Welcome

Camille

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

titre
Data sharing: towards large open datasets in brain imaging
article
Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM 2024), Mar 2024, Grenoble, France
Accès au texte intégral et bibtex
https://inria.hal.science/hal-04534429/file/IABM%20%20-%20Data%20sharing_%20towards%20large%20open%20datasets%20in%20brain%20imaging.pdf BibTex
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titre
Towards reproducible neuroimaging - across different analysis pipelines
article
QLS 2024 - McGill Seminar Series in Quantitative Life Sciences and Medicine, Feb 2024, Montreal (Online), Canada. 2024
Accès au texte intégral et bibtex
https://inria.hal.science/hal-04479231/file/Maumet_QLS.pdf BibTex
titre
Towards reusable derived data in neuroimaging
article
MRI Together 2023 - Global workshop on open, reproducible, and inclusive MR research, Dec 2023, Online, Germany. pp.1-53, 2023
Accès au texte intégral et bibtex
https://inria.hal.science/hal-04328352/file/Maumet_MRItogether2023_derived_data.pdf BibTex

Latest Publications

ref_biblio
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⟩
Accès au texte intégral et bibtex
https://inria.hal.science/hal-04474780/file/OHBM2024%20%281%29.pdf BibTex
ref_biblio
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⟩
Accès au texte intégral et bibtex
https://inria.hal.science/hal-04296407/file/IABM24.pdf BibTex
ref_biblio
Stefano Moia, Hao-Ting Wang, Anibal S. Heinsfeld, Dorota Jarecka, Yu Fang Yang, et al.. Proceedings of the OHBM Brainhack 2022. Aperture Neuro, 2024. ⟨hal-04478342v2⟩
Accès au texte intégral et bibtex
https://inria.hal.science/hal-04478342/file/92760-proceedings-of-the-ohbm-brainhack-2022.pdf BibTex
ref_biblio
Russell Poldrack, Christopher Markiewicz, Stefan Appelhoff, Yoni Ashar, Tibor Auer, et al.. The Past, Present, and Future of the Brain Imaging Data Structure (BIDS). Imaging Neuroscience, 2024, 2, pp.1-19. ⟨10.1162/imag_a_00103⟩. ⟨hal-04346097⟩
Accès au texte intégral et bibtex
https://hal.science/hal-04346097/file/imag_a_00103.pdf BibTex
ref_biblio
Jeremy Lefort-Besnard, Thomas E Nichols​, Camille Maumet. Systematic review and evaluation of meta-analysis methods for same data meta-analyses. Cogbases-2023 - Workshop on open science methods for analyzing brain imaging data, Institut Pasteur, Paris; Parietal team, Inria, Paris Saclay, Oct 2023, Paris, France. pp.1-1. ⟨inserm-04222730⟩
Accès au texte intégral et bibtex
https://inserm.hal.science/inserm-04222730/file/cogbases23_abstract.pdf BibTex