| A deep learning approach for automated diagnosis and multi-class classification of Alzheimer’s disease stages using resting-state fMRI and residual neural networks F Ramzan, MUG Khan, A Rehmat, S Iqbal, T Saba, A Rehman, ... Journal of medical systems 44, 1-16, 2020 | 360 | 2020 |
| A survey of ontology learning techniques and applications MN Asim, M Wasim, MUG Khan, W Mahmood, HM Abbasi Database 2018, bay101, 2018 | 286 | 2018 |
| Brain tumor segmentation in multi‐spectral MRI using convolutional neural networks (CNN) S Iqbal, MU Ghani, T Saba, A Rehman Microscopy research and technique 81 (4), 419-427, 2018 | 261 | 2018 |
| Deep unified model for face recognition based on convolution neural network and edge computing MZ Khan, S Harous, SU Hassan, MUG Khan, R Iqbal, S Mumtaz IEEE Access 7, 72622-72633, 2019 | 151 | 2019 |
| Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation S Iqbal, MU Ghani Khan, T Saba, Z Mehmood, N Javaid, A Rehman, ... Microscopy research and technique 82 (8), 1302-1315, 2019 | 142 | 2019 |
| Technologies and challenges in developing Machine-to-Machine applications: A survey UG Anum Ali, Ghalib Shah, Omer Farooq Journal of Network and Computer Applications 83, 124-139, 2017 | 134 | 2017 |
| Computer-assisted brain tumor type discrimination using magnetic resonance imaging features S Iqbal, MUG Khan, T Saba, A Rehman Biomedical Engineering Letters 8 (1), 5-28, 2018 | 129 | 2018 |
| Soft computing-based EEG classification by optimal feature selection and neural networks MH Bhatti, J Khan, MUG Khan, R Iqbal, M Aloqaily, Y Jararweh, B Gupta IEEE Transactions on Industrial Informatics 15 (10), 5747-5754, 2019 | 126 | 2019 |
| Microscopic abnormality classification of cardiac murmurs using ANFIS and HMM HM Fahad, MU Ghani Khan, T Saba, A Rehman, S Iqbal Microscopy research and technique 81 (5), 449-457, 2018 | 105 | 2018 |
| Feature enhancement framework for brain tumor segmentation and classification B Tahir, S Iqbal, M Usman Ghani Khan, T Saba, Z Mehmood, A Anjum, ... Microscopy research and technique 82 (6), 803-811, 2019 | 96 | 2019 |
| The use of ontology in retrieval: a study on textual, multilingual, and multimedia retrieval MN Asim, M Wasim, MUG Khan, N Mahmood, W Mahmood IEEE Access 7, 21662-21686, 2019 | 75 | 2019 |
| A realistic image generation of face from text description using the fully trained generative adversarial networks MZ Khan, S Jabeen, MUG Khan, T Saba, A Rehmat, A Rehman, U Tariq IEEE Access 9, 1250-1260, 2020 | 74 | 2020 |
| Volumetric segmentation of brain regions from MRI scans using 3D convolutional neural networks F Ramzan, MUG Khan, S Iqbal, T Saba, A Rehman IEEE Access 8, 103697-103709, 2020 | 72 | 2020 |
| Multiclass EEG motor-imagery classification with sub-band common spatial patterns J Khan, MH Bhatti, UG Khan, R Iqbal EURASIP Journal on Wireless Communications and Networking 2019, 1-9, 2019 | 69 | 2019 |
| Deep ensemble model for classification of novel coronavirus in chest X‐ray images F Ahmad, A Farooq, MU Ghani Computational intelligence and neuroscience 2021 (1), 8890226, 2021 | 66 | 2021 |
| Comparison of classification models for early prediction of breast cancer MU Ghani, TM Alam, FH Jaskani 2019 International Conference on Innovative Computing (ICIC), 1-6, 2019 | 62 | 2019 |
| Application of intelligent agents in health-care S Iqbal, W Altaf, M Aslam, W Mahmood, MUG Khan Artificial Intelligence Review 46, 83-112, 2016 | 58 | 2016 |
| GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification MA Ibrahim, MUG Khan, F Mehmood, MN Asim, W Mahmood Journal of biomedical informatics 116, 103699, 2021 | 56 | 2021 |
| ASoVS: abstractive summarization of video sequences A Dilawari, MUG Khan IEEE Access 7, 29253-29263, 2019 | 45 | 2019 |
| AN AUTOMATIC LEAF BASED PLANT IDENTIFICATION SYSTEM. N Ahmed, UG Khan, S Asif Science International 28 (1), 2016 | 45 | 2016 |
Prof. Tanzila Saba, IEEE Senior Memb...Full Professor, Prince Sultan University,Saudi Arabia在 psu.edu.sa 的电子邮件经过验证
