| Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI P Roca, A Attye, L Colas, A Tucholka, P Rubini, S Cackowski, J Ding, ... Diagnostic and Interventional Imaging 101 (12), 795-802, 2020 | 56 | 2020 |
| ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization S Cackowski, EL Barbier, M Dojat, T Christen Medical Image Analysis 88, 102799, 2023 | 26 | 2023 |
| Genome alert!: a standardized procedure for genomic variant reinterpretation and automated gene–phenotype reassessment in clinical routine K Yauy, F Lecoquierre, S Baert-Desurmont, D Trost, A Boughalem, ... Genetics in Medicine 24 (6), 1316-1327, 2022 | 7 | 2022 |
| Investigators; Imaging Group P Roca, A Attye, L Colas, A Tucholka, P Rubini, S Cackowski Artificial intelligence to predict clinical disability in patients with …, 2020 | 6 | 2020 |
| comBat versus cycleGAN for multi-center MR images harmonization S Cackowski, EL Barbier, M Dojat, T Christen | 5 | 2021 |
| Genome Alert!: a standardized procedure for genomic variant reinterpretation and automated genotype-phenotype reassessment in clinical routine K Yauy, F Lecoquierre, S Baert-Desurmont, D Trost, A Boughalem, ... medRxiv, 2021.07. 13.21260422, 2021 | 1 | 2021 |
| Development and evaluation of AI methods for multi-centric MRI harmonization: application to pediatric brain studies S Cackowski Université Grenoble Alpes [2020-....], 2022 | | 2022 |
| Systematic and automated genotype-phenotype associations reassessment through ClinVar follow-up K Yauy, F Lecoquierre, S Baert-Desurmont, D Trost, A Boughalem, ... EUROPEAN JOURNAL OF HUMAN GENETICS 30 (SUPPL 1), 490-490, 2022 | | 2022 |
| Breaking the clinico-radiological paradox in multiple sclerosis using machine learning A Attyé, S Cackowski, A Tucholka, P Roca, P Rubini, S Verclytte, L Colas, ... 28th Annual Meeting ISMRM, 2020, 2020 | | 2020 |
