Neuroinformatics, Neuroimaging, Signal and Image Analysis, Human Vision
I am involved in human and animal brain studies based on functional neuroimaging. My favorite application is Human Vision (color vision, color assimilation grapheme-color synesthesia and saccadic eye movements). I also study vision deficits especially related to Parkinson's disease progression and Blepharospasm.
At the methodological level, I develop methods for MR brain image analysis: brain lesion segmentation (e.g. RAAI (2020-21) sponsored by the MIAI Grenoble Institute, RADIOAIDE sponsored by ANR (2022-26), brain connectivity (GRAACE project, (2020-23) sponsored by the MIAI Grenoble Institute), and biomarker imaging extraction (DAISIES project, 2022-2025) (2020-21) sponsored by the AURA region and MIAI Grenoble Institute.
I manage projects in Neuroinformatics to facilitate data and image processing sharing in neuroimaging (see the precursor NeuroLOG) and the current IAM (Information Analysis and Management) project for designing a versatile infrastructure FLI-IAM* for data and processing tool management for in vivo imaging in the context of France Life Imaging.
See the recent RT MAPPING on population imaging, the workshop APPNING, RT APPNING or the SAIN research network about animal population imaging. Interoperability between FLI-IAM and others life science platforms is studied via MUDI4LS project and EBRAINS.
I am one of the cofounders of PIXYL, a start-up that develops innovative computerized solutions for medical research. I am member of the steering committee of IXXI, a research center on complex systems and the scientific board of NeuroCoG, an interdisciplinary research program for a better understanding of brain and mind.
I also worked on AI-based systems for patient monitoring, temporal reasoning and models for medical reasoning. The application field was automatic control of therapy delivered to patients hospitalized in intensive care units. A prototype of a computerized protocol for pressure support delivrance, NéoGanesh was firstly designed. Several scientific publications demonstrate its therapeutic interest and an industrial version embedded into a commercial respirator in now available SmartCARE/PS (see details).
via Orcid.
via Publons.
via GoogleScolar.
via Loops.
via Hal.
En imagerie médicale, faire de l'IA une alliée (Le Monde "Science & Médecine" 01/06/2022)
I was born in France in 1959. I received my engineering diploma from Institut National des Sciences Appliquées de Lyon in applied physics in 1982, my PhD thesis in Computer Science in 1994 from University de Compiègne and my 'Habilitation à Diriger des Recherches' in "Medical Informatics" in 1999 from University J. Fourier de Grenoble. From 1985 to 1988, I worked as research engineer in Télémécanique Electrique research center (Nanterre, 92, Fr) on the modelisation and design of sensors for industrial process control. Since 1988, I am with INSERM. During 10 years (1988-1998), I worked in the INSERM U296 at Henri Mondor Hospital (Créteil, Fr), a Laboratory devoted to Respiratory Physiology, where I developed AI-oriented systems for supervision artificial ventilation. During this period, I was member of the AI lab (LAFORIA) of University Paris 6. In 1998, I joined the functional neuroimaging team (formely U594) at the Grenoble Institut des Neurosciences (U1216 ex-U836).
Neuroinformatics, Neuroimaging, Signal and Image Analysis, Human Vision.
http://pixylmedical.com