Designing medical knowledge-based system from patterns. - Marie Beurton-Aimar; Benoît Leblanc (CATA, 1999)

Medical KBS with Patterns. - Marie Beurton-Aimar (ECOOP Workshop for PhD Students in OO Systems, 1999)

Using Patterns into the Conception of a Medical KBS. - Marie Beurton-Aimar (ECOOP Workshops, 1999)

Classification des modes élémentaires. - Sabine Pérès; Marie Beurton-Aimar; Jean-Pierre Mazat (Tech. Sci. Informatiques, 2007)

Multi-Agent Model for Simulation at the Subcellular Level. - Marie Beurton-Aimar; Nicolas Parisey; François Vallée (ECAL (1), 2009)

Simulation of mitochondrial metabolism using multi-agents system - Charles Lales; Nicolas Parisey; Jean-Pierre Mazat; Marie Beurton-Aimar (CoRR, 2009)

Identification of Functional Hubs through Metabolic Networks. - Marie Beurton-Aimar; Nicolas Parisey; François Vallée; Sophie Colombié (ALIFE, 2010)

ACoM: A classification method for elementary flux modes based on motif finding. - Sabine Pérès; François Vallée; Marie Beurton-Aimar; Jean-Pierre Mazat (Biosyst., 2011)

Comparison between elementary flux modes analysis and 13C-metabolic fluxes measured in bacterial and plant cells. - Marie Beurton-Aimar; Bertrand Beauvoit; Antoine Monier; François Vallée; Martine Dieuaide-Noubhani; Sophie Colombié (BMC Syst. Biol., 2011)

Study of CNN Based Classification for Small Specific Datasets. - Huu Ton Le; Thierry Urruty; Marie Beurton-Aimar; Thi Phuong Nghiem; Hoang-Tung Tran; Romain Verset; Marie Ballère; Hien Phuong Lai; Muriel Visani (ACIIDS (Extended Posters), 2018)

Landmarks Detection by Applying Deep Networks. - Van Linh Le; Marie Beurton-Aimar; Akka Zemmari; Nicolas Parisey (MAPR, 2018)

Heritage Image Classification by Convolution Neural Networks. - Manh-Tu Vu; Marie Beurton-Aimar; Van Linh Le (MAPR, 2018)

Papy-S-Net: A Siamese Network to match papyrus fragments. - Antoine Pirrone; Marie Beurton-Aimar; Nicholas Journet (HIP@ICDAR, 2019)

3DSiameseNet to Analyze Brain MRI. - Cecilia Ostertag; Marie Beurton-Aimar; Thierry Urruty (CoRR, 2019)

Using Graph Neural Networks to Reconstruct Ancient Documents. - Cecilia Ostertag; Marie Beurton-Aimar (ICPR Workshops (7), 2020)

Predicting Brain Degeneration with a Multimodal Siamese Neural Network *. - Cecilia Ostertag; Marie Beurton-Aimar; Muriel Visani; Thierry Urruty; Karell Bertet (IPTA, 2020)

Predicting Brain Degeneration with a Multimodal Siamese Neural Network. - Cecilia Ostertag; Marie Beurton-Aimar; Muriel Visani; Thierry Urruty; Karell Bertet (CoRR, 2020)

Automated landmarking for insects morphometric analysis using deep neural networks. - Van Linh Le; Marie Beurton-Aimar; Akka Zemmari; Alexia Marie; Nicolas Parisey (Ecol. Informatics, 2020)

Matching ostraca fragments using a siamese neural network. - Cecilia Ostertag; Marie Beurton-Aimar (Pattern Recognit. Lett., 2020)

Approche de traitement des logs pour la prédiction d'erreurs critiques. - Myriam Lopez; Marie Beurton-Aimar; Gayo Diallo; Sofian Maabout (EGC, 2021)

Multitask Multi-database Emotion Recognition. - Manh-Tu Vu; Marie Beurton-Aimar; Serge Marchand (ICCVW, 2021)

IHR-NomDB: The Old Degraded Vietnamese Handwritten Script Archive Database. - Manh-Tu Vu; Van Linh Le; Marie Beurton-Aimar (ICDAR (3), 2021)

Log Data Preparation for Predicting Critical Errors Occurrences. - Myriam Lopez; Marie Beurton-Aimar; Gayo Diallo; Sofian Maabout (WorldCIST (2), 2021)

Image based species identification of Globodera quarantine nematodes using computer vision and deep learning. - Romain Thevenoux; Van Linh Le; Heloïse Villessèche; Alain Buisson; Marie Beurton-Aimar; Eric Grenier; Laurent Folcher; Nicolas Parisey (Comput. Electron. Agric., 2021)

Multitask Multi-database Emotion Recognition. - Manh-Tu Vu; Marie Beurton-Aimar (CoRR, 2021)

Self-supervised deep metric learning for ancient papyrus fragments retrieval. - Antoine Pirrone; Marie Beurton-Aimar; Nicholas Journet (Int. J. Document Anal. Recognit., 2021)

A simple yet effective approach for log based critical errors prediction. - Myriam Lopez; Marie Beurton-Aimar; Gayo Diallo; Sofian Maabout (Comput. Ind., 2022)

Graph Transformer for Physical Rehabilitation Evaluation. - Kévin Réby; Idriss Dulau; Guillaume Dubrasquet; Marie Beurton-Aimar (FG, 2023)

Learning to focus on region-of-interests for pain intensity estimation. - Manh-Tu Vu; Marie Beurton-Aimar (FG, 2023)

Ensuring a connected structure for Retinal Vessels Deep-Learning Segmentation. - Idriss Dulau; Catherine Helmer; Cécile Delcourt; Marie Beurton-Aimar (ICCV (Workshops), 2023)

Stylistic Similarities in Greek Papyri Based on Letter Shapes: A Deep Learning Approach. - Isabelle Marthot-Santaniello; Manh-Tu Vu; Olga Serbaeva; Marie Beurton-Aimar (ICDAR Workshops (1), 2023)

PapyTwin net: a Twin network for Greek letters detection on ancient Papyri. - Manh-Tu Vu; Marie Beurton-Aimar (HIP@ICDAR, 2023)

Long-term cognitive decline prediction based on multi-modal data using Multimodal3DSiameseNet: transfer learning from Alzheimer's disease to Parkinson's disease. - Cecilia Ostertag; Muriel Visani; Thierry Urruty; Marie Beurton-Aimar (Int. J. Comput. Assist. Radiol. Surg., 2023)

VAVnets: Retinal Vasculature Segmentation in Few-Shot Scenarios. - Idriss Dulau; Benoit Recur; Catherine Helmer; Cécile Delcourt; Marie Beurton-Aimar (CIARP (2), 2024)

ViT-ED: Transformer Network for Image Similarity Measurement. - Manh-Tu Vu; Marie Beurton-Aimar (ICDAR (4), 2024)

VNR-AV: Structural Post-processing for Retinal Arteries and Veins Segmentation. - Idriss Dulau; Benoit Recur; Catherine Helmer; Cécile Delcourt; Marie Beurton-Aimar (OMIA@MICCAI, 2024)

Multi-modal Siamese Ensemble for Neovascular AMD Classification and Prediction from Optical Coherence Tomography. - Sebastien Richard; Marie Beurton-Aimar (DIAMOND/MARIO@MICCAI, 2024)