A review on Deep Learning in thyroid ultrasound Computer-Assisted Diagnosis systems. - Hajer Khachnaoui; Ramzi Guetari; Nawres Khlifa (IPAS, 2018)

Machine learning and deep learning for clinical data and PET/SPECT imaging in Parkinson's disease: a review. - Hajer Khachnaoui; Rostom Mabrouk; Nawres Khlifa (IET Image Process., 2020)

Thyroid nodules classification and diagnosis in ultrasound images using fine-tuning deep convolutional neural network. - Olfa Moussa; Hajer Khachnaoui; Ramzi Guetari; Nawres Khlifa (Int. J. Imaging Syst. Technol., 2020)

Deep Learning for Automatic Pulmonary Embolism Identification Using CTA Images. - Hajer Khachnaoui; Mariem Agrébi; Siwar Halouani; Nawres Khlifa (ATSIP, 2022)

Statistical analysis of clinical and DaTSCAN SPECT imaging features' in Parkinson's Disease, SWEDD, and Healthy Control subjects. - Hajer Khachnaoui; Nawres Khlifa; Rostom Mabrouk (CoDIT, 2022)

Machine Learning for Early Parkinson's Disease Identification within SWEDD Group Using Clinical and DaTSCAN SPECT Imaging Features. - Hajer Khachnaoui; Nawres Khlifa; Rostom Mabrouk (J. Imaging, 2022)

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)

Enhanced Parkinson's Disease Diagnosis Through Convolutional Neural Network Models Applied to SPECT DaTSCAN Images. - Hajer Khachnaoui; Belkacem Chikhaoui; Nawres Khlifa; Rostom Mabrouk (IEEE Access, 2023)