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Stenzel Cackowski
Stenzel Cackowski
PhD student
Verified email at univ-grenoble-alpes.fr
Title
Cited by
Cited by
Year
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
592020
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
282023
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
72022
comBat versus cycleGAN for multi-center MR images harmonization
S Cackowski, EL Barbier, M Dojat, T Christen
62021
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
62020
OFSEP Investigators; Steering Committee; Investigators; Imaging group. 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, ...
Diagn Interv Imaging 101 (12), 795-802, 2020
52020
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
12021
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
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