| Recent trends and advances in fundus image analysis: A review S Iqbal, TM Khan, K Naveed, SS Naqvi, SJ Nawaz Computers in Biology and Medicine 151, 106277, 2022 | 126 | 2022 |
| Fully automated multi-parametric brain tumour segmentation using superpixel based classification ZU Rehman, SS Naqvi, TM Khan, MA Khan, T Bashir Expert systems with applications 118, 598-613, 2019 | 119 | 2019 |
| CDED-Net: Joint segmentation of optic disc and optic cup for glaucoma screening M Tabassum, TM Khan, M Arsalan, SS Naqvi, M Ahmed, HA Madni, ... IEEE access 8, 102733-102747, 2020 | 112 | 2020 |
| Residual connection-based encoder decoder network (RCED-Net) for retinal vessel segmentation TM Khan, M Alhussein, K Aurangzeb, M Arsalan, SS Naqvi, SJ Nawaz IEEE Access 8, 131257-131272, 2020 | 98 | 2020 |
| Multi-parametric optic disc segmentation using superpixel based feature classification ZU Rehman, SS Naqvi, TM Khan, M Arsalan, MA Khan, MA Khalil Expert Systems with Applications 120, 461-473, 2019 | 95 | 2019 |
| Automated diagnosis of leukemia: a comprehensive review A Shah, SS Naqvi, K Naveed, N Salem, MAU Khan, KS Alimgeer IEEE Access 9, 132097-132124, 2021 | 89 | 2021 |
| A review on glaucoma disease detection using computerized techniques F Abdullah, R Imtiaz, HA Madni, HA Khan, TM Khan, MAU Khan, ... IEEE Access 9, 37311-37333, 2021 | 89 | 2021 |
| T-Net: A resource-constrained tiny convolutional neural network for medical image segmentation TM Khan, A Robles-Kelly, SS Naqvi Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 82 | 2022 |
| An improved retinal vessel segmentation framework using frangi filter coupled with the probabilistic patch based denoiser A Khawaja, TM Khan, K Naveed, SS Naqvi, NU Rehman, SJ Nawaz IEEE Access 7, 164344-164361, 2019 | 79 | 2019 |
| On the application of automated machine vision for leather defect inspection and grading: a survey M Aslam, TM Khan, SS Naqvi, G Holmes, R Naffa IEEE Access 7, 176065-176086, 2019 | 74 | 2019 |
| Width-wise vessel bifurcation for improved retinal vessel segmentation TM Khan, MAU Khan, NU Rehman, K Naveed, IU Afridi, SS Naqvi, ... Biomedical Signal Processing and Control 71, 103169, 2022 | 72 | 2022 |
| TBConvL-Net: A hybrid deep learning architecture for robust medical image segmentation S Iqbal, TM Khan, SS Naqvi, A Naveed, E Meijering Pattern Recognition 158, 111028, 2025 | 66 | 2025 |
| Retinal vessel segmentation via a multi-resolution contextual network and adversarial learning TM Khan, SS Naqvi, A Robles-Kelly, I Razzak Neural Networks 165, 310-320, 2023 | 63 | 2023 |
| Optimized RTL design and implementation of LZW algorithm for high bandwidth applications R Naqvi, RA Riaz, F Siddiqui Electrical Review 4, 279-285, 2011 | 63 | 2011 |
| Screening of glaucoma disease from retinal vessel images using semantic segmentation R Imtiaz, TM Khan, SS Naqvi, M Arsalan, SJ Nawaz Computers & Electrical Engineering 91, 107036, 2021 | 58 | 2021 |
| Towards automated eye diagnosis: An improved retinal vessel segmentation framework using ensemble block matching 3D filter K Naveed, F Daud, HA Madni, MAU Khan, TM Khan, SS Naqvi Diagnostics 11 (1), 114, 2021 | 58 | 2021 |
| G-net light: A lightweight modified google net for retinal vessel segmentation S Iqbal, SS Naqvi, HA Khan, A Saadat, TM Khan Photonics 9 (12), 923, 2022 | 52 | 2022 |
| A region growing and local adaptive thresholding-based optic disc detection TM Khan, M Mehmood, SS Naqvi, MFU Butt Plos one 15 (1), e0227566, 2020 | 51 | 2020 |
| Prompt deep light-weight vessel segmentation network (PLVS-Net) M Arsalan, TM Khan, SS Naqvi, M Nawaz, I Razzak IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (2 …, 2022 | 50 | 2022 |
| Ldmres-net: A lightweight neural network for efficient medical image segmentation on iot and edge devices S Iqbal, TM Khan, SS Naqvi, A Naveed, M Usman, HA Khan, I Razzak IEEE journal of biomedical and health informatics 28 (7), 3860-3871, 2023 | 47 | 2023 |
Tariq Mahmood KhanAssociate Professor at Naif Arab University for Security SeciencesVerified email at nauss.edu.sa
