Search Results for author: Matthias Van Osch

Found 2 papers, 0 papers with code

Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI

no code implementations18 Jun 2023 Bo Li, Jeroen de Bresser, Wiro Niessen, Matthias Van Osch, Wiesje M. van der Flier, Geert Jan Biessels, Meike W. Vernooij, Esther Bron

Lacunes of presumed vascular origin, also referred to as lacunar infarcts, are important to assess cerebral small vessel disease and cognitive diseases such as dementia.

Fast Dynamic Perfusion and Angiography Reconstruction using an end-to-end 3D Convolutional Neural Network

no code implementations24 Aug 2019 Sahar Yousefi, Lydiane Hirschler, Merlijn van der Plas, Mohamed S. Elmahdy, Hessam Sokooti, Matthias Van Osch, Marius Staring

Hadamard time-encoded pseudo-continuous arterial spin labeling (te-pCASL) is a signal-to-noise ratio (SNR)-efficient MRI technique for acquiring dynamic pCASL signals that encodes the temporal information into the labeling according to a Hadamard matrix.

SSIM

Cannot find the paper you are looking for? You can Submit a new open access paper.