On April 8, 2025, Nicholas Ayache delivered a keynote presentation on “AI & Deep Learning for Medical Image Analysis” at the Data Science for Health and Biology (DS4HB) conference held at Politecnico di Milano. For more information about the conference, please visit the official DS4HB website. You can also explore…
On 21 March 2025, Nicholas Ayache gave an invited talk on “AI, Medical Imaging, Digital Twins and e-Medicine” and participated to a Panel on AI for Health at The Inauguration Ceremony of the International Alliance of Academicians & The International Academicians Hong Kong Forum
In december 2024, the Doctoral School ED STIC awarded Paul Tourniaire with an exceptional Scientific Prize for his PhD thesis work entitled “AI-based selection of imaging and biological markers predictive of therapy response in lung cancer.”Find his work : https://www-sop.inria.fr/asclepios/biblio/Author/TOURNIAIRE-P.html
Xavier Pennec, directeur de recherche au Centre Inria d’Université Côte d’Azur dans l’équipe-projet Epione, vient de se voir décerner ce 15 octobre le Grand prix Ampère de l’Électricité de France – Académie des sciences. Une distinction qui récompense ses travaux autour des statistiques géométriques et de leurs applications en anatomie…
Yann THANWERDAS was awarded the first prize of the ATSI (Automatic Images and Signal Processing) of the EDSTIC Doctoral school of Université Côte d’Azur for his PhD work on “Riemannian and stratified geometries of covariance and correlation matrices” under the supervision of Dr Xavier Pennec. Congratulations to him!
Huiyu Li, PhD student of Hervé Delingette and Nicholas Ayache, won the Best Paper Award at the 3rd MICCAI Workshop on Distributed, Collaborative and Federated Learning for her work “Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?”. Congratulations to her!
Congratulations to Tom Szwagier, master student in our team under the supervision of Xavier Pennec, for his 2nd place (in collboration with Arthur Pignet) at the ICLR 2022 Computational Geometry & Topology challenge! You can find their work on Wrapped Gaussian Process Regression on Riemannian Manifolds here!
AI Methods to select Imaging & Biological markers predictive of Immunotherapy Response in Lung Cancer (fullfilled) AI-based Diagnosis of Prostate Cancer from Multiparametric MRI (fullfilled) AI-based Real-time Diagnosis of abdominal organs from Ultrasound (fullfilled)
Nina Miolane received the second prize (special mention) for the AFRIF (french association for shape interpretation and recognition) PhD prize for her PhD entitled “Geometric Statistics for Computational Anatomy” realized in the context of the associated team GeomStats under the direction of Xavier Pennec (Inria Sophia Antipolis) and Susan Holmes…
Congratulations to Xavier Pennec for his ERC advanced grant on geometric statistics for life sciences. Read more about it on Inria’s website.
Cardiac Fibres from in vivo Diffusion Tensor Imaging
Non invasive cardiac personalisation
Simulation of ventricular tachycardia re-entry circuit
heartMeshFine
Electrophysiology
