Articles avec mandats d'accès public - Yohan ChatelainEn savoir plus
Disponibles quelque part : 7
Numerical uncertainty in analytical pipelines lead to impactful variability in brain networks
G Kiar, Y Chatelain, P de Oliveira Castro, E Petit, A Rokem, G Varoquaux, ...
PloS one 16 (11), e0250755, 2021
Exigences : Conseil de recherches en sciences naturelles et en génie du Canada
Piecewise holistic autotuning of parallel programs with cere
M Popov, C Akel, Y Chatelain, W Jalby, P de Oliveira Castro
Concurrency and Computation: Practice and Experience 29 (15), e4190, 2017
Exigences : European Commission
Reducing numerical precision preserves classification accuracy in Mondrian Forests
M Vicuna, M Khannouz, G Kiar, Y Chatelain, T Glatard
2021 IEEE International Conference on Big Data (Big Data), 2785-2790, 2021
Exigences : Conseil de recherches en sciences naturelles et en génie du Canada
Reproducibility of tumor segmentation outcomes with a deep learning model
M Des Ligneris, A Bonnet, Y Chatelain, T Glatard, M Sdika, G Vila, ...
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
Exigences : Agence Nationale de la Recherche
The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging
G Vila, E Medernach, I Gonzalez Pepe, A Bonnet, Y Chatelain, M Sdika, ...
Proceedings of the 2nd ACM Conference on Reproducibility and Replicability …, 2024
Exigences : Agence Nationale de la Recherche
Longitudinal brain structure changes in Parkinson’s disease: A replication study
A Sokołowski, N Bhagwat, Y Chatelain, M Dugré, A Hanganu, O Monchi, ...
Plos one 19 (1), e0295069, 2024
Exigences : Michael J Fox Foundation
Predicting Parkinson’s disease progression using MRI-based white matter radiomic biomarker and machine learning: a reproducibility and replicability study
M Arafe, N Bhagwat, Y Chatelain, M Dugré, A Sokołowski, M Wang, ...
bioRxiv, 2023.05. 05.539590, 2023
Exigences : Michael J Fox Foundation
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