| Generative adversarial network for medical images (MI-GAN) T Iqbal, H Ali Journal of medical systems 42 (11), 231, 2018 | 273 | 2018 |
| A new generative adversarial network for medical images super resolution W Ahmad, H Ali, Z Shah, S Azmat Scientific Reports 12 (1), 9533, 2022 | 123 | 2022 |
| Speaker recognition with hybrid features from a deep belief network H Ali, SN Tran, E Benetos, AS d’Avila Garcez Neural Computing and Applications 29, 13-19, 2018 | 101 | 2018 |
| Artificial intelligence-based methods for fusion of electronic health records and imaging data F Mohsen, H Ali, N El Hajj, Z Shah Scientific Reports 12 (1), 17981, 2022 | 99 | 2022 |
| Call detail records driven anomaly detection and traffic prediction in mobile cellular networks K Sultan, H Ali, Z Zhang IEEE Access 6, 41728-41737, 2018 | 89 | 2018 |
| Segmentation of lungs in chest X-ray image using generative adversarial networks F Munawar, S Azmat, T Iqbal, C Grönlund, H Ali Ieee Access 8, 153535-153545, 2020 | 82 | 2020 |
| The role of generative adversarial networks in brain MRI: a scoping review H Ali, MR Biswas, F Mohsen, U Shah, A Alamgir, O Mousa, Z Shah Insights into imaging 13 (1), 98, 2022 | 79 | 2022 |
| KNN and ANN-based recognition of handwritten Pashto letters using zoning features S Khan, H Ali, Z Ullah, N Minallah, S Maqsood, A Hafeez arXiv preprint arXiv:1904.03391, 2019 | 72 | 2019 |
| R2U++: a multiscale recurrent residual U-Net with dense skip connections for medical image segmentation M Mubashar, H Ali, C Grönlund, S Azmat Neural Computing and Applications 34 (20), 17723-17739, 2022 | 71 | 2022 |
| Artificial intelligence and biosensors in healthcare and its clinical relevance: A review R Qureshi, M Irfan, H Ali, A Khan, AS Nittala, S Ali, A Shah, TM Gondal, ... IEEE Access 11, 61600-61620, 2023 | 67 | 2023 |
| Big data perspective and challenges in next generation networks K Sultan, H Ali, Z Zhang Future Internet 10 (7), 56, 2018 | 66 | 2018 |
| Improving classification performance through an advanced ensemble based heterogeneous extreme learning machines AOM Abuassba, D Zhang, X Luo, A Shaheryar, H Ali Computational intelligence and neuroscience 2017 (1), 3405463, 2017 | 58 | 2017 |
| Spot the fake lungs: Generating synthetic medical images using neural diffusion models H Ali, S Murad, Z Shah Irish Conference on Artificial Intelligence and Cognitive Science, 32-39, 2022 | 56 | 2022 |
| Feature fusion and Ensemble learning-based CNN model for mammographic image classification IU Haq, H Ali, HY Wang, C Lei, H Ali Journal of King Saud University-Computer and Information Sciences 34 (6 …, 2022 | 50 | 2022 |
| Coconut trees detection and segmentation in aerial imagery using mask region‐based convolution neural network MS Iqbal, H Ali, SN Tran, T Iqbal IET Computer Vision 15 (6), 428-439, 2021 | 46 | 2021 |
| Pioneer dataset and automatic recognition of Urdu handwritten characters using a deep autoencoder and convolutional neural network H Ali, A Ullah, T Iqbal, S Khattak SN Applied Sciences 2, 1-12, 2020 | 39 | 2020 |
| Pioneer dataset and recognition of Handwritten Pashto characters using Convolution Neural Networks S Khan, A Hafeez, H Ali, S Nazir, A Hussain Measurement and Control 53 (9-10), 2041-2054, 2020 | 35 | 2020 |
| DWT features performance analysis for automatic speech recognition of Urdu H Ali, N Ahmad, X Zhou, K Iqbal, SM Ali SpringerPlus 3, 1-10, 2014 | 34 | 2014 |
| Implementation of a modified U-Net for medical image segmentation on edge devices O Ali, H Ali, SAA Shah, A Shahzad IEEE Transactions on Circuits and Systems II: Express Briefs 69 (11), 4593-4597, 2022 | 33 | 2022 |
| 3D human action analysis and recognition through GLAC descriptor on 2D motion and static posture images MF Bulbul, S Islam, H Ali Multimedia Tools and Applications 78 (15), 21085-21111, 2019 | 33 | 2019 |