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…
Rafael Silva (PhD student), Yingyu Yang (post-doc), Maëlis Morier (PhD student), Safaa Al Ali (post-doc), Maxime Sermesant (permanent Researcher), won the Best Poster Award at Computing in Cardiology Challenge 2024, for their work on YOUR-Lead: YOLO and U-Net for Reconstruction of ECG Lead Signals. It is a real challenge to…
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!
Buntheng Ly is a third year PhD student in our team under the supervision of Maxime Sermesant and Hubert Cochet (IHU Lyric), working on Sudden Cardiac Death prevention and ventricular arrhythmia treatment with Deep Learning and cardiac electrical activity modelling using 3D non-invasive cardiac imaging. His work has been rewarded…
Hind Dadoun is a second year PhD student in our team, working under the supervision of Nicholas Ayache, Hervé Delingette and Dr. Anne-Laure Rousseau from Paris Hospitals (AP-HP). Her work focuses on AI-based real time analysis of abdominal ultrasound in partnership with AP-HP, the Health Data Hub and the NGO…
Zihao Wang will present his work in MICCAI DALI workshop on 1st Oct. 2021. The talk is scheduled to start at 16:40 UTC. The presentations will introduce our recent work of using one-shot learning for cochlea landmarks. In this talk, he will show how to use only one annotated cochlea CT volume…
Listen to Nicholas Ayache at the panel discussion on Medical Imaging and Artificial Intelligence on November 5th, at 1pm. This event is part of the Imaging the Future digital series organized by the University of Bordeaux. More info. Registration for the zoom meeting: contact lise.monneraud@u-bordeaux.fr.
Cardiac Fibres from in vivo Diffusion Tensor Imaging
Non invasive cardiac personalisation
Simulation of ventricular tachycardia re-entry circuit
heartMeshFine
Electrophysiology
