Author: villardp

Dr Villard obtained a PhD in Computer Graphics from University Claude Bernard Lyon I in 2006. After finishing his PhD he worked as a post-doctoral research fellow in the Harvard Medical School in the Simulation Group, in the CIMIT laboratory and in the Massachusetts General Hospital, in Boston (USA). He joined then Imperial College in the Department of Biosurgery and Surgical Technology research staff as a Research Associate at the end of May 2007 until September 2009 when he was recruited as a lecturer at Lorraine University. In 2013, he spent one month as an invited researcher in the Visualization and Medical Graphics group at the School of Computer Science, Bangor University (UK). Dr Villard is currently on a sabbatical leave funded by the CNRS at the Harvard Biorobotics Lab lead by Professor Robert D. Howe in Harvard University, Cambridge (USA). His main research interest are in medical visualisation and simulation, augmented reality and image guided surgery. He specially focuses on soft-tissue modelling, Finite Element Method, and Medical Images Processing.

Article accepted

Our article about “Quasi-Static Cosserat Rods in Contact with Implicit Surfaces”, by Radhouane Jilani, Pierre-Frédéric Villard and Erwan Kerrien (Inria NGE) was just accepted to IEEE Robotics and Automation Letters!

Paper accepted

Our paper about “Solving Dynamic Cosserat Rods with Frictional Contact Using the Shooting Method and Implicit Surfaces”, by Radhouane Jilani, Pierre-Frédéric Villard and Erwan Kerrien (Inria NGE) was just accepted to IROS 2024!

New intern student

Pauline Bonnet has recently started her M1 internship at the Loria lab. She will work on the simulation of a catheter with physics-informed neural networks (WP2). Welcome to the team Pauline!

Today, Meghane Decroocq gave a talk entitled “Modeling and hexahedral meshing of arterial networks from centerlines”

Abstract: We present a two-step method to obtain a realistic mesh of vascular tree from only a few centerline points:(1) A parametric model of the vessels relying on physiological parameters is computed.
(2) A mesh with high-quality flow-oriented hexahedral cells is generated from the model. A user-friendly interface was developed to open the use of the proposed methods to non-expert users. It includes many tools to visualize and manually edit vascular trees at the different steps of the meshing pipeline.