| 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 | 444 | 2020 |
| 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 | 284 | 2018 |
| Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification AR Khan, S Khan, M Harouni, R Abbasi, S Iqbal, Z Mehmood Microscopy Research and Technique 84 (7), 1389-1399, 2021 | 218 | 2021 |
| Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation S Iqbal, MUG Khan, T Saba, Z Mehmood, N Javaid, A Rehman, R Abbasi Microscopy Research and Technique, 2019 | 151 | 2019 |
| Computer-assisted brain tumor type discrimination using magnetic resonance imaging features S Iqbal, MUG Khan, T Saba, A Rehman Biomedical Engineering Letters, 1-24, 2017 | 146 | 2017 |
| 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 | 115 | 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, 2019 | 109 | 2019 |
| Threat modelling methodologies: a survey S Hussain, A Kamal, S Ahmad, G Rasool, S Iqbal Sci. Int.(Lahore) 26 (4), 1607-1609, 2014 | 102 | 2014 |
| Medical image based breast cancer diagnosis: State of the art and future directions M Tariq, S Iqbal, H Ayesha, I Abbas, KT Ahmad, MFK Niazi Expert Systems with Applications 167, 114095, 2021 | 86 | 2021 |
| 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 | 85 | 2020 |
| Automatic medical image interpretation: State of the art and future directions H Ayesha, S Iqbal, M Tariq, M Abrar, M Sanaullah, I Abbas, A Rehman, ... Pattern Recognition 114, 107856, 2021 | 77 | 2021 |
| Application of intelligent agents in health-care S Iqbal, W Altaf, M Aslam, W Mahmood, MUG Khan Artificial Intelligence Review 46, 83-112, 2016 | 67 | 2016 |
| Empirical evaluation and study of text stemming algorithms A Jabbar, S Iqbal, MI Tamimy, S Hussain, A Akhunzada Artificial Intelligence Review 53, 5559-5588, 2020 | 51 | 2020 |
| Automatic diagnosis of glaucoma from retinal images using deep learning approach A Shoukat, S Akbar, SA Hassan, S Iqbal, A Mehmood, QM Ilyas Diagnostics 13 (10), 1738, 2023 | 50 | 2023 |
| Multi-class disease detection using deep learning and human brain medical imaging F Yousaf, S Iqbal, N Fatima, T Kousar, MSM Rahim Biomedical Signal Processing and Control 85, 104875, 2023 | 47 | 2023 |
| SBXception: a shallower and broader xception architecture for efficient classification of skin lesions A Mehmood, Y Gulzar, QM Ilyas, A Jabbari, M Ahmad, S Iqbal Cancers 15 (14), 3604, 2023 | 35 | 2023 |
| A survey on Urdu and Urdu like language stemmers and stemming techniques A Jabbar, S Iqbal, MUG Khan, S Hussain Artificial Intelligence Review 49, 339-373, 2018 | 35 | 2018 |
| An improved Urdu stemming algorithm for text mining based on multi-step hybrid approach A Jabbar, S Iqbal, A Akhunzada, Q Abbas Journal of Experimental & Theoretical Artificial Intelligence 30 (5), 703-723, 2018 | 31 | 2018 |
| Symmetric image contents analysis and retrieval using decimation, pattern analysis, orientation, and features fusion KT Ahmed, S Aslam, H Afzal, S Iqbal, A Mehmood, GS Choi IEEE Access 9, 57215-57242, 2021 | 18 | 2021 |
| Artificial intelligence in coronavirus detection: Recent findings and future perspectives SA Hassan, S Gull, S Akbar, I Hanif, S Iqbal, MW Aziz Intelligent Computing Applications for COVID-19, 23-48, 2021 | 17 | 2021 |
Muhammad Usman Ghani KhanProfessor of Computer Science, University of Engineering & Technology, LahoreEmail verificata su kics.edu.pk