| A review of retinal blood vessels extraction techniques: challenges, taxonomy, and future trends KB Khan, AA Khaliq, A Jalil, MA Iftikhar, N Ullah, MW Aziz, K Ullah, ... Pattern Analysis and Applications 22, 767-802, 2019 | 88 | 2019 |
| A robust technique based on VLM and Frangi filter for retinal vessel extraction and denoising KB Khan, AA Khaliq, A Jalil, M Shahid PloS one 13 (2), e0192203, 2018 | 38 | 2018 |
| Deep feature selection and decision level fusion for lungs nodule classification I Ali, M Muzammil, IU Haq, M Amir, S Abdullah IEEE Access 9, 18962-18973, 2021 | 30 | 2021 |
| A Novel Fast GLM Approach for Retinal Vascular Segmentation and Denoising. KB Khan, AA Khaliq, M Shahid J. Inf. Sci. Eng. 33 (6), 1611-1627, 2017 | 24 | 2017 |
| Pulmonary nodule classification using feature and ensemble learning-based fusion techniques M Muzammil, I Ali, IU Haq, M Amir, S Abdullah IEEE Access 9, 113415-113427, 2021 | 19 | 2021 |
| An efficient technique for retinal vessel segmentation and denoising using modified ISODATA and CLAHE KB Khan, AA Khaliq, M Shahid, S Khan IIUM Engineering Journal 17 (2), 31-46, 2016 | 19 | 2016 |
| A new approach of weighted gradient filter for denoising of medical images in the presence of Poisson noise KB Khan, AA Khaliq, M Shahid, JA Shah Tehnički vjesnik 23 (6), 1755-1762, 2016 | 15 | 2016 |
| Compressively sampled magnetic resonance image reconstruction using separable surrogate functional method JA Shah, IM Qureshi, H Omer, AA Khaliq, Y Deng Concepts in Magnetic Resonance Part A 43 (5), 157-165, 2014 | 13 | 2014 |
| Khan Bahadar Khan, Amir A. Khaliq, Abdul Jalil, Muhammad Aksam Iftikhar, Najeeb Ullah, Muhammad Waqar Aziz K Ullah | | |
| Fast GLM and moment-preserving thresholding for retinal vascular segmentation and denoising KB KHAN, AA KHALIQ, M SHAHID | | |
