Pediatric Emergency Department Crowding: Survival Tree Clustering for Length of Patient Stay. - Féryal Windal; Karama Jeribi; Grégoire Ficheur; Samuel Degoul; Alain Martinot; Régis Beuscart; Jean-Marie Renard (MIE, 2014)

Towards a Model of Car Parking Assistance System Using Camera Networks: Slot Analysis and Communication Management. - Karim Hammoudi; Adnane Cabani; Mahmoud Melkemi; Halim Benhabiles; Féryal Windal (HPCC/SmartCity/DSS, 2018)

A Transfer Learning Exploited for Indexing Protein Structures from 3D Point Clouds. - Halim Benhabiles; Karim Hammoudi; Féryal Windal; Mahmoud Melkemi; Adnane Cabani (SaMBa@MICCAI, 2018)

A Comparative Study of 2 Resolution-Level LBP Descriptors and Compact Versions for Visual Analysis. - Karim Hammoudi; Mahmoud Melkemi; Fadi Dornaika; Halim Benhabiles; Féryal Windal; Oussama Taoufik (MUE/FutureTech, 2018)

Protein Shape Retrieval Contest. - Florent Langenfeld; Apostolos Axenopoulos; Halim Benhabiles; Petros Daras; Andrea Giachetti 001; Xusi Han; Karim Hammoudi; Daisuke Kihara; Tuan Manh Lai; Haiguang Liu; Mahmoud Melkemi; Stelios K. Mylonas; et al. (3DOR@Eurographics, 2019)

Image-Based Ciphering of Video Streams and Object Recognition for Urban and Vehicular Surveillance Services. - Karim Hammoudi; Mohammed AbuTaha; Halim Benhabiles; Mahmoud Melkemi; Féryal Windal; Safwan El Assad; Audrey Queudet (ICICT (2), 2019)

Deep Learning based Detection of Hair Loss Levels from Facial Images. - Halim Benhabiles; Karim Hammoudi; Ziheng Yang; Féryal Windal; Mahmoud Melkemi; Fadi Dornaika; Ignacio Arganda-Carreras (IPTA, 2019)

SHREC 2020: Multi-domain protein shape retrieval challenge. - Florent Langenfeld; Yuxu Peng; Yu-Kun Lai; Paul L. Rosin; Tunde Aderinwale; Genki Terashi; Charles Christoffer; Daisuke Kihara; Halim Benhabiles; Karim Hammoudi; Adnane Cabani; Féryal Windal; et al. (Comput. Graph., 2020)

SHREC 2021: Surface-based Protein Domains Retrieval. - Florent Langenfeld; Tunde Aderinwale; Charles Christoffer; Woong-Hee Shin; Genki Terashi; Xiao Wang 004; Daisuke Kihara; Halim Benhabiles; Karim Hammoudi; Adnane Cabani; Féryal Windal; Mahmoud Melkemi; et al. (3DOR, 2021)

A Cervix Detection Driven Deep Learning Approach for Cow Heat Analysis from Endoscopic Images. - Ruiwen He; Halim Benhabiles; Féryal Windal; Gaël Even; Christophe Audebert; Dominique Collard; Abdelmalik Taleb-Ahmed (ICIP, 2022)

A Coarse-to-Fine Segmentation Methodology Based on Deep Networks for Automated Analysis of Cryptosporidium Parasite from Fluorescence Microscopic Images. - Ziheng Yang; Halim Benhabiles; Féryal Windal; Jérôme Follet; Anne-Charlotte Leniere; Dominique Collard (MOVI@MICCAI, 2022)

A CNN-based methodology for cow heat analysis from endoscopic images. - Ruiwen He; Halim Benhabiles; Féryal Windal; Gaël Even; Christophe Audebert; Agathe Decherf; Dominique Collard; Abdelmalik Taleb-Ahmed (Appl. Intell., 2022)

A generalized deep learning-based framework for assistance to the human malaria diagnosis from microscopic images. - Ziheng Yang; Halim Benhabiles; Karim Hammoudi; Féryal Windal; Ruiwen He; Dominique Collard (Neural Comput. Appl., 2022)

Histopathology Image Embedding Based on Foundation Models Features Aggregation for DLBCL Patient Treatment Response Prediction. - Bilel Guetarni; Féryal Windal; Halim Benhabiles; Mahfoud Chaibi; Romain Dubois; Emmanuelle Leteurtre; Dominique Collard (MOVI@MICCAI, 2024)

Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans. - Fares Bougourzi; Féryal Windal Moulaï; Halim Benhabiles; Fadi Dornaika; Abdelmalik Taleb-Ahmed (CoRR, 2024)

Histopathology image embedding based on foundation models features aggregation for patient treatment response prediction. - Bilel Guetarni; Féryal Windal; Halim Benhabiles; Mahfoud Chaibi; Romain Dubois; Emmanuelle Leteurtre; Dominique Collard (CoRR, 2024)

A Vision Transformer-Based Framework for Knowledge Transfer From Multi-Modal to Mono-Modal Lymphoma Subtyping Models. - Bilel Guetarni; Féryal Windal; Halim Benhabiles; Marianne Petit; Romain Dubois; Emmanuelle Leteurtre; Dominique Collard (IEEE J. Biomed. Health Informatics, 2024)