| Multi‐objectives optimisation of features selection for the classification of thyroid nodules in ultrasound images N Aboudi, R Guetari, N Khlifa IET Image Processing 14 (9), 1901-1908, 2020 | 23 | 2020 |
| Automatic classification of ultrasound thyroids images using vision transformers and generative adversarial networks F Jerbi, N Aboudi, N Khlifa Scientific African 20, e01679, 2023 | 7 | 2023 |
| Bilinear pooling for thyroid nodule classification in ultrasound imaging N Aboudi, H Khachnaoui, O Moussa, N Khlifa Arabian Journal for Science and Engineering 48 (8), 10563-10573, 2023 | 6 | 2023 |
| Reliable attribute selection based on random forest (raser) A Noura, H Shili, LB Romdhane Intelligent Systems Design and Applications: 16th International Conference …, 2017 | 4 | 2017 |
| Thyroid Ultrasound Images Classification using the Shearlet Coefficients and the Generic Fourier Descriptor. N Aboudi, N Khlifa VISIGRAPP (4: VISAPP), 292-298, 2020 | 2 | 2020 |
| A new intelligent system based deep learning to detect DME and AMD in OCT images Y Gueddena, N Aboudi, H Zgolli, S Mabrouk, D Sidibe, H Tabia, N Khlifa International Ophthalmology 44 (1), 191, 2024 | | 2024 |
Nawres KHLIFAFull Professor, University of Tunis El Manar, Coordinator of TIMed (Medical Image Proessing Team)Потвърден имейл адрес: istmt.utm.tn
