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Picture for Patric Hagmann

Patric Hagmann

Department of Radiology, Lausanne University Hospital

Transfer learning with weak labels from radiology reports: application to glioma change detection


Oct 18, 2022
Tommaso Di Noto, Meritxell Bach Cuadra, Chirine Atat, Eduardo Gamito Teiga, Monika Hegi, Andreas Hottinger, Patric Hagmann, Jonas Richiardi

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* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom


Sep 06, 2021
Hélène Lajous, Christopher W. Roy, Tom Hilbert, Priscille de Dumast, Sébastien Tourbier, Yasser Alemán-Gómez, Jérôme Yerly, Thomas Yu, Hamza Kebiri, Kelly Payette, Jean-Baptiste Ledoux, Reto Meuli, Patric Hagmann, Andras Jakab, Vincent Dunet, Mériam Koob, Tobias Kober, Matthias Stuber, Meritxell Bach Cuadra

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* 23 pages, 9 figures (including Supplementary Material), 4 tables, 1 supplement. Submitted to Scientific Reports (2021) 

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Weak labels and anatomical knowledge: making deep learning practical for intracranial aneurysm detection in TOF-MRA


Mar 10, 2021
Tommaso Di Noto, Guillaume Marie, Sebastien Tourbier, Yasser Alemán-Gómez, Oscar Esteban, Guillaume Saliou, Meritxell Bach Cuadra, Patric Hagmann, Jonas Richiardi

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An anatomically-informed 3D CNN for brain aneurysm classification with weak labels


Nov 27, 2020
Tommaso Di Noto, Guillaume Marie, Sébastien Tourbier, Yasser Alemán-Gómez, Guillaume Saliou, Meritxell Bach Cuadra, Patric Hagmann, Jonas Richiardi

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* 11 pages, 2 figures, Paper accepted at the "Machine Learning in Clinical Neuroimaging" (MLCN) MICCAI workshop 2020 (https://mlcnws.com/

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