I am heading the joint Inria/ICM Aramis Lab with O. Colliot at the Brain and Spine Institute (ICM) located within the Pitié-Salpêtrière hospital in Paris. I am also the founding director of the ICM Centre for Neuroinformatics , and scientific director of the ICM platform for data management and analytics.
My team focuses on the development of new statistical and computational approaches for the analysis of image data and image-derived geometric data such a surface meshes. We have contributed to the definition of statistical analysis methods for spatiotemporal measurements in longitudinal studies, where sets of geometric objects (or structured data) are observed at multiple points in time.
Our research is essentially motivated by, and applied to the study of the structure and function of the human brain. It makes accessible the wealth and complexity of information contained in multiple modalities of medical images via virtual representations of the brain, and allows the tracking of these representations during ageing or disease progression.
I received the Young Investigator Award from the conference MICCAI in 2008 and the second Gilles Kahn Award for best dissertation in computer science in 2010. In 2015, I was awarded an ERC Starting Grant from the European Research Council. I have been fellow of the Paris AI Research Institute (PRAIRIE) since 2019.
I am associate editor of IEEE Transactions on Medical Imaging (IF 6.1), and Neurons, Behavior, Data Analysis and Theory (NBDT).
- Nov 25: Congratulations to Manon Ansart who successfully defended her PhD today! A step forward for the implementation of clinical decision support systems in neurology... and evidences that a lot more has still to be done!
- Oct 17: Happy to chair this new edition of the MFCA workshop at MICCAI with my friends and colleagues Mads Nielsen and Guido Gerig! MFCA stands for Mathematical Foundations of Computational Anatomy.
- Oct 16: Bravo to Vianney Debaveleare for his best paper award at MICCAI!!
- Oct 7: Congratulations to Maxime Louis who successfully defended his PhD today! Inspiring work at the cross-roads of differential geometry and statistical learning (Computational and statistical methods for trajectory analysis in a Riemannian geometry setting)
- Oct 2: The Paris AI research Institute (PRAIRIE) is now officially launched! Happy and proud to be part of it.
- Sept 5: Happy to give a keynote speech at the AI for Health summit today! Video online shortly after...
- Magazine Sciences&Avenir (02/2017), article and video interview
- 50th Inria anniversary (04/2017), video interview
- Web magazine FrenchWeb.fr (05/2017), video interview
- video interview for the Paris Brain Institute (ICM) (02/2016)
- Magazine Sciences&Avenir (12/2017), article
- Biovision conference (04/2017), keynote lecture
- Radio France International, Priorité Santé (09/2017), interview
- Press Conference (04/2018), video interview
- Magazine Sciences&Avenir (04/2018) article and video interview
- France Culture, la méthode scientifique (04/2018), interview
- Magazine Revue Pharma, article
- AI and start-up summit (04/2019), video interview
- Newspaper Le Figaro Santé (11/2019), article
- Magazine Médecine, Cognition et Vieillissement (12/2019), article
- Newspaper Le Figaro Santé (12/2019), article
- Editor of 6 archived conference proceedings (4 in the Springer LNCS series)
- Author of more than 50 peer-reviewed publications, among which
- methodological journal articles in the fields of neuroimaging (Neuroimage), image analysis (Medical Image Analysis, IEEE Trans. Medical Imaging, SIAM J. Imaging Sciences), computer vision (International J. of Computer Vision), medical journal articles in the fields of neurology such as JAMA Neurology,
- peer-reviewed conference papers essentially in the field of medical image analysis (Medical Image Computing and Computer-Assisted Intervention (MICCAI), Information Processing in Medical Imaging (IPMI), International Symposium on Biomedical Imaging (ISBI)) and more occasionally in the fields of statistical learning and computer vision (Neural Information Processing System (NeurRIPS), Computer Vision and Pattern Recognition (CVPR))
Deformetrica: learn from shapes is a software project which provides statistical tools to analyze shape data using space deformations. Input data may be images, curve- or surface- meshes in 2D or 3D without the need for point correspondence. It can be used to build dynamical model of shape changes from longitudinal shape data sets. Brief introduction in this Medium post.
For more details, visit www.deformetrica.org
Leaspy: learn spatiotemporal patterns in python is a software project which allows the construction of personalized models of progression from longitudinal data sets, e.g. multiple subjects observed at multiple non-corresponding time-points. Data may be sets of biomarkers, or data distributed at the nodes of a fixed mesh. Brief introduction in this Medium post.
Geometrical approaches in statistical learning (Master MVA)
- Lecture notes (work in progress): Chapitre 1 , Chapitre 2 (1) , Chapitre 2 (2) , Chapitre 3 (1) , Chapitre 3 (2) , Chapitre 4, Lien overleaf.
- Presentations: Cours introductif, Approche biostatistique standard, Variétés Morphométriques, Statistiques sur les variétés.
- To practice with jupyter notebooks (from M. Louis): Regression Geodesique sur la sphere, 4 hands-on sessions to download
- Igor Koval (since 2020, PhD student in 2016-2019)
- Thomas Nedelec (since 2019)
- Paul Vernhet (since 2019)
- Clément Mantoux (since 2019), co-supervised with S. Allassonnière
- Thomas Lartigue (since 2017), co-supervised with S. Allassonnière
- Raphael Couronné (since 2017)
- Alexandre Bône (since 2016), co-supervised with O. Colliot
Engineers and Scientists
- Arnaud Valladier (since 2018), data scientist
- Etienne Maheux (since 2019), data scientist
- Manon Ansart, PhD student (2016-2019), co-supervised with D. Dormont, left for a postdoc position at LIO Lab in Quebec
- Maxime Louis, PhD student (2016-2019), co-supervised with B. Charlier, left for a data scientist position within Pixyl
- Benoit Martin, software developer (2018-2019), left to start a PhD at Sorbonne University
- Junhao Wen, PhD student (2015-2019), co-supervised with O. Colliot, left for a postdoc position with Davatzikos' lab at UPenn
- Lou Albessard, PhD student (2015-2018), co-supervised with D. Grimaud-Hervé
- Sabrina Fontanella (2016-2017), software developer, left for a Data Scientist position within Friss in Utrecht, The Netherlands
- Michael Bacci (2016-2017), software developer, left as freelance software developer
- Jean-Baptiste Schiratti, PhD student (2013-2017), left for a joint postdoc position between A. Gramfort's lab at Telecom ParisTech and the start-up Bioserenity.
- Barbara Gris, PhD student (2013-2016), left for a postdoc position in the mathematical department of KTH Stockholm with O. Oktem.
- Pietro Gori, PhD student (2012 - 2016), left for a postdoc position at Neurospin in J.F. Mangin's lab, and then assistant professor at Telecom ParisTech
- Ana Beatriz Graciano Fouquier, postdoc (2013 - 2016), left for a R&D engineer position in the start-up Cardiawave.
- Susovan Pal, postdoc (2014 - 2015), left for S. Joshi lab at UCLA
- François Touvet, engineer (2013 - 2015), left for the 3D animation studio Ellipsanime
- Alexandre Routier, engineer (2012 - 2015), left for a PhD at the Salpêtrière hospital
If you wish to support our research, you are welcome to donate to the Brain and Spine Institute (ICM), specifying that your donation is for supporting the research activities of the ARAMIS lab. Contact me for details.
If your company is looking for strong academic partnerships with a leading team in the field of geometric data analysis, feel free to contact me.
If you are a brilliant master student or just graduated PhD (Congrats!) with a background in Electrical Engineering, Applied Mathematics or Computer Science, feel free to send me an Contact me (explaining me in 5 lines what you feel interesting in our research). Available positions include postdocs, PhD candidates and software engineers. Current open position are advertised here.