Welcome
|
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
- Flash Talks/Poster session: GDPR-compliant human neuroimaging data sharing using Shanoir
- article
- EOSC 2024 - France Tripartite Event, Sep 2024, Paris, France. 2024
- Accès au texte intégral et bibtex
-
-
- titre
- From NIDM to BIDS-Prov: A personal perspective on 10 years of metadata standardization towards neuroimaging data sharing
- article
- Workshop "The future of FAIR data management and engineering for open and reproducible neuroimaging", Jul 2024, Oldenburg, Germany
- Accès au texte intégral et bibtex
-
-
- titre
- Women and minorities in research
- article
- MIDL 2024 - Medical Imaging with Deep Learning Conference - Doctoral Symposium, Jul 2024, Paris, France. , 2024
- Accès au texte intégral et bibtex
-
Latest Publications
- ref_biblio
- Elodie Germani, Elisa Fromont, Camille Maumet. Uncovering communities of pipelines in the task-fMRI analytical space. IEEE International Conference on Image Processing, Oct 2024, Abu Dhabi, United Arab Emirates. ⟨hal-04331232v3⟩
- Accès au texte intégral et bibtex
-
- ref_biblio
- Jeremy Lefort-Besnard, Thomas E. Nichols, Camille Maumet. Same Data Meta Analysis for Neurimaging Multiverse Data. Neuroinformatics 2024 - XXVI International conference Neuroinformatics, INCF, Sep 2024, Austin (TX), United States. pp.1-1. ⟨hal-04697056⟩
- Accès au texte intégral et bibtex
-
- 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. Selected for oral presentation. ⟨hal-04474780⟩
- Accès au texte intégral et 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
-
- 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, ⟨10.52294/001c.92760⟩. ⟨hal-04478342v2⟩
- Accès au texte intégral et bibtex
-