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Jonas Richiardi

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Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

May 26, 2023
Nataliia Molchanova, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Till Huelnhagen, Jonas Richiardi

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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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The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)

Nov 17, 2021
Javier Ortega-Garcia, Julian Fierrez, Fernando Alonso-Fernandez, Javier Galbally, Manuel R Freire, Joaquin Gonzalez-Rodriguez, Carmen Garcia-Mateo, Jose-Luis Alba-Castro, Elisardo Gonzalez-Agulla, Enrique Otero-Muras, Sonia Garcia-Salicetti, Lorene Allano, Bao Ly-Van, Bernadette Dorizzi, Josef Kittler, Thirimachos Bourlai, Norman Poh, Farzin Deravi, Ming NR Ng, Michael Fairhurst, Jean Hennebert, Andreas Humm, Massimo Tistarelli, Linda Brodo, Jonas Richiardi, Andrezj Drygajlo, Harald Ganster, Federico M Sukno, Sri-Kaushik Pavani, Alejandro Frangi, Lale Akarun, Arman Savran

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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

Figure 1 for Weak labels and anatomical knowledge: making deep learning practical for intracranial aneurysm detection in TOF-MRA
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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

Figure 1 for An anatomically-informed 3D CNN for brain aneurysm classification with weak labels
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Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis

Sep 10, 2018
Francesco La Rosa, Mário João Fartaria, Tobias Kober, Jonas Richiardi, Cristina Granziera, Jean-Philippe Thiran, Meritxell Bach Cuadra

Figure 1 for Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis
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