Publications
International Journals:
Trésor Koffi,Youssef Mourchid, Mohammed Hindawi, Yohan Dupuis, DistillH-Mamba : A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection. IEEE Sensors Journal (Q1) (2025). [code de l’article]
Trésor Koffi,Youssef Mourchid, Mohammed Hindawi, Yohan Dupuis, Impact Detection in Fall Events : Leveraging Spatio-temporal Graph Convolutional Networks and Recurrent Neural Networks Using 3D Skeleton Data. Journal of Healthcare Informatics Research (Q1) p. 1-37. [code de l’article]
Fati Oiza Salami, Youssef Mourchid, Muhammad Muzammel, Alice Othmani,. Vision Mamba-Based Dual-phase Self-supervised Framework for Neonatal Jaundice Diagnosis. Journal of Image and Graphics 13.6 (2025).
Fati Oiza Salami, Muhammad Muzammel, Youssef Mourchid, Alice Othmani, Artificial Intelligence non-invasive methods for neonatal jaundice detection : A review. Artificial Intelligence in Medicine (Q1), (2025) : p. 103088.
M. Chekroun, Y. Mourchid, I. Bessières, A. Lalande. "Deep Learning Based on EfficientNet for Multiorgan Segmentation of Thoracic Structures on a 0.35 T MR-Linac Radiation Therapy System". Algorithms 2023, 16(12), 564. [PDF]
Y. Mourchid, R. Slama. "D-STGCNT: A Dense Spatio-Temporal Graph Conv-GRU Network based on transformer for assessment of patient physical rehabilitation". Computers in Biology and Medicine, 165, 107420 (2023). [PDF]
Y. Mourchid, M. Donias, Y. Berthoumieu, M. Najim. "SPDGAN: a generative adversarial network based on SPD manifold learning for automatic image colorization". Neural Computing and Applications, 1-17 (2023). [PDF]
Y. Mourchid, B. Renoust, O.Roupin, L.Văn, H.Cherifi, & M.El Hassouni. "Movienet: a movie multilayer network model using visual and textual semantic cues". Applied Network Science (2019), 4(1), 1-37. [PDF]
Y. Mourchid, M. El Hassouni, H. Cherifi. "A general framework for complex network-based image segmentation". Multimedia Tools and Applications (2019) : 1-26. [PDF]
Y. Mourchid, M. El Hassouni, H. Cherifi. "Image segmentation based on community detection approach". The International Journal of Computer Information Systems and Industrial Management Applications. ISSN, 2150-7988 (2016). [PDF]
International Conferences:
Zrimek, Zakariae, Youssef Mourchid, and Mohammed EL Hassouni. Knowledge Distillation with Enhanced Lightweight STGCN for Gait Disorders Recognition. 2025 12th International Conference on Wireless Networks and Mobile Communications (WINCOM). IEEE, 2025.
Fati Oiza Salami, Youssef Mourchid, Muhammad Muzammel, Alice Othmani, Non-Invasive Neonatal Jaundice Detection via Two-Phase Self-Supervised Learning and Vision Transformer. In 2025 Fourteenth International Conference on Image Processing, Theory, Tools & Applications (IPTA) (pp. 1-6). IEEE.
Zakariae Zrimek, Youssef Mourchid, Mohammed El Hassouni, Cross-Graph Relational Knowledge Distillation with Lightweight ST-GCN for Gait Disorder Recognition. In 2025 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.
Aafaf Ridouan, Amine Bohi, Youssef Mourchid, Improving pain classification using spatiotemporal deep learning approaches with facial expressions. Seventeenth International Conference on Machine Vision (ICMV 2024). Vol. 13517. SPIE, 2025.
Trésor Koffi,Youssef Mourchid, Mohammed Hindawi, Yohan Dupuis, An improved 3D skeletons UP-Fall dataset : enhancing data quality for efficient impact fall detection. Seventeenth International Conference on Machine Vision (ICMV 2024). Vol. 13517. SPIE, 2025.[code de l’article]
Eya Mhedhbi,Youssef Mourchid, Alice Othmani, Leveraging Auto-distillation and Generative Self-supervised Learning in Residual Graph Transformers for Enhanced Recommender Systems. International Conference on Computational Data and Social Networks. Singapore : Springer Nature Singapore, 2024.
Y. Mourchid, R. Slama. "MR-STGN: Multi-Residual Spatio Temporal Graph Network using Attention Fusion for Patient Action Assessment". The IEEE International Workshop on MultiMedia Signal Processing (MMSP 2023).
TY. Koffi, Y. Mourchid, M. Hindawi, Y. Dupuis. "Machine Learning and Feature Ranking for Impact Fall Detection Event Using Multisensor Data". The IEEE International Workshop on MultiMedia Signal Processing (MMSP 2023). [code de l’article]
H. Benallal, Y. Mourchid, I. Abouelaziz, A. Al Falou, H. Tairi, J. Riffi, M. El Hassouni, "A new approach for removing point cloud outliers using box plot" Pattern Recognition and Tracking XXXIII 12101, 63-69 (2022) [PDF]
H. Benallal, I. Abouelaziz, Y. Mourchid, A. Al Falou, H. Tairi, J. Riffi, M. El Hassouni, "A new approach for removing point cloud outliers using the standard score" Pattern Recognition and Tracking XXXIII 12101, 56-62 (2022) [PDF]
Y. Mourchid, M. Donias, Y.Berthoumieu, "Automatic Image Colorization based on Multi-Discriminators Generative Adversarial Networks ", 28th European Signal Processing Conference (2021) [PDF]
M. Lafhel, H. Cherifi, B. Renoust, M. El Hassouni, and Y. Mourchid, "Movie Script Similarity using Multilayer Network Portrait Divergence ", In the 9th International Conference on Complex Networks and their Applications (2020). [PDF]
Y. Mourchid, M. Donias, Y.Berthoumieu, "Dual Color-Image Discriminators Adversarial Networks for Generating Artificial-SAR Colorized Images from SENTINEL-1 Images⋆", MACLEAN ECML/PKDD (2020) [PDF]
Y. Mourchid, B. Renoust, M. El Hassouni, H. Cherifi , "Multilayer Network Model of Movie Script", In International Conference on Complex Networks and their Applications (pp. 782-796). Springer, Cham (2018, December). [PDF]
Y. Mourchid, M. El Hassouni, H. Cherifi, "Image Segmentation by Deep Community Detection Approach", In International Symposium on Ubiquitous Networking (pp. 607-618). Springer, Cham (2017, May). [PDF]
Y. Mourchid, M. El Hassouni, H. Cherifi, "An image segmentation algorithm based on community detection", In International Workshop on Complex Networks and their Applications (pp. 821-830). Springer, Cham (2016, November). [PDF]
Y. Mourchid, M. El Hassouni, H. Cherifi, "A new image segmentation approach using community detection algorithms", 15th International Conference on Intelligent Systems Design and Applications (ISDA) (pp. 648-653). IEEE (2015). [PDF]
Y. Mourchid, M. El Hassouni, "Comparative study between different bases of transformation for compressive sensing of images ", 2015 Intelligent Systems and Computer Vision, ISCV (2015). [PDF]
National Conferences:
Trésor Koffi,Youssef Mourchid, Mohammed Hindawi, Yohan Dupuis, Vers une approche multimodale basée sur l’apprentissage automatique et profond pour la détection d’impact pendant la chute. ORASIS 2025, Le Croisic (France).
Heni Lachouak, Youssef Mourchid, Yuehua Ding, Pierre-Grégoire Guinot Bi-LSTM for Non-Invasive Forecasting of Hypotension Using Photoplethysmography Signals. In The France’s International Conference on Complex Systems. 2025
M. Lafhel, Y. Mourchid, H. Cherifi, B. Renoust, M. EL Hassouni, "Assessing movie similarity using a multilayer network model", French Regional Conference on Complex Systems, May 2021, DIJON, France.
M. Lafhel, Y. Mourchid, H. Cherifi, B. Renoust, M. EL Hassouni, "Ranking movies using multilayer networks", The 10th Conference on Network Modeling and Analysis November 06 - 08, 2019 Dijon, France, MARAMI 2019.
Y. Mourchid, M. El Hassouni, H. Cherifi, "La Segmentation des Images par Les Reseaux Complexes", Journee URAC-Maroc, Rabat, 28 Novembre 2015.
Projects :
2025–present – Research project: NUM-e.Care, led by University Bourgogne Europe (UBE) in collaboration with CHU Dijon, CGFL, Santenov, Dijon Métropole, CESI and ESEO; project selected in the France 2030 initiative “Compétences et métiers d’avenir”; Role: Member.
Sep 2023–Sep 2028 – Research project: Citizen-oriented Artificial Intelligence training for a Responsible Education (CAIRE); project selected in the France 2030 initiative “Compétences et métiers d’avenir”; Role: Member.
Supervising
Nov 2024–present – Rakshit SONI, Improving pedestrian intention understanding for autonomous driving through collaborative perception; supervision rate: 40%; funding: ANRT CIFRE / Stellantis; scientific output: 1 article (international journal, submitted).
Feb 2024–present –Fati SALAMI, Non-invasive diagnosis of neonatal jaundice using deep learning; funding: Tertiary Education Trust Fund (TETFund) & University Paris-Est Créteil (UPEC); scientific output: 3 publications (2 international journals, 1 international conference).
Nov 2022– Dec 2025 : Yao Trésor KOFFI, Activity recognition from multimodal data using artificial intelligence: application to fall impact moment detection; funding: CESI LINEACT research grant; scientific output: 5 publications (2 international journals, 2 international conferences, 1 national conference).
Jan–Jul 2025 – Heni LACHOUAK, Deep learning for real-time physical assessment and pain detection in rehabilitation exercises; scientific output: 1 journal article (in preparation).
Jan–Jul 2024 – Chaimae JALLOULI, Spatio-temporal networks and hypergraph transformers for automatic assessment of rehabilitation exercises; scientific output: 1 journal article (under revision).
Jan–Jul 2024 – Aafaf RIDOUAN, Improving pain classification using spatio-temporal deep learning approaches based on facial expressions; scientific output: 1 conference paper.
Jan–Jul 2023 – Mohammed CHEKROUN, Deep learning-based multiorgan segmentation of thoracic structures on a 0.35T MR-Linac radiation therapy system, in collaboration with CHU Dijon, CGFL Dijon and University Bourgogne Europe (UBE); scientific output: 1 journal article.