Hsouna Mehdi Zgolli

According to our database, Hsouna Mehdi Zgolli authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Representation learning from OCT images.

Hedi Tabia, Désiré Sidibé, Nawres Khlifa, Ahmed Tabia, Ines Rahmany, Noura Aboudi, Zainab Haddad, Hajer Khachnaoui, Hsouna Zgolli

CoRR, May, 2026

2025

A Deep Learning Approach for Predicting the Response to Anti-VEGF Treatment in Diabetic Macular Edema Patients Using Optical Coherence Tomography Images.

Karima Garraoui, Ines Rahmany, Salah Dhahri, Hedi Tabia, Désiré Sidibé, Hsouna Zgolli, Nawres Khlifa

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

Advanced Deep Learning Techniques for Evaluating OCT Image Quality and Detecting Retinal Pathologies.

Arij Mlaouhi, Zainab Haddad, Hsouna Zgolli, Hedi Tabia, Désiré Sidibé, Nawres Khlifa

Proceedings of the 22nd IEEE/ACS International Conference on Computer Systems and Applications, 2025

2024

Explainable AI For Retinal Pathology Detection In OCT Images.

Zainab Haddad, Hsouna Zgolli, Désiré Sidibé, Hedi Tabia, Nawres Khlifa

Proceedings of the 10th International Conference on Control, 2024

2023

Automatic Detection of AMD and DME Retinal Pathologies Using Deep Learning.

Latifa Saidi, Hajer Jomaa, Zainab Haddad, Hsouna Zgolli, Sonia Mabrouk, Désiré Sidibé, Hedi Tabia, Nawres Khlifa

Int. J. Biomed. Imaging, 2023

Prediction of Postoperative Visual Acuity in Rhegmatogenous Retinal Detachment Using OCT Images.

Sinda Hosni, Hajer Khachnaoui, Hsouna Mehdi Zgolli, Sonya Mabrouk, Désiré Sidibé, Hedi Tabia, Nawres Khlifa

IEEE Access, 2023

Retinal pathologies detection in OCT images based on Bilinear convolutional neural network.

Zainab Haddad, Brahim Mahamat Yaya, Hsouna Zgolli, Désiré Sidibé, Hedi Tabia, Nawres Khlifa

Proceedings of the International Conference on Innovations in Intelligent Systems and Applications, 2023