Machine Learning for Quantification of Small Vessel Disease Imaging Biomarkers

M. Ghafoorian

Promotor: N. Karssemeijer
Copromotor: B. Platel
Radboud University, Nijmegen, The Netherlands
March 8, 2018


This thesis describes various methods for the quantification of white matter hyperintensities (WMH) and lacunes as two imaging biomarkers of small vessel disease (SVD) in MR images

A pdf file of this publication is available for personal use. Enter your e-mail address in the box below and press the button. You will receive an e-mail message with a link to the pdf file.