Dr HENRIET Julien

Fiche personne

Coordonnées

UFC - IUT Belfort Montbéliard
Cours Louis Leprince Ringuet
25200 MONTBELIARD

03 81 66 20 65

Territoire

Franche-Comté

Statut

Enseignant-Chercheur

Affiliation

Institut FEMTO-ST (Franche-Comté Electronique Mécanique Thermique et Optique – Sciences et Technologies, UMR 6174) (FEMTO-ST)

Université de Franche-Comté (UFC)

Équipes/plateformes

Equipe UMR 6174 - Equipe "Informatique des Systèmes Complexes (DISC)"

Projets

Automatic Segmentation using artificial intelligence of Kidney tumours in children (ASKid)

2016 - Porteur du projet : Dr CHAUSSY Yann - Partenaire : Dr HENRIET Julien

Publications

Automation of Wilms' tumor segmentation by artificial intelligence.

Hild O, Berriet P, Nallet J, Salvi L, Lenoir M, Henriet J, Thiran JP, Auber F, Chaussy Y

Cancer Imaging. 2024 07 2;24(1):83

A Deep Learning-Based Automated Framework for Subpeak Designation on Intracranial Pressure Signals.

Legé D, Gergelé L, Prud'homme M, Lapayre JC, Launey Y, Henriet J

Sensors (Basel). 2023 09 12;23(18):

3D reconstruction of Wilms' tumor and kidneys in children: Variability, usefulness and constraints.

Chaussy Y, Vieille L, Lacroix E, Lenoir M, Marie F, Corbat L, Henriet J, Auber F

J Pediatr Urol. 2020 Aug 28;:

Fusion of multiple segmentations of medical images using OVASSION and Deep Learning methods: Application to CT-Scans for tumoral kidney.

Corbat L, Henriet J, Chaussy Y, Lapayre JC

Comput. Biol. Med.. 2020 Aug 8;124:103928

Conflict management in the fusion of complementary segmentations of deformed kidneys and nephroblastoma.

Corbat L, Henriet J, Lapayre JC

Med Image Anal. 2019 Dec 18;60:101629

Development of a 4D numerical chest phantom with customizable breathing.

Leni PE, Laurent R, Salomon M, Gschwind R, Makovicka L, Henriet J

Phys Med. 2016 Jun;32(6):795-800

Case-Based Reasoning adaptation of numerical representations of human organs by interpolation.

Henriet J, Leni PE, Laurent R, Salomon M

Expert Syst Appl. 2014 Feb 1;41(2):260-6.

Introduction of a combination vector to optimise the interpolation of numerical phantoms.

Henriet J, Chatonnay P

Expert Syst Appl. 2013 Feb 1;40(2):492-9.

DATA PROCESSING USING ARTIFICIAL NEURAL NETWORKS TO IMPROVE THE SIMULATION OF LUNG MOTION.

Laurent R, Salomon M, Henriet J, Sauget M, Gschwind R, Makovicka L

Biomed Eng-appl Basis Commun. 2012 Dec;24(6):563-71.

Perspective of the NEMOSIS platform in the context of dose reduction in imaging.

Laurent R, Gschwind R, Salomon M, Henriet J, Makovicka L

. 2012 Oct-dec;47(4):599-617.

Respiratory lung motion using an artificial neural network.

Laurent R, Henriet J, Salomon M, Sauget M, Gschwind R, Makovicka L

. 2012 Jul;21(5):929-34.

[Simulation of lung motions using an artificial neural network].

Laurent R, Henriet J, Salomon M, Sauget M, Nguyen F, Gschwind R, Makovicka L

Cancer Radiother. 2011 Apr;15(2):123-9

Feasibility study of a new platform based on the Case-Based Reasoning principles to efficiently search and store voxel phantoms

Henriet J, Farah J, Chebel-Morello B, Bopp M, Broggio D, Makovicka L

Radioprotection. 2010 Jan-mar;45(1):67-82

The future of new calculation concepts in dosimetry based on the Monte Carlo methods.

Makovicka L, Vasseur A, Sauget M, Martin E, Gschwind R, Henriet J, Salomon M

Radioprotection. 2009 Jan-mar;44(1):77-88

Towards an optimistic management of concurrency: A probabilistic study of the pilgrim protocol.

Garcia E, Guyennet H, Henriet J, Lapayre JC

Lect Notes Comput Sc. 2006;3865:51-60.

Modelization of a communication protocol for CSCW systems using coloured Petri nets.

Garcia E, Henriet J, Lapayre JC

Lect Notes Comput Sc. 2005;3675:14-21.

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