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, ⟨10.1093/gigascience/giad029⟩. ⟨hal-03769993v6⟩
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- Aya Kabbara, Nina Forde, Camille Maumet, Mahmoud Hassan. Successful reproduction of a large EEG study across software packages. Neuroimage: Reports, In press, pp.1-37. ⟨10.1101/2022.08.03.502683⟩. ⟨inserm-03747289⟩
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