Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI. - Guanghui Fu; Gabriel Jimenez 001; Sophie Loizillon; Rosana El Jurdi; Lydia Chougar; Didier Dormont; Romain Valabrègue; Ninon Burgos; Stéphane Lehéricy; Daniel Racoceanu; Olivier Colliot (CoRR, 2022)

Semi-supervised Domain Adaptation for Automatic Quality Control of FLAIR MRIs in a Clinical Data Warehouse. - Sophie Loizillon; Olivier Colliot; Lydia Chougar; Sebastian Ströer; Yannick Jacob; Aurélien Maire; Didier Dormont; Ninon Burgos (DART@MICCAI, 2023)

Transfer learning from synthetic to routine clinical data for motion artefact detection in brain T1-weighted MRI. - Sophie Loizillon; Simona Bottani; Aurélien Maire; Sebastian Ströer; Didier Dormont; Olivier Colliot; Ninon Burgos (Image Processing, 2023)

Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data. - Guanghui Fu; Gabriel Jimenez 001; Sophie Loizillon; Lydia Chougar; Didier Dormont; Romain Valabrègue; Ninon Burgos; Stéphane Lehéricy; Daniel Racoceanu; Olivier Colliot (CoRR, 2023)

Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI? - Evangelia Christodoulou; Annika Reinke; Rola Houhou; Piotr Kalinowski; Selen Erkan; Carole H. Sudre; Ninon Burgos; Sofiène Boutaj; Sophie Loizillon; Maëlys Solal; Nicola Rieke; Veronika Cheplygina; et al. (MICCAI (10), 2024)

Detecting Brain Anomalies in Clinical Routine with the β-VAE: Feasibility Study on Age-Related White Matter Hyperintensities. - Sophie Loizillon; Yannick Jacob; Aurélien Maire; Didier Dormont; Olivier Colliot; Ninon Burgos; Apprimage Study Group (MIDL, 2024)

Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation. - Sophie Loizillon; Simona Bottani; Stéphane Mabille; Yannick Jacob; Aurélien Maire; Sebastian Ströer; Didier Dormont; Olivier Colliot; Ninon Burgos (CoRR, 2024)

Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data. - Sophie Loizillon; Simona Bottani; Aurélien Maire; Sebastian Ströer; Didier Dormont; Olivier Colliot; Ninon Burgos (Medical Image Anal., 2024)

Deep learning for automatic quality control and computer-aided diagnosis in neuroimaging using a large-scale clinical data warehouse. (Apprentissage profond pour le contrôle qualité automatique et l'aide au diagnostic en neuroimagerie au sein d'un large entrepôt de données de santé). - Sophie Loizillon (2024)

Automatic quality control of brain 3D FLAIR MRIs for a clinical data warehouse. - Sophie Loizillon; Simona Bottani; Aurélien Maire; Sebastian Ströer; Lydia Chougar; Didier Dormont; Olivier Colliot; Ninon Burgos (Medical Image Anal., 2025)

False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims. - Evangelia Christodoulou; Annika Reinke; Pascaline Andrè; Patrick Godau; Piotr Kalinowski; Rola Houhou; Selen Erkan; Carole H. Sudre; Ninon Burgos; Sofiène Boutaj; Sophie Loizillon; Maëlys Solal; et al. (CoRR, 2025)