|2021||Master ingénieur civil électricien||Université catholique de Louvain|
Quentin received his Electrical Engineering Master’s degree from Université catholique de Louvain in 2021. His master thesis was centered around the development of an image processing pipeline for large-scale in vivo population studies of the brain microstructure.
He is currently doing a PhD thesis under the supervision of Benoit Macq (UCLouvain). His current research aims at proposing a novel framework for the prediction of psychiatric diagnoses in the presence of diagnosis unreliability, based on advanced neuroimaging phenotypes. This research is supported by a Research Fellow grant from Fonds de la Recherche Scientifique (F.R.S.-FNRS).
Dessain, Quentin ; Delinte, Nicolas ; Macq, Benoît ; Rensonnet, Gaëtan. Fast multi-compartment microstructure fingerprinting using deep neural networks. 30th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) (London, United Kingdom, du 07/05/2022 au 12/05/2022).
Delinte, Nicolas ; Gosse, Claire ; Dricot, Laurence ; Dessain, Quentin ; Simon, Mathieu ; Macq, Benoît ; Van Reybroeck, Marie ; Rensonnet, Gaëtan. Microstructural alterations in the white matter of children with dyslexia assessed by multi-fascicle diffusion compartment imaging. 29th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) (du 15/05/2021 au 20/05/2021).