| Artificial intelligence in brain tumor detection through MRI scans: advancements and challenges S Gull, S Akbar Artificial Intelligence and Internet of Things, 241-276, 2021 | 73 | 2021 |
| Automated detection of brain tumor through magnetic resonance images using convolutional neural network S Gull, S Akbar, HU Khan BioMed Research International 2021 (1), 3365043, 2021 | 71 | 2021 |
| Deep learning-based automatic detection of central serous retinopathy using optical coherence tomographic images SAE Hassan, S Akbar, S Gull, A Rehman, H Alaska 2021 1st International Conference on Artificial Intelligence and Data …, 2021 | 39 | 2021 |
| An interactive deep learning approach for brain tumor detection through 3D-magnetic resonance images S Gull, S Akbar, K Safdar 2021 International Conference on Frontiers of Information Technology (FIT …, 2021 | 24 | 2021 |
| An automated deep learning based ensemble approach for malignant melanoma detection using dermoscopy images K Safdar, S Akbar, S Gull 2021 International Conference on Frontiers of Information Technology (FIT …, 2021 | 22 | 2021 |
| A deep transfer learning approach for automated detection of brain tumor through magnetic resonance imaging S Gull, S Akbar, IA Shoukat 2021 International Conference on Innovative Computing (ICIC), 1-6, 2021 | 20 | 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 |
| Detection of tomato leaf disease using deep convolutional neural networks A Khalid, S Akbar, SA Hassan, S Firdous, S Gull 2023 4th International Conference on Advancements in Computational Sciences …, 2023 | 14 | 2023 |
| A deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images S Gull, S Akbar, SM Naqi International Journal of Imaging Systems and Technology 33 (5), 1745-1766, 2023 | 13 | 2023 |
| Automated brain tumor segmentation and classification through MRI images S Gull, S Akbar, SA Hassan, A Rehman, T Sadad International Conference on Emerging Technology Trends in Internet of Things …, 2021 | 12 | 2021 |
| Deep convolutional neural network-based framework for apple leaves disease detection S Firdous, S Akbar, SA Hassan, A Khalid, S Gull 2023 4th International Conference on Advancements in Computational Sciences …, 2023 | 8 | 2023 |
| Detection of lungs cancer through computed tomographic images using deep learning M Abid, S Akbar, S Abid, SA Hassan, S Gull 2023 4th International Conference on Advancements in Computational Sciences …, 2023 | 5 | 2023 |
| Leukemia Detection Using Machine and Deep Learning Through Microscopic Images—A Review QU Ain, S Akbar, S Gull, M Hussain, N Ayesha Prognostic Models in Healthcare: AI and Statistical Approaches, 261-291, 2022 | 4 | 2022 |
| Automatic Detection of Leukemia through Convolutional Neural Network R Arif, S Akbar, AB Farooq, SA Hassan, S Gull 2022 International Conference on Frontiers of Information Technology (FIT …, 2022 | 3 | 2022 |
| Computer-Aided System for Pneumothorax Detection through Chest X-ray Images using Convolutional Neural Network F Urooj, S Akbar, SA Hassan, S Gull 2023 International Conference on IT and Industrial Technologies (ICIT), 1-6, 2023 | 1 | 2023 |
| An Automated Hybrid Glaucoma Detection Framework through Retinal Images SAEA Naqi, S Akbar, K Iqbal, SA Hassan, S Gull 2023 International Conference on IT and Industrial Technologies (ICIT), 1-6, 2023 | 1 | 2023 |
| Automatic Detection of Breast Cancer through Mammogram Images S Abid, S Akbar, SA Hassan, S Gull 2022 International Conference on IT and Industrial Technologies (ICIT), 1-7, 2022 | 1 | 2022 |
| Melanoma Classification Through Deep Learning Using Dermoscopic Images AB Farooq, S Akbar, R Arif, SA Hassan, S Gull 2023 International Conference on IT and Industrial Technologies (ICIT), 1-6, 2023 | | 2023 |
| 2 Artificial Intelligence in Coronavirus Detection SA Hassan, S Gull, S Akbar, I Hanif, S Iqbal, MW Aziz Intelligent Computing Applications for COVID-19: Predictions, Diagnosis, and …, 2021 | | 2021 |
Dr. Shahzad AkbarAssociate Professor, Riphah International University, Faisalabad Campus在 riphahfsd.edu.pk 的电子邮件经过验证
