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

ref_biblio
Elodie Germani, Elisa Fromont, Camille Maumet. Exploring variability patterns in the task-fMRI analytical space. OHBM 2023, Jul 2023, Montreal, France. ⟨hal-03991042⟩
Accès au texte intégral et bibtex
https://inria.hal.science/hal-03991042/file/abstract_OHBM.pdf BibTex
ref_biblio
Elodie Germani, Elisa Fromont, Camille Maumet. On the benefits of self-taught learning for brain decoding. GigaScience, 2023, 12, pp.1-17. ⟨10.1093/gigascience/giad029⟩. ⟨hal-03769993v6⟩
Accès au texte intégral et bibtex
https://inria.hal.science/hal-03769993/file/on_the_benefits_of_self_taught_learning.pdf BibTex

Latest Talks

titre
BIDS-Prov: Recording neuroimaging provenance
article
Brain Imaging Data Structure (BIDS) derivatives meeting, Jun 2023, Copenhagen, Denmark
Accès au texte intégral et bibtex
https://inria.hal.science/hal-04137329/file/2023-06_Maumet_BIDS-derivatives_%20BIDS-Prov.pdf BibTex
titre
Different analysis pipelines, different results... How to deal with analytical variability?
article
20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Apr 2023, Cartagena (Colombia), Colombia
Accès au texte intégral et bibtex
https://inria.hal.science/hal-04073419/file/ISBI%202023%20--%20analytical%20variability.pdf BibTex