Inria Asclepios News
Rafael Silva, Yingyu Yang, Maëlis Morier and Safaa Al Ali 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 extract digital ECG data from paper printed ECGs. Congratulations…
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…
Read the introduction to the Proceedings of the IEEE January 2020 Special Issue written by Guest Editors Prof. James S. Duncan, Prof. Michael F. Insana and Prof. Nicholas Ayache. Full text is available here.
The book “Riemannian Geometric Statistics in Medical Image Analysis” edited par Xavier Pennec, Stefan Sommer and Tom Fletcher in out since September 3! This is the 3rd book of Elsevier and MICCAI Society book series. This book aims at being a complete reference on statistics on Riemannian manifolds and more…
Congratulations to Yann Thanwerdas for the nomination of his paper Exploration of Balanced Metrics on Symmetric Positive Definite Matrices among the 5 running papers for the best paper award of the Geometric Sciences of Information conference GSI2019 in Toulouse.
The project is on federated learning in biomedical applications, and will focus on statistical learning in healthcare in compliance with anonymity, security and non-transferability of data across centers. Fed-BioMed will tackle this challenge through methodological, technical, and translational advances. The project will allow us to exploit data for thousands of…
Congratulations to Fanny Orlhac, one of our post-doctoral researchers for her l’Oréal-UNESCO grant for Women in Science 2018. This grand awards some thirty young women scientists each year. More about it on Inria’s website.
On 6 Dec 2017, Nicholas Ayache was elected at the French Academy of Surgery as a free member (a category reserved to non-surgeons who brought significant contributions to the field). He was invited to attend the solemn session on 10 Jan 2018 along with all new elected members. Read more…
Cardiac Fibres from in vivo Diffusion Tensor Imaging
Non invasive cardiac personalisation
Simulation of ventricular tachycardia re-entry circuit
heartMeshFine
Electrophysiology
