3 citations · 3 across the 2 of their papers we have counts for
2 papers
eess.IV2023
Neural Spherical Harmonics for structurally coherent continuous representation of diffusion MRI signal
Tom Hendriks, Anna Vilanova, Maxime Chamberland
We present a novel way to model diffusion magnetic resonance imaging (dMRI) datasets, that benefits from the structural coherence of the human brain while only using data from a si…
cs.CV2018★ 3 cited
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…