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
Neuroimaging data sharing with FLI-IAM
article
EBRAINS 2024 - First workshop of EBRAINS-France, Oct 2024, Marseille, France. 2024
Accès au texte intégral et bibtex
https://inria.hal.science/hal-04736937/file/2024-FLI-IAM%20EBRAINS.pdf BibTex
titre
Towards reproducible neuroimaging across different analysis pipelines
article
INT 2024 - Seminar at Institut de Neurosciences de la Timone, Oct 2024, Marseille, France. pp.1-72, 2024
Accès au texte intégral et bibtex
https://inria.hal.science/hal-04736842/file/Maumet%20-%20INT%20Marseille%20-%20Oct%202024.pdf BibTex
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
https://inria.hal.science/hal-04700527/file/EOSC_Maumet%20%281%29.pdf 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
https://hal.science/hal-04331232/file/icip2024-germ.pdf BibTex
ref_biblio
Jeremy Lefort-Besnard, Thomas E. Nichols, Camille Maumet. Same Data Meta Analysis for Neurimaging Multiverse Data. INCF Neuroinformatics Assembly 2024, Sep 2024, Austin (TX), United States. ⟨hal-04697056⟩
Accès au texte intégral et bibtex
https://inria.hal.science/hal-04697056/file/SDMA_INCF_2024.pdf BibTex

Preprints

ref_biblio
Elodie Germani, Xavier Rolland, Pierre Maurel, Camille Maumet. On the validity of fMRI mega-analyses using data processed with different pipelines. 2024. ⟨inserm-04466478v2⟩
Accès au texte intégral et bibtex
https://inserm.hal.science/inserm-04466478/file/template.pdf BibTex
ref_biblio
Jeremy Lefort-Besnard, Thomas E. Nichols, Camille Maumet. Statistical Inference for Same Data Meta-Analysis in Neuroimaging Multiverse Analyzes. 2024. ⟨hal-04754078⟩
Accès au texte intégral et bibtex
https://inria.hal.science/hal-04754078/file/SDMA_paper_preprint.pdf BibTex
ref_biblio
Elodie Germani, Elisa Fromont, Pierre Maurel, Camille Maumet. The HCP multi-pipeline dataset: an opportunity to investigate analytical variability in fMRI data analysis. 2024. ⟨inserm-04356768v2⟩
Accès au texte intégral et bibtex
https://inserm.hal.science/inserm-04356768/file/main.pdf BibTex
ref_biblio
Elodie Germani, Camille Maumet, Elisa Fromont. Mitigating analytical variability in fMRI results with style transfer. 2024. ⟨inserm-04531405v2⟩
Accès au texte intégral et bibtex
https://inserm.hal.science/inserm-04531405/file/elsarticle-template-num.pdf BibTex