| Car detection using unmanned aerial vehicles: Comparison between faster r-cnn and yolov3 B Benjdira, T Khursheed, A Koubaa, A Ammar, K Ouni 2019 1st International Conference on Unmanned Vehicle Systems-Oman (UVS), 1-6, 2019 | 427 | 2019 |
| Deep learning approach for car detection in UAV imagery N Ammour, H Alhichri, Y Bazi, B Benjdira, N Alajlan, M Zuair Remote Sensing 9 (4), 312, 2017 | 343 | 2017 |
| Drone deep reinforcement learning: A review AT Azar, A Koubaa, N Ali Mohamed, HA Ibrahim, ZF Ibrahim, M Kazim, ... Electronics 10 (9), 999, 2021 | 308 | 2021 |
| Unsupervised domain adaptation using generative adversarial networks for semantic segmentation of aerial images B Benjdira, Y Bazi, A Koubaa, K Ouni Remote Sensing 11 (11), 1369, 2019 | 227 | 2019 |
| Convolutional neural networks for electrocardiogram classification MM Al Rahhal, Y Bazi, M Al Zuair, E Othman, B BenJdira Journal of Medical and Biological Engineering 38, 1014-1025, 2018 | 132 | 2018 |
| Vehicle detection from aerial images using deep learning: A comparative study A Ammar, A Koubaa, M Ahmed, A Saad, B Benjdira Electronics 10 (7), 820, 2021 | 104 | 2021 |
| Aerial images processing for car detection using convolutional neural networks: Comparison between faster r-cnn and yolov3 A Ammar, A Koubaa, M Ahmed, A Saad, B Benjdira arXiv preprint arXiv:1910.07234, 2019 | 94 | 2019 |
| Deep-learning-based automated palm tree counting and geolocation in large farms from aerial geotagged images A Ammar, A Koubaa, B Benjdira Agronomy 11 (8), 1458, 2021 | 78 | 2021 |
| Vision transformers in image restoration: A survey AM Ali, B Benjdira, A Koubaa, W El-Shafai, Z Khan, W Boulila Sensors 23 (5), 2385, 2023 | 75 | 2023 |
| A novel hybrid machine learning classification for the detection of bruxism patients using physiological signals MB Bin Heyat, F Akhtar, A Khan, A Noor, B Benjdira, Y Qamar, SJ Abbas, ... Applied Sciences 10 (21), 7410, 2020 | 60 | 2020 |
| NTIRE 2024 image shadow removal challenge report FA Vasluianu, T Seizinger, Z Zhou, Z Wu, C Chen, R Timofte, W Dong, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 56 | 2024 |
| COVID-19 diagnosis in chest X-rays using deep learning and majority voting M Ben Jabra, A Koubaa, B Benjdira, A Ammar, H Hamam Applied Sciences 11 (6), 2884, 2021 | 51 | 2021 |
| Data-efficient domain adaptation for semantic segmentation of aerial imagery using generative adversarial networks B Benjdira, A Ammar, A Koubaa, K Ouni Applied Sciences 10 (3), 1092, 2020 | 49 | 2020 |
| A multi-stage deep-learning-based vehicle and license plate recognition system with real-time edge inference A Ammar, A Koubaa, W Boulila, B Benjdira, Y Alhabashi Sensors 23 (4), 2120, 2023 | 42 | 2023 |
| A machine learning approach involving functional connectivity features to classify rest-EEG psychogenic non-epileptic seizures from healthy controls G Varone, W Boulila, M Lo Giudice, B Benjdira, N Mammone, C Ieracitano, ... Sensors 22 (1), 129, 2021 | 42 | 2021 |
| Activity monitoring of islamic prayer (salat) postures using deep learning A Koubâa, A Ammar, B Benjdira, A Al-Hadid, B Kawaf, SA Al-Yahri, ... 2020 6th Conference on data science and machine learning applications (CDMA …, 2020 | 38 | 2020 |
| Helping the visually impaired see via image multi-labeling based on SqueezeNet CNN H Alhichri, Y Bazi, N Alajlan, B Bin Jdira Applied Sciences 9 (21), 4656, 2019 | 31 | 2019 |
| A hybrid privacy-preserving deep learning approach for object classification in very high-resolution satellite images W Boulila, MK Khlifi, A Ammar, A Koubaa, B Benjdira, IR Farah Remote Sensing 14 (18), 4631, 2022 | 30 | 2022 |
| Spinal cord segmentation in ultrasound medical imagery B Benjdira, K Ouni, MM Al Rahhal, A Albakr, A Al-Habib, E Mahrous Applied Sciences 10 (4), 1370, 2020 | 30 | 2020 |
| Securing the classification of covid-19 in chest x-ray images: A privacy-preserving deep learning approach W Boulila, A Ammar, B Benjdira, A Koubaa 2022 2nd International Conference of Smart Systems and Emerging Technologies …, 2022 | 28 | 2022 |
