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Stéphane Cotin

Researcher at French Institute for Research in Computer Science and Automation

Publications -  205
Citations -  7837

Stéphane Cotin is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Finite element method & Computer science. The author has an hindex of 40, co-authored 194 publications receiving 7066 citations. Previous affiliations of Stéphane Cotin include university of lille & Laboratoire d'Informatique Fondamentale de Lille.

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Journal ArticleDOI

New approaches to catheter navigation for interventional radiology simulation.

TL;DR: A series of novel approaches that have led to the development of a high-fidelity simulation system for interventional neuroradiology are described, focusing on a new approach for real-time deformation of devices such as catheters and guidewires during navigation inside complex vascular networks.
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Patient-Specific Biomechanical Modeling for Guidance During Minimally-Invasive Hepatic Surgery

TL;DR: A complete pipeline for the registration of pre-operative patient-specific image data to the sparse and incomplete intra-operative data is presented and it is demonstrated that the proposed registration method provides good results in terms of both accuracy and robustness w.r.t. the quality of the intra- operative data.
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Virtual Reality Interaction and Physical Simulation: Interactive physically-based simulation of catheter and guidewire

TL;DR: A composite model to realistically simulate a catheter, a guidewire or a combination of both is proposed and shows that the composite model exhibits the same characteristics of aCatheter/guidewire combination while maintaining real-time interaction.
Book ChapterDOI

Efficient Nonlinear FEM for Soft Tissue Modelling and Its GPU Implementation within the Open Source Framework SOFA

TL;DR: A CUDA-based nonlinear finite element model based on an anisotropic visco-hyperelastic constitutive formulation implemented on a graphical processor unit (GPU) is implemented into the SOFA open source framework.
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Computer-enhanced laparoscopic training system (CELTS): bridging the gap

TL;DR: CELTS is a novel and standardized skills trainer that combines the advantages of computer simulation with the features of the traditional and popular training boxes and ensures comparability across different training conditions.