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- henriet [at] femto-st.fr
- DISC site UFR-ST (Campus La Bouloie, Besançon)
16 route de Gray CS11809
25030 BESANCON cedex
Distributed Artificial Intelligence, Case-Based Reasoning, Multi-Agent Systems, Medical Imaging.
Research topics :
I study the process of adaptation in Distributed Case-Based Reasoning Systems, interpolations and knowledge models. Hence, I am also interested in other tools of Artificial Intelligence : Multi-Agent Systems, genetic Algorithms, Artificial Neural Networks, Knowledge models
The main application domain is medical imaging.
Segmentation fusion using Case-Based Reasoning and Deep Learning,
Mohammad Nauval, Master 2 Research in Computer science, Univ. Franche-Comté, February to June 2019.
MASSAI: Modeling Aids for Safe Surgery using Artifial Intelligence
FEDER project and Funds for development of new numerical use, september 2019 to august 2022,
Project manager, UFC FEMTO-ST DISC, CHRUB, Aprogsys.
Knowledge management in order to improve image segmentation using artificial intelligence tools,
Yann Chaussy, thesis at Univ. Bourgogne-Franche-Comté, december 2017.
Collaboration between agents using case-based reasoning,
Mohamed Amine Limame, thesis of Univ. Pierre et Marie Curie, december 2017.
Construction of 3D tumoral kidneys using distributed artificial intelligence,
Lisa Corbat, thesis of Univ. Bourgogne-Franche-Comté, october 2017.
Case-based reasoning system for growing region segmentation,
Thibault Delavelle, Master 2 IPAC, Univ. of Lorraine, February to September 2017.
Medical image segmentation using Deep Learning - Study and implementation,
Lisa Corbat, Master 2 Research in Computer science, Univ. Franche-Comté, February to June 2017.
SAIAD: Automatic segmentation of kidneys with cancer tumors using Distributed Artificial Intelligence tools
INTERREG project, january 2017 to may 2020,
Project manager, FEMTO-ST DISC, CHRUB, Ido-In, EPFL, CFI.
Concurrency management of solutions provided by distributed artificial intelligence tools for medical image segmentation,
Florent Marie, thesis of Univ. Bourgogne-Franche-Comté, supported by Communauté d'Agglomération du Grand Besançon, october 2016 - December 2019.
Prediction of surgery risks through a modelisation of the surgery space, medical staff and tools,
Bruno Perez, thesis of Univ. Bourgogne-Franche-Comté, october 2016.
Integration of connected tools into an intelligent platform in order observe, diagnose and predict patient's health,
Réda Aazmi, engineer student of ENSMM, juin 2016 to december 2016.
Predictive modelisation in order to evaluante risks in surgery,
Bruno Perez, Master 2 computer science, Université de Franche-Comté, September 2015 - June 2016.
Medical imaging application in order to improve kidney cancer diagnosis,
Nizar Ouardiane, Thomas Pradal, Master 2 Computer science, Université de Franche-Comté, September 2015 - February 2016.
Medical image segmentation,
Olivier Boissard, Antoine Lavier, Master 2 Computer science, Université de Franche-Comté, September 2015 - February 2016.
Multi-agent based simulator for radiotherapy,
Emilie Greussard, Karla Breschi, Ronnie Pottaya, Master 2 computer science, Université de Franche-Comté, September 2013 - February 2014.
Construction of breathing 3D personalized phantoms for radiotherapy : THORAX-4D,
INSERM Physique Cancer (ANR Tecsan) project, December 2011 - December 2013,
Project manager, IRMA (Université de Franche-Comté) / Radiotherapy Dept of CHU of Besançon.
Lung motion simulation through artificial neural networks,
Rémy Laurent, thesis of Université de Franche-Comté September 2008 - September 2011.