no code implementations • 16 Aug 2023 • 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 single subject.
no code implementations • 14 Aug 2018 • Felix Lau, Tom Hendriks, Jesse Lieman-Sifry, Berk Norman, Sean Sall, Daniel Golden
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.
