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 | 56 | 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 | 49 | 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 | 32 | 2020 |
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 | 30 | 2014 |
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 | 29 | 2018 |
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 | 28 | 2020 |
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 |
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 | 23 | 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 | 18 | 2022 |
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 | 18 | 2009 |
A based Bayesian wavelet thresholding method to enhance nuclear imaging N Khlifa, N Gribaa, I Mbazaa, K Hamruoni Journal of Biomedical Imaging 2009, 1-10, 2009 | 13 | 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 | 12 | 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 | 12 | 2016 |
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 | 11 | 2020 |
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 | 11 | 2018 |
Image denoising using wavelets: a powerful tool to overcome some limitations in nuclear imaging K Nawres, H Kamel, E Noureddine 2006 2nd International Conference on Information & Communication …, 2006 | 11 | 2006 |
Two Methods for Analysis of Dynamic Scintigraphic Images of the Heart. K Hamrouni, N Khalifa Int. Arab J. Inf. Technol. 3 (2), 118-125, 2006 | 11 | 2006 |
Cerebral aneurysm computer-aided detection system by combing MSER, SURF and SIFT descriptors I Rahmany, B Arfaoui, N Khlifa, H Megdiche 2018 5th international conference on control, decision and information …, 2018 | 9 | 2018 |
Transfer learning vs. fine-tuning in bilinear CNN for lung nodules classification on CT scans R Mastouri, N Khlifa, H Neji, S Hantous-Zannad Proceedings of the 2020 3rd International Conference on Artificial …, 2020 | 8 | 2020 |
Planar Scintigraphic Images Denoising F Makhlouf, H Besbes, N Khalifa, CB Amar, B Solaiman Open Journal of Medical Imaging 2013, 2013 | 8 | 2013 |