| 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 |
Ninon BurgosCNRS researcher - Paris Brain Institute (ICM), ARAMIS LabVerified email at cnrs.fr
