Deep features extraction to assess mobile user interfaces. - Makram Soui; Zainab Haddad; Rim Trabelsi; Karthik Srinivasan (Multim. Tools Appl., 2022)

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 (INISTA, 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)

Deep Learning-Based Model Using DensNet201 for Mobile User Interface Evaluation. - Makram Soui; Zainab Haddad (Int. J. Hum. Comput. Interact., 2023)

Explainable AI For Retinal Pathology Detection In OCT Images. - Zainab Haddad; Hsouna Zgolli; Désiré Sidibé; Hedi Tabia; Nawres Khlifa (CoDIT, 2024)