Transfer learning from synthetic to routine clinical data for motion artefact detection in brain T1-weighted MRI S Loizillon, S Bottani, A Maire, S Ströer, D Dormont, O Colliot, N Burgos
Medical Imaging 2023: Image Processing 12464, 343-349, 2023
6 2023 Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data S Loizillon, S Bottani, A Maire, S Ströer, D Dormont, O Colliot, N Burgos, ...
Medical Image Analysis 93, 103073, 2024
3 2024 Semi-supervised Domain Adaptation for Automatic Quality Control of FLAIR MRIs in a Clinical Data Warehouse S Loizillon, O Colliot, L Chougar, S Stroer, Y Jacob, A Maire, D Dormont, ...
MICCAI Workshop on Domain Adaptation and Representation Transfer, 84-93, 2023
1 2023 The intriguing effect of frequency disentangled learning on medical image segmentation G Fu, G Jimenez, S Loizillon, L Chougar, D Dormont, R Valabregue, ...
Medical Imaging 2024: Image Processing 12926, 366-373, 2024
2024 Leveraging noise and contrast simulation for the automatic quality control of routine clinical T1-weighted brain MRI S Loizillon, S Mabille, S Bottani, Y Jacob, A Maire, S Ströer, D Dormont, ...
Medical Imaging 2024: Image Processing 12926, 322-326, 2024
2024 Recent advances in the open-source ClinicaDL software for reproducible neuroimaging with deep learning R Hassanaly, C Brianceau, M Diaz, S Loizillon, E Thibeau-Sutre, ...
SPIE Medical Imaging, 2024
2024 Detecting Brain Anomalies in Clinical Routine with the -VAE: Feasibility Study on Age-Related White Matter Hyperintensities S Loizillon, Y Jacob, M Aurélien, D Dormont, O Colliot, N Burgos, ...
Medical Imaging with Deep Learning, 2024
2024 Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data G Fu, G Jimenez, S Loizillon, L Chougar, D Dormont, R Valabregue, ...
arXiv preprint arXiv:2302.12980, 2023
2023 Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI G Fu, G Jimenez, S Loizillon, RE Jurdi, L Chougar, D Dormont, ...
arXiv preprint arXiv:2211.01353, 2022
2022 Deep-learning based retinal fluid segmentation in optical coherence tomography images using a cascade of ENets S Loizillon, C Meurée, C Breuil, T Faucon, A Lambert
bioRxiv, 2021.09. 24.461713, 2021
2021