| Automatic exploration of reduced floating-point representations in iterative methods Y Chatelain, E Petit, P de Oliveira Castro, G Lartigue, D Defour Euro-Par 2019: Parallel Processing: 25th International Conference on …, 2019 | 38 | 2019 |
| 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 | 18* | 2021 |
| VeriTracer: Context-enriched tracer for floating-point arithmetic analysis Y Chatelain, PDO Castro, E Petit, D Defour, J Bieder, M Torrent 2018 IEEE 25th Symposium on Computer Arithmetic (ARITH), 61-68, 2018 | 14 | 2018 |
| 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 | 13 | 2017 |
| Accurate simulation of operating system updates in neuroimaging using Monte-Carlo arithmetic A Salari, Y Chatelain, G Kiar, T Glatard Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021 | 7 | 2021 |
| Data augmentation through Monte Carlo arithmetic leads to more generalizable classification in connectomics G Kiar, Y Chatelain, A Salari, AC Evans, T Glatard arXiv preprint arXiv:2109.09649, 2021 | 6 | 2021 |
| 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 | 5 | 2023 |
| Pytracer: Automatically profiling numerical instabilities in python Y Chatelain, NY Sao Young, G Kiar, T Glatard IEEE Transactions on Computers 72 (6), 1792-1803, 2022 | 5 | 2022 |
| 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 | 4 | 2021 |
| 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 | 2 | 2024 |
| 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 | 2 | 2024 |
| Numerical stability of DeepGOPlus inference I Gonzalez Pepe, Y Chatelain, G Kiar, T Glatard Plos one 19 (1), e0296725, 2024 | 2 | 2024 |
| Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis IG Pepe, V Sivakolunthu, HL Park, Y Chatelain, T Glatard International Workshop on Uncertainty for Safe Utilization of Machine …, 2023 | 2 | 2023 |
| Outils de débogage et d'optimisation des calculs flottants dans le contexte HPC Y Chatelain Université Paris Saclay (COmUE), 2019 | 2 | 2019 |
| A numerical variability approach to results stability tests and its application to neuroimaging Y Chatelain, L Tetrel, CJ Markiewicz, M Goncalves, G Kiar, O Esteban, ... IEEE Transactions on Computers, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| ReproVIP Report# 1.1. 1 Selected Metrics and Reproducibility Results G Vila, M Des Ligneris, A Bonnet, T Glatard, Y Chatelain, C Frindel, ... CREATIS Université Lyon 1, 2023 | 1 | 2023 |
| The impact of FreeSurfer versions on structural neuroimaging analyses of Parkinson’s disease A Sokołowski, N Bhagwat, D Kirbizakis, Y Chatelain, M Dugré, JB Poline, ... bioRxiv, 2024.11. 11.623071, 2024 | | 2024 |
| An Analysis of Performance Bottlenecks in MRI Pre-Processing M Dugré, Y Chatelain, T Glatard arXiv preprint arXiv:2405.17650, 2024 | | 2024 |
| Check for updates IG Pepe, V Sivakolunthu, HL Park, Y Chatelain, T Glatard Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 5th …, 2023 | | 2023 |
Tristan GlatardCentre for Addiction and Mental Health (CAMH)Email confirmado em camh.ca