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 publications

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Guiomar Niso, Rotem Botvinik-Nezer, Stefan Appelhoff, Alejandro de La Vega, Oscar Esteban, et al.. Open and reproducible neuroimaging: from study inception to publication. NeuroImage, Elsevier, In press, ⟨10.1016/j.neuroimage.2022.119623⟩. ⟨inserm-03646706⟩
Accès au texte intégral et bibtex
https://www.hal.inserm.fr/inserm-03646706/file/Open%20and%20reproducible%20neuroimage_2022.pdf BibTex
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Aya Kabbara, Nina Forde, Camille Maumet, Mahmoud Hassan. Successful reproduction of a large EEG study across software packages. 2022. ⟨inserm-03747289⟩
Accès au bibtex
BibTex
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Elodie Germani, Camille Maumet. FMRI data analysis: How does analytical variability vary with sample size?. OHBM 2022 - 28th Annual Meeting of the Organization for Human Brain Mapping, Jun 2022, Glasgow, United Kingdom. pp.1-5. ⟨inserm-03642535⟩
Accès au texte intégral et bibtex
https://www.hal.inserm.fr/inserm-03642535/file/abstract_analytical_variability_sample_size_egermani_cmaumet.pdf BibTex