| Thyroid nodules classification and diagnosis in ultrasound images using fine‐tuning deep convolutional neural network O Moussa, H Khachnaoui, R Guetari, N Khlifa International Journal of Imaging Systems and Technology 30 (1), 185-195, 2020 | 61 | 2020 |
| Machine learning and deep learning for clinical data and PET/SPECT imaging in Parkinson's disease: a review H Khachnaoui, R Mabrouk, N Khlifa IET Image Processing 14 (16), 4013-4026, 2020 | 40 | 2020 |
| A review on deep learning in thyroid ultrasound computer-assisted diagnosis systems H Khachnaoui, R Guetari, N Khlifa 2018 IEEE International Conference on Image Processing, Applications and …, 2018 | 28 | 2018 |
| Machine Learning for Early Parkinson’s Disease Identification within SWEDD Group Using Clinical and DaTSCAN SPECT Imaging Features H Khachnaoui, N Khlifa, R Mabrouk Journal of Imaging 8 (4), 97, 2022 | 25 | 2022 |
| Deep Learning for Automatic Pulmonary Embolism Identification Using CTA Images H Khachnaoui, M Agrébi, S Halouani, N Khlifa 2022 6th International Conference on Advanced Technologies for Signal and …, 2022 | 12 | 2022 |
| Bilinear Pooling for Thyroid Nodule Classification in Ultrasound Imaging N Aboudi, H Khachnaoui, O Moussa, N Khlifa Arabian Journal for Science and Engineering, 1-11, 2023 | 10 | 2023 |
| Enhanced Parkinson’s Disease Diagnosis through Convolutional Neural Network Models Applied to SPECT DaTSCAN Images H Khachnaoui, B Chikhaoui, N Khlifa, R Mabrouk IEEE Access, 2023 | 6 | 2023 |
| Prediction of Postoperative Visual Acuity in Rhegmatogenous Retinal Detachment Using OCT Images S Hosni, H Khachnaoui, HM Zgolli, S Mabrouk, D Sidibé, H Tabia, ... IEEE Access 11, 135435-135448, 2023 | 2 | 2023 |
| Statistical analysis of clinical and DaTSCAN SPECT imaging features' in Parkinson's Disease, SWEDD, and Healthy Control subjects H Khachnaoui, N Khlifa, R Mabrouk 2022 8th International Conference on Control, Decision and Information …, 2022 | | 2022 |
| Classification automatique des nodules thyroïdiens dans les images échographiques par apprentissage profond H Khachnaoui, O Moussa, R Guetari | | |
