| A deep learning-based framework for automatic brain tumors classification using transfer learning A Rehman, S Naz, MI Razzak, F Akram, M Imran Circuits, Systems, and Signal Processing 39 (2), 757-775, 2020 | 596 | 2020 |
| Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities A Rehman, S Naz, I Razzak Multimedia Systems 28 (4), 1339-1371, 2022 | 221 | 2022 |
| Writer identification using machine learning approaches: a comprehensive review A Rehman, S Naz, MI Razzak Multimedia Tools and Applications 78, 10889-10931, 2019 | 117 | 2019 |
| Automatic visual features for writer identification: a deep learning approach A Rehman, S Naz, MI Razzak, IA Hameed IEEE access 7, 17149-17157, 2019 | 114 | 2019 |
| Improving coronavirus (COVID-19) diagnosis using deep transfer learning A Rehman, S Naz, A Khan, A Zaib, I Razzak Proceedings of International Conference on Information Technology and …, 2022 | 101 | 2022 |
| Biometric signature authentication using machine learning techniques: Current trends, challenges and opportunities K Bibi, S Naz, A Rehman Multimedia Tools and Applications 79 (1), 289-340, 2020 | 69 | 2020 |
| Deep autoencoder-decoder framework for semantic segmentation of brain tumor ARS Naz, U Naseem, I Razzak, IA Hameed Aust. J. Intell. Inf. Process. Syst 15 (4), 2019 | 24 | 2019 |
| A deep learning based review on abdominal images A Rehman, FG Khan Multimedia Tools and Applications 80 (20), 30321-30352, 2021 | 22 | 2021 |
| Review on chest pathogies detection systems using deep learning techniques A Rehman, A Khan, G Fatima, S Naz, I Razzak Artificial Intelligence Review 56 (11), 12607-12653, 2023 | 12 | 2023 |
Imran RazzakMBZUAI, Abu DhabiDirección de correo verificada de ieee.org
