Welcome
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Hi! I'm Camille Maumet, a research scientist in neuroinformatics at the Empenn team, Inria Rennes Bretagne Atlantique / IRISA. I study neuroimaging reproducibility. My current research focuses on the variability of analytical pipelines and its impact on our ability to reuse (and use) brain imaging datasets. I am also an open science advocate and participate actively in international communities including Brainhack, the INCF, and OHBM Open Science SIG. |
Latest talks
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- Towards reproducible neuroimaging - across different analysis pipelines
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- McGill Seminar Series in Quantitative Life Sciences and Medicine, Feb 2024, Montreal (Online), Canada. 2024
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- Towards reusable derived data in neuroimaging
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- MRI Together 2023 - Global workshop on open, reproducible, and inclusive MR research, Dec 2023, Online, Germany. pp.1-53, 2023
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- Towards reproducible neuroimaging across different analysis pipelines
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- CogBases 2023, Oct 2023, Paris, France. 2023
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Latest Publications
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- Jeremy Lefort-Besnard, Thomas E. Nichols, Camille Maumet. Systematic review and evaluation of meta-analysis methods for same data meta-analyses in a multiverse setting. OHBM 2024 - Annual Meeting on Organization for Human Brain Mapping, Jun 2024, Seoul, South Korea. pp.1-5. ⟨hal-04474780⟩
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- Jeremy Lefort-Besnard, Thomas E. Nichols, Camille Maumet. Review and evaluation of meta-analysis methods on correlated data for multiverse analysis. IABM 2024, https://iabm2024.sciencesconf.org/, Mar 2024, Grenoble, France. ⟨hal-04296407⟩
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- Stefano Moia, Hao-Ting Wang, Anibal S. Heinsfeld, Dorota Jarecka, Yu Fang Yang, et al.. Proceedings of the OHBM Brainhack 2022. 2024. ⟨hal-04478342⟩
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- Camille Maumet. Towards reproducible neuroimaging: Solutions for sharing and re-using brain imaging data. Neurosciences. University of Rennes, 2024. ⟨tel-04458543⟩
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- Elodie Germani, Elisa Fromont, Camille Maumet. Uncovering communities of pipelines in the task-fMRI analytical space. 2024. ⟨hal-04331232v2⟩
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