Automatic lesions segmentation in ultrasound nonlinear imaging. - Adelaide Kissi; Stephane Cormier; Leandre Pourcelot; François Tranquart (ICIP (1), 2005)

Perfusion Analysis of Nonlinear Liver Ultrasound Images Based on Nonlinear Matrix Diffusion. - Adelaide Kissi; Stephane Cormier; Leandre Pourcelot; Aurore Bleuzen; François Tranquart (Scale-Space, 2005)

Contrast Enhanced Ultrasound Images Restoration. - Adelaide Albouy-Kissi; Stephane Cormier; Bertrand Y. Zavidovique; François Tranquart (ACIVS, 2011)

Perfusion quantification of contrast-enhanced ultrasound images based on coherence enhancing diffusion and competitive clustering. - Adelaide Albouy-Kissi; Stephane Cormier; François Tranquart (ICIP, 2012)

Disease tracking service in urban areas. - Stephane Cormier; Hacène Fouchal; Itheri Yahiaoui (IWCMC, 2012)

Knowledge Acquisition at the Time of Big Data. - Francis Rousseaux; Stephane Cormier (FedCSIS, 2016)

Towards a Generic Multi-agent Approach for Medical Image Segmentation. - Mohamed Tahar Bennai; Zahia Guessoum; Smaine Mazouzi; Stéphane Cormier; Mohamed Mezghiche (PRIMA, 2017)

Efficient Event Dissemination Using Bluetooth Protocol. - Kévin Thomas; Geoffrey Wilhelm; Hacène Fouchal; Stephane Cormier; Francis Rousseaux (I4CS, 2019)

Intelligent Transport System Based on Bluetooth. - Kévin Thomas; Hacène Fouchal; Stephane Cormier; Francis Rousseaux (Nets4Cars/Nets4Trains/Nets4Aircraft, 2019)

Towards the Integration of Agricultural Data from Heterogeneous Sources: Perspectives for the French Agricultural Context Using Semantic Technologies. - Shufan Jiang; Rafael Angarita; Raja Chiky; Stéphane Cormier; Francis Rousseaux (CAiSE Workshops, 2020)

Trajectory User Linking in C-ITS Data Analysis. - Juliet Chebet Moso; Stéphane Cormier; Hacène Fouchal; Cyril de Runz; John M. Wandeto (GLOBECOM, 2020)

C-ITS communications based on BLE messages. - Kévin Thomas; Hacène Fouchal; Stéphane Cormier; Francis Rousseaux (GLOBECOM, 2020)

Anomaly Detection on Roads Using C-ITS Messages. - Juliet Chebet Moso; Ramzi Boutahala; Brice Leblanc; Hacène Fouchal; Cyril de Runz; Stephane Cormier; John M. Wandeto (Nets4Cars/Nets4Trains/Nets4Aircraft, 2020)

A stochastic multi-agent approach for medical-image segmentation: Application to tumor segmentation in brain MR images. - Mohamed Tahar Bennai; Zahia Guessoum; Smaine Mazouzi; Stéphane Cormier; Mohamed Mezghiche (Artif. Intell. Medicine, 2020)

A Cooperative Approach Based on Local Detection of Similarities and Discontinuities for Brain MR Images Segmentation. - Mohamed Tahar Bennai; Smaine Mazouzi; Zahia Guessoum; Mohamed Mezghiche; Stéphane Cormier (J. Medical Syst., 2020)

Vers la Reconstruction des Connaissances Agricoles: Perspectives de Détection des Risques Naturels à partir de Sources de Données Hétérogènes. - Shufan Jiang; Rafael Angarita; Raja Chiky; Stéphane Cormier; Francis Rousseaux (EGC, 2021)

Road Speed Signatures from C-ITS messages. - Juliet Chebet Moso; Stéphane Cormier; Hacène Fouchal; Cyril de Runz; John Mwangi Wandeto; Hasnaâ Aniss (ICC, 2021)

Fine-tuning BERT-based models for Plant Health Bulletin Classification. - Shufan Jiang; Rafael Angarita; Stephane Cormier; Francis Rousseaux (CoRR, 2021)

Informativité dans les Contenus Textuels Twitter pour la Phytosurveillance Centrée sur l'observation des Agriculteurs. - Shufan Jiang; Rafael Angarita; Stéphane Cormier; Julien Orensanz; Francis Rousseaux (EGC, 2022)

ELSCP pour la détection d'anomalies dans les flux de données issues de l'agriculture. - Juliet Chebet Moso; Stéphane Cormier; Cyril de Runz; Hacène Fouchal; John Mwangi Wandeto (EGC, 2022)

Informativeness in Twitter Textual Contents for Farmer-centric Plant Health Monitoring. - Shufan Jiang; Rafael Angarita; Stéphane Cormier; Julien Orensanz; Francis Rousseaux (ICPRAI (2), 2022)

Apprentissage profond & systèmes multi-agents : Application à la segmentation d'images médicales (poster). - Mohamed Tahar Bennai; Lyse Gallay; Zahia Guessoum; Stéphane Cormier; Smaine Mazouzi (JFSMA, 2022)

ChouBERT: Pre-training French Language Model for Crowdsensing with Tweets in Phytosanitary Context. - Shufan Jiang; Rafael Angarita; Stéphane Cormier; Julien Orensanz; Francis Rousseaux (RCIS, 2022)

Named Entity Recognition for Monitoring Plant Health Threats in Tweets: a ChouBERT Approach. - Shufan Jiang; Rafael Angarita; Stéphane Cormier; Francis Rousseaux (UV, 2022)

ChouBERT : Pré-entraînement d'un modèle de langue française pour le Crowdsensing avec des Tweets dans un contexte phytosanitaire. - Shufan Jiang; Rafael Angarita; Stéphane Cormier; Julien Orensanz; Francis Rousseaux (INFORSID, 2023)

Improving text mining in plant health domain with GAN and/or pre-trained language model. - Shufan Jiang; Stéphane Cormier; Rafael Angarita; Francis Rousseaux (Frontiers Artif. Intell., 2023)

Multi-agent medical image segmentation: A survey. - Mohamed Tahar Bennai; Zahia Guessoum; Smaine Mazouzi; Stéphane Cormier; Mohamed Mezghiche (Comput. Methods Programs Biomed., 2023)

Detection of Atherosclerosis using Deep Learning. - Juliet Chebet Moso; Mohamed Tahar Bennai; Zahia Guessoum; Stéphane Cormier; Jasminka Hasic Telalovic (RIF, 2024)