| A bilinear convolutional neural network for lung nodules classification on CT images R Mastouri, N Khlifa, H Neji, S Hantous-Zannad International Journal of Computer Assisted Radiology and Surgery 16, 91-101, 2021 | 72 | 2021 |
| 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 |
| Deep learning-based CAD schemes for the detection and classification of lung nodules from CT images: A survey R Mastouri, N Khlifa, H Neji, S Hantous-Zannad Journal of X-ray Science and Technology 28 (4), 591-617, 2020 | 44 | 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 | 37 | 2020 |
| Denoising of dynamic PET images using a multi-scale transform and non-local means filter H Jomaa, R Mabrouk, N Khlifa, F Morain-Nicolier Biomedical Signal Processing and Control 41, 69-80, 2018 | 32 | 2018 |
| Ultrasound image denoising using a combination of bilateral filtering and stationary wavelet transform M Olfa, K Nawres International Image Processing, Applications and Systems Conference, 1-5, 2014 | 28 | 2014 |
| 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 | 27 | 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 | 26 | 2022 |
| 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 | 26 | 2020 |
| Enhancing medicare fraud detection through machine learning: Addressing class imbalance with SMOTE-ENN R Bounab, K Zarour, B Guelib, N Khlifa IEEE Access, 2024 | 20 | 2024 |
| People detection in complex scene using a cascade of Boosted classifiers based on Haar-like-features M Siala, N Khlifa, F Bremond, K Hamrouni 2009 IEEE Intelligent Vehicles Symposium, 83-87, 2009 | 19 | 2009 |
| A fully automatic based deep learning approach for aneurysm detection in DSA images I Rahmany, R Guetari, N Khlifa 2018 IEEE international conference on image processing, applications and …, 2018 | 17 | 2018 |
| Automatic classification of ultrasound thyroids images using vision transformers and generative adversarial networks F Jerbi, N Aboudi, N Khlifa Scientific African 20, e01679, 2023 | 15 | 2023 |
| Real time emotion recognition in video stream, using B-CNN and F-CNN R Guetari, A Chetouani, H Tabia, N Khlifa 2020 5th International Conference on Advanced Technologies for Signal and …, 2020 | 14 | 2020 |
| Approach based lightweight custom convolutional neural network and fine-tuned mobilenet-v2 for ECG arrhythmia signals classification H Bechinia, D Benmerzoug, N Khlifa IEEE Access 12, 40827-40841, 2024 | 13 | 2024 |
| Same-subject-modalities-interactions: A novel framework for MRI and PET multi-modality fusion for Alzheimer’s disease classification B Guelib, K Zarour, H Hermessi, B Rayene, K Nawres IEEE Access 11, 48715-48738, 2023 | 13 | 2023 |
| Anatomical prognosis after idiopathic macular hole surgery: machine learning based-predection SMNK Hsouna Zgolli, Hamad H k El Zarrug, Moufid Meddeb Libyan Journal of Medicine 17, 2022 | 13 | 2022 |
| A morphological operation-based approach for Sub-pleural lung nodule detection from CT images R Mastouri, H Neji, S Hantous-Zannad, N Khlifa 2018 IEEE 4th Middle East Conference on Biomedical Engineering (MECBME), 84-89, 2018 | 13 | 2018 |
| Multi-scale and Non Local Mean based filter for Positron Emission Tomography imaging denoising H Jomaa, R Mabrouk, F Morain-Nicolier, N Khlifa 2016 2nd International Conference on Advanced Technologies for Signal and …, 2016 | 13 | 2016 |
| A based Bayesian wavelet thresholding method to enhance nuclear imaging K Nawrès, G Najla, M Imen, H Kamel International Journal of Biomedical Imaging 2009 (1), 506120, 2009 | 13 | 2009 |
KHACHNAOUI HAJERInstitut Superieur des Technologies medicales de TunisVerificeret mail på istmt.utm.tn