| Deep learning approach for active classification of electrocardiogram signals MM Al Rahhal, Y Bazi, H AlHichri, N Alajlan, F Melgani, RR Yager Information Sciences 345, 340-354, 2016 | 601 | 2016 |
| Vision transformers for remote sensing image classification Y Bazi, L Bashmal, MMA Rahhal, RA Dayil, NA Ajlan Remote Sensing 13 (3), 516, 2021 | 159 | 2021 |
| 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 | 83 | 2018 |
| Simple yet effective fine-tuning of deep CNNs using an auxiliary classification loss for remote sensing scene classification Y Bazi, MM Al Rahhal, H Alhichri, N Alajlan Remote Sensing 11 (24), 2908, 2019 | 64 | 2019 |
| Siamese-GAN: Learning invariant representations for aerial vehicle image categorization L Bashmal, Y Bazi, H AlHichri, MM AlRahhal, N Ammour, N Alajlan Remote Sensing 10 (2), 351, 2018 | 55 | 2018 |
| Asymmetric adaptation of deep features for cross-domain classification in remote sensing imagery N Ammour, L Bashmal, Y Bazi, MM Al Rahhal, M Zuair IEEE Geoscience and Remote Sensing Letters 15 (4), 597-601, 2018 | 45 | 2018 |
| Breast cancer classification in histopathological images using convolutional neural network MM Al Rahhal international journal of advanced computer science and applications 9 (3), 2018 | 39 | 2018 |
| Human expertise in mobile robot navigation M Faisal, M Algabri, BM Abdelkader, H Dhahri, MM Al Rahhal IEEE Access 6, 1694-1705, 2017 | 34 | 2017 |
| TextRS: Deep bidirectional triplet network for matching text to remote sensing images T Abdullah, Y Bazi, MM Al Rahhal, ML Mekhalfi, L Rangarajan, M Zuair Remote Sensing 12 (3), 405, 2020 | 30 | 2020 |
| Learning a multi-branch neural network from multiple sources for knowledge adaptation in remote sensing imagery MM Al Rahhal, Y Bazi, T Abdullah, ML Mekhalfi, H AlHichri, M Zuair Remote Sensing 10 (12), 1890, 2018 | 28 | 2018 |
| Classification of AAMI heartbeat classes with an interactive ELM ensemble learning approach MM Al Rahhal, Y Bazi, N Alajlan, S Malek, H Al-Hichri, F Melgani, ... Biomedical Signal Processing and Control 19, 56-67, 2015 | 26 | 2015 |
| Contrasting YOLOv5, transformer, and EfficientDet detectors for crop circle detection in desert ML Mekhalfi, C Nicolò, Y Bazi, MM Al Rahhal, NA Alsharif, ... IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 25 | 2021 |
| Dense convolutional networks with focal loss and image generation for electrocardiogram classification MM Al Rahhal, Y Bazi, H Almubarak, N Alajlan, M Al Zuair IEEE Access 7, 182225-182237, 2019 | 24 | 2019 |
| Covid-19 detection in ct/x-ray imagery using vision transformers MM Al Rahhal, Y Bazi, RM Jomaa, A AlShibli, N Alajlan, ML Mekhalfi, ... Journal of Personalized Medicine 12 (2), 310, 2022 | 17 | 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 | 17 | 2020 |
| Prediction of COVID-19 confirmed cases using gradient boosting regression method A Gumaei, M Al-Rakhami, MM Al Rahhal, FR Albogamy, E Al Maghayreh, ... Comput Mater Continua 66, 315-329, 2021 | 15 | 2021 |
| A dense phase descriptor for human ear recognition MM Al Rahhal, ML Mekhalfi, M Guermoui, E Othman, B Lei, A Mahmood IEEE Access 6, 11883-11887, 2018 | 15 | 2018 |
| UAV image multi-labeling with data-efficient transformers L Bashmal, Y Bazi, MM Al Rahhal, H Alhichri, N Al Ajlan Applied Sciences 11 (9), 3974, 2021 | 14 | 2021 |
| Automatic premature ventricular contractions detection for multi-lead electrocardiogram signal MM Al Rahhal, N Al Ajlan, Y Bazi, H Al Hichri, T Rabczuk 2018 IEEE International Conference on Electro/Information Technology (EIT …, 2018 | 12 | 2018 |
| Deep learning approach for COVID-19 detection in computed tomography images MM Al Rahhal, Y Bazi, RM Jomaa, M Zuair, N Al Ajlan Cmc-Computers Materials & Continua, 2093-2110, 2021 | 10 | 2021 |
Prof. Yakoub BaziCollege of Computer and Information Sciences, King Saud UniversityVerified email at ksu.edu.sa
