Projects
Revision as of 12:11, 3 February 2021 by Michel.duprez (talk | contribs)
- A/D Drugs (Oct. 2020 -...): Inria exploratory action carried by Axel Hutt. In the management of mental disorders, the appearance of resistance to treatment is a major problem. Replacing the analogical drug (a chemical substance) by a digital drug (a neuronal stimulation) could allow to get around the problem. This is the objective of the exploratory action A/D Drugs, which will involve a process of data assimilation and control allowing the stimulation to be adapted to the patient.
- ArtIC: Artificial Intelligence for Care (Sept. 2020 - August 2024): project funded by the French National Research Agency (ANR) and ICube, University of Strasbourg. Stéphane Cotin, Hyewon Seo are participating.
- DynaMoV: Learning-Based Approach for 3D Reconstruction of Dynamic Human Model from Single-View Video (Sept. 2021 - August 2022): project funded by Idex, University of Strasbourg, led by Hyewon Seo.
- Human4D: Acquisition, Analysis and Synthesis of Human Body Shape in Motion (Oct. 2019 - Mar. 2024), is a French national project funded by the ANR (French National Research Agency) and led by Hyewon Seo. It has been selected as a collaborative project (PRC program: Collaborative Research Project) by the IA Scientific Committee (CES 23 - Artificial Intelligence). The consortium is composed of 4 national partners: CRIStAL, ICube, INRIA (Grenoble Rhône-Alpes), and LIRIS. Human4D is interested in the problem of 4D modeling of the human form. It aims to study the reconstruction, synthesis, and understanding of the shape and movement of individuals or groups of people, with a particular focus on how to represent a collection of 4D data in an efficient and compact way.
- Sperry: Supervised Robotic Surgery - Application to Radiofrequency Ablation of Liver Tumors (Dec. 2018 - Nov. 2021), is a French national project funded by the ANR (Agence Nationale de la Recherche) and led by Hadrien Courtecuisse, in the JCJC program (Young Researchers or Young Heroes). It addresses the problem of deformation using real-time inverse finite element simulations in the robot control loop. In particular, we aim to achieve an optimal trade-off between the accuracy and speed of models to predict the interaction of soft tissues and needles.
- 3D-PRIAD (Jan. 2021 - Dec. 2022): Design of a multimodal and generic behavioral model for anomaly detection and quality monitoring during the 3D printing process. API project funded by ICube and coordinated by Cédric Bobenrieth, with the participation of Arash Habibi and Hyewon Seo.
- Exploitation of portable sensor network data for individual grip force profiling and predictive modeling of surgical skill evolution using artificial intelligence (Sept. 2015 - Jan. 2022) is an IDEX project (R LIU recruitment) led by Birgitta Dresp-Langley. The objective is to produce a generic surgical grip force profiling station combined with AI modeling capable of performing a predictive comparative analysis of the evolution of operators' skills during training for various image-guided tasks.
- BoPA Innovation Chair: development of digital technologies to "enhance" the surgeon through sight, speech and touch (June 2020 - ). The main objective of the project is to develop man-machine interaction tools in order to perform virtual surgery on digital twins before or during surgery. The BOPA Innovation Chair is funded by the AP/HP Foundation and the Fondation de l'Institut Mines Télécom through a sponsorship from Orange, Medtronic, Relyens, Boston Scientific, Caresyntax and Getinge.