Julien Henriet

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 17

Top Topics

Convolutional Neural Network

Case Base Reasoning

Image Segmentations

Top Venues

Expert Syst. Appl.

Comput. Biol. Medicine

Publications

Daniel Soto-Forero, Simha Ackermann, Marie-Laure Betbeder, Julien Henriet
The Intelligent Tutoring System AI-VT with Case-Based Reasoning and Real Time Recommender Models. ICCBR (2024)
Daniel Soto Forero, Marie-Laure Betbeder, Julien Henriet
Ensemble Stacking Case-Based Reasoning for Regression. ICCBR (2024)
Donatien Legé, Laurent Gergelé, Marion Prud'homme, Jean-Christophe Lapayre, Yoann Launey, Julien Henriet
A Deep Learning-Based Automated Framework for Subpeak Designation on Intracranial Pressure Signals. Sensors 23 (18) (2023)
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)
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)
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)
Bruno Perez, Christophe Lang, Julien Henriet, Laurent Philippe, Frédéric Auber
Risk prediction in surgery using case-based reasoning and agent-based modelization. Comput. Biol. Medicine 128 (2021)
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 (2021)
Lisa Corbat, Mohammad Nauval, Julien Henriet, Jean-Christophe Lapayre
A fusion method based on Deep Learning and Case-Based Reasoning which improves the resulting medical image segmentations. Expert Syst. Appl. 147 (2020)
Lisa Corbat, Julien Henriet, Jean-Christophe Lapayre
Conflict management in the fusion of complementary segmentations of deformed kidneys and nephroblastoma. Medical Image Anal. 60 (2020)
Bruno Perez, Julien Henriet, Christophe Lang, Laurent Philippe
Multi-agent model for risk prediction in surgery. CoRR (2020)
Lisa Corbat, Julien Henriet, Yann Chaussy, Jean-Christophe Lapayre
ASSION and Deep Learning methods: Application to CT-Scans for tumoral kidney. Comput. Biol. Medicine 124 (2020)
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)
Florent Marie, Lisa Corbat, Yann Chaussy, Thibault Delavelle, Julien Henriet, Jean-Christophe Lapayre
Segmentation of deformed kidneys and nephroblastoma using Case-Based Reasoning and Convolutional Neural Network. Expert Syst. Appl. 127 (2019)
Bruno Perez, Christophe Lang, Julien Henriet, Laurent Philippe
Modèle multi-agents pour la prédiction des risques en chirurgie. JFSMA (2019)
Julien Henriet, Françoise Greffier
AI-VT: An Example of CBR that Generates a Variety of Solutions to the Same Problem. ICCBR (2018)
Florent Marie, Lisa Corbat, Thibault Delavelle, Yann Chaussy, Julien Henriet, Jean-Christophe Lapayre
Segmentation of Kidneys Deformed by Nephroblastoma Using Case-Based Reasoning. ICCBR (2018)
Julien Henriet, Pascal Chatonnay, Pierre-Emmanuel Leni
An iterative precision vector to optimise the CBR adaptation of EquiVox. Eng. Appl. Artif. Intell. 35 (2014)
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) (2014)
Julien Henriet
Collaborative CBR-based Agents in the Preparation of Varied Training Lessons. Int. J. Comput. Sci. Sport 13 (2) (2014)
Julien Henriet, Pascal Chatonnay
Introduction of a combination vector to optimise the interpolation of numerical phantoms. Expert Syst. Appl. 40 (2) (2013)
Rémy Laurent, Julien Henriet, Michel Salomon, Marc Sauget, Régine Gschwind, Libor Makovicka
Respiratory lung motion using an artificial neural network. Neural Comput. Appl. 21 (5) (2012)
Julien Henriet, Pierre-Emmanuel Leni, Rémy Laurent, Ana Roxin, Brigitte Chebel-Morello, Michel Salomon, Jad Farah, David Broggio, Didier Franck, Libor Makovicka
Adapting Numerical Representations of Lung Contours Using Case-Based Reasoning and Artificial Neural Networks. ICCBR (2012)
Marc Sauget, Julien Henriet, Michel Salomon, Sylvain Contassot-Vivier
Large Datasets: A Mixed Method to Adapt and Improve Their Learning by Neural Networks Used in Regression Contexts. EANN/AIAI (1) (2011)
Marc Sauget, Rémy Laurent, Julien Henriet, Michel Salomon, Régine Gschwind, Sylvain Contassot-Vivier, Libor Makovicka, Charles Soussen
Efficient Domain Decomposition for a Neural Network Learning Algorithm, Used for the Dose Evaluation in External Radiotherapy. ICANN (1) (2010)
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)
Fabien Hantz, Julien Henriet
Multimedia Flow Transmission Policies for Collaborative Platform based on SOAP. DFMA (2005)
Éric Garcia, Julien Henriet, Jean-Christophe Lapayre
Study of an optimistic protocol for concurrency management in CSCW. CSCWD (1) (2005)
Éric Garcia, Julien Henriet, Jean-Christophe Lapayre
Comparison of optimistic and pessimistic pilgrims for concurrency management in CSCW through a probabilistic study. ITRE (2005)
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)
Éric Garcia, Julien Henriet, Jean-Christophe Lapayre
Modelization of a Communication Protocol for CSCW Systems Using Coloured Petri Nets. CDVE (2005)
Éric Garcia, Julien Henriet, Jean-Christophe Lapayre
Comparison of Continuous Flow Transmission Strategies over a Distributed Platform Based on Soap. IEEE SCC (2004)