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Julien Henriet
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- affiliation: Université de Franche-Comté, Besançon, France
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2020 – today
- 2024
- [c19]Daniel Soto Forero
, Marie-Laure Betbeder
Ensemble Stacking Case-Based Reasoning for Regression. ICCBR 2024: 159-174 - [c18]Daniel Soto-Forero
The Intelligent Tutoring System AI-VT with Case-Based Reasoning and Real Time Recommender Models. ICCBR 2024: 191-205 - 2023
- [j12]Donatien Legé, Laurent Gergelé, Marion Prud'homme, Jean-Christophe Lapayre
A Deep Learning-Based Automated Framework for Subpeak Designation on Intracranial Pressure Signals. Sensors 23(18): 7834 (2023) - [c17]Mohamed Limame, Julien Henriet, Christophe Lang, Nicolas Marilleau:
Gestion des connaissances partagées par des agents à ressources et connectivité limitées : étude, analyse et expérimentation (présentation courte). JFSMA 2023: 107-116 - 2022
- [c16]Justine Duck, Romain Schaller, Frédéric Auber, Yann Chaussy, Julien Henriet, Jean Lieber, Emmanuel Nauer, Henri Prade:
Analogy-Based Post-treatment of CNN Image Segmentations. ICCBR 2022: 318-332 - [c15]Bruno Perez, Christophe Lang, Julien Henriet, Laurent Philippe, Frédéric Auber:
Architecture SMA/RàPC enrichie d'outils d'aide à la décision pour prédire les risques en chirurgie (poster). JFSMA 2022: 149 - 2021
- [j11]Bruno Perez, Christophe Lang, Julien Henriet, Laurent Philippe
Risk prediction in surgery using case-based reasoning and agent-based modelization. Comput. Biol. Medicine 128: 104040 (2021) - [j10]Bruno Perez, Christophe Lang, Julien Henriet, Laurent Philippe, Frédéric Auber:
A cluster-based approach to predict serious adverse events in surgery. Expert Syst. Appl. 184: 115506 (2021) - 2020
- [j9]Lisa Corbat
Fusion of multiple segmentations of medical images using OV2ASSION and Deep Learning methods: Application to CT-Scans for tumoral kidney. Comput. Biol. Medicine 124: 103928 (2020) - [j8]Lisa Corbat
A fusion method based on Deep Learning and Case-Based Reasoning which improves the resulting medical image segmentations. Expert Syst. Appl. 147: 113200 (2020) - [j7]Lisa Corbat
Conflict management in the fusion of complementary segmentations of deformed kidneys and nephroblastoma. Medical Image Anal. 60 (2020) - [c14]Florent Marie, Julien Henriet, Jean-Christophe Lapayre:
A New Adaptation Phase for Thresholds in a CBR System Associated to a Region Growing Algorithm to Segment Tumoral Kidneys. ICCBR 2020: 97-111 - [i1]Bruno Perez, Julien Henriet, Christophe Lang, Laurent Philippe:
Multi-agent model for risk prediction in surgery. CoRR abs/2005.10738 (2020)
2010 – 2019
- 2019
- [j6]Florent Marie
Segmentation of deformed kidneys and nephroblastoma using Case-Based Reasoning and Convolutional Neural Network. Expert Syst. Appl. 127: 282-294 (2019) - [c13]Bruno Perez, Christophe Lang, Julien Henriet, Laurent Philippe:
Modèle multi-agents pour la prédiction des risques en chirurgie. JFSMA 2019: 171-180 - 2018
- [c12]Julien Henriet, Françoise Greffier
AI-VT: An Example of CBR that Generates a Variety of Solutions to the Same Problem. ICCBR 2018: 124-139 - [c11]Florent Marie, Lisa Corbat
Segmentation of Kidneys Deformed by Nephroblastoma Using Case-Based Reasoning. ICCBR 2018: 233-248 - 2014
- [j5]Julien Henriet, Pascal Chatonnay
An iterative precision vector to optimise the CBR adaptation of EquiVox. Eng. Appl. Artif. Intell. 35: 158-163 (2014) - [j4]Julien Henriet, Pierre-Emmanuel Leni, Rémy Laurent, Michel Salomon
Case-Based Reasoning adaptation of numerical representations of human organs by interpolation. Expert Syst. Appl. 41(2): 260-266 (2014) - [j3]Julien Henriet:
Collaborative CBR-based Agents in the Preparation of Varied Training Lessons. Int. J. Comput. Sci. Sport 13(2) (2014) - 2013
- [j2]Julien Henriet, Pascal Chatonnay:
Introduction of a combination vector to optimise the interpolation of numerical phantoms. Expert Syst. Appl. 40(2): 492-499 (2013) - 2012
- [j1]Rémy Laurent, Julien Henriet, Michel Salomon
Respiratory lung motion using an artificial neural network. Neural Comput. Appl. 21(5): 929-934 (2012) - [c10]Julien Henriet, Pierre-Emmanuel Leni, Rémy Laurent, Ana Roxin
Adapting Numerical Representations of Lung Contours Using Case-Based Reasoning and Artificial Neural Networks. ICCBR 2012: 137-151 - 2011
- [c9]Marc Sauget, Julien Henriet, Michel Salomon
Large Datasets: A Mixed Method to Adapt and Improve Their Learning by Neural Networks Used in Regression Contexts. EANN/AIAI (1) 2011: 182-191 - 2010
- [c8]Marc Sauget, Rémy Laurent, Julien Henriet, Michel Salomon
Efficient Domain Decomposition for a Neural Network Learning Algorithm, Used for the Dose Evaluation in External Radiotherapy. ICANN (1) 2010: 261-266
2000 – 2009
- 2006
- [c7]Éric Garcia, Julien Henriet, Jean-Christophe Lapayre:
Validation of a Protocol for Communication Management in CSCW Systems Using a Coloured-Petri Net Modelization. PDP 2006: 272-275 - 2005
- [c6]Éric Garcia, Julien Henriet, Jean-Christophe Lapayre:
Modelization of a Communication Protocol for CSCW Systems Using Coloured Petri Nets. CDVE 2005: 14-21 - [c5]Éric Garcia, Hervé Guyennet, Julien Henriet, Jean-Christophe Lapayre:
Towards an Optimistic Management of Concurrency: A Probabilistic Study of the Pilgrim Protocol. CSCWD (Selected papers) 2005: 51-60 - [c4]Éric Garcia, Julien Henriet, Jean-Christophe Lapayre:
Study of an optimistic protocol for concurrency management in CSCW. CSCWD (1) 2005: 128-133 - [c3]Fabien Hantz, Julien Henriet:
Multimedia Flow Transmission Policies for Collaborative Platform based on SOAP. DFMA 2005: 32-38 - [c2]Éric Garcia, Julien Henriet, Jean-Christophe Lapayre:
Comparison of optimistic and pessimistic pilgrims for concurrency management in CSCW through a probabilistic study. ITRE 2005: 307-311 - 2004
- [c1]Éric Garcia, Julien Henriet, Jean-Christophe Lapayre:
Comparison of Continuous Flow Transmission Strategies over a Distributed Platform Based on Soap. IEEE SCC 2004: 664-669
Coauthor Index
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