the heart. The data is typically acquired volumetrically, so it must be reformatted to generate cardiac long axi…