Welcome
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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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- Elodie Germani, Elisa Fromont, Camille Maumet. Exploring variability patterns in the task-fMRI analytical space. OHBM 2023, Jul 2023, Montreal, France. ⟨hal-03991042⟩
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- 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⟩
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Latest Talks
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- BIDS-Prov: Recording neuroimaging provenance
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- Brain Imaging Data Structure (BIDS) derivatives meeting, Jun 2023, Copenhagen, Denmark
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- Different analysis pipelines, different results... How to deal with analytical variability?
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- 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Apr 2023, Cartagena (Colombia), Colombia
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