Detection and classification of retinal lesions for grading of diabetic retinopathy MU Akram, S Khalid, A Tariq, SA Khan, F Azam Computers in biology and medicine 45, 161-171, 2014 | 370 | 2014 |
Identification and classification of microaneurysms for early detection of diabetic retinopathy MU Akram, S Khalid, SA Khan Pattern recognition 46 (1), 107-116, 2013 | 354 | 2013 |
Multilayered thresholding-based blood vessel segmentation for screening of diabetic retinopathy MU Akram, SA Khan Engineering with Computers, 1-9, 2011 | 173 | 2011 |
Automated detection of exudates and macula for grading of diabetic macular edema MU Akram, A Tariq, SA Khan, MY Javed Computer methods and programs in biomedicine 114 (2), 141-152, 2014 | 150 | 2014 |
Automated detection of glaucoma using structural and non structural features AA Salam, T Khalil, MU Akram, A Jameel, I Basit Springerplus 5, 1-21, 2016 | 149 | 2016 |
Computer aided system for brain tumor detection and segmentation MU Akram, A Usman International conference on Computer networks and information technology …, 2011 | 149 | 2011 |
Automated detection of dark and bright lesions in retinal images for early detection of diabetic retinopathy UM Akram, SA Khan Journal of medical systems, 1-12, 2012 | 128 | 2012 |
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks S Nazir, DM Dickson, MU Akram Computers in Biology and Medicine 156, 106668, 2023 | 122 | 2023 |
CNN and LSTM-based emotion charting using physiological signals MN Dar, MU Akram, SG Khawaja, AN Pujari Sensors 20 (16), 4551, 2020 | 117 | 2020 |
Localization and classification of heart beats in phonocardiography signals—a comprehensive review S Ismail, I Siddiqi, U Akram EURASIP Journal on Advances in Signal Processing 2018 (1), 1-27, 2018 | 103 | 2018 |
Retinal images: optic disk localization and detection M Usman Akram, A Khan, K Iqbal, W Butt Image Analysis and Recognition, 40-49, 2010 | 100 | 2010 |
Arteriovenous ratio and papilledema based hybrid decision support system for detection and grading of hypertensive retinopathy S Akbar, MU Akram, M Sharif, A Tariq, U ullah Yasin Computer methods and programs in biomedicine 154, 123-141, 2018 | 98 | 2018 |
Detection of neovascularization in retinal images using multivariate m-Mediods based classifier MU Akram, S Khalid, A Tariq, MY Javed Computerized Medical Imaging and Graphics 37 (5-6), 346-357, 2013 | 94 | 2013 |
Automated detection of exudates in colored retinal images for diagnosis of diabetic retinopathy MU Akram, A Tariq, MA Anjum, MY Javed Applied optics 51 (20), 4858-4866, 2012 | 91 | 2012 |
Lung nodule detection in CT images using neuro fuzzy classifier A Tariq, MU Akram, MY Javed 2013 Fourth International Workshop on Computational Intelligence in Medical …, 2013 | 86 | 2013 |
Automated Detection and Grading of Diabetic Maculopathy in Digital Retinal Images. A Tariq, MU Akram, A Shaukat, SA Khan Journal of digital imaging: the official journal of the Society for Computer …, 2013 | 86 | 2013 |
Glaucoma detection through optic disc and cup segmentation using K-mean clustering J Ayub, J Ahmad, J Muhammad, L Aziz, S Ayub, U Akram, I Basit 2016 international conference on computing, electronic and electrical …, 2016 | 85 | 2016 |
Structure tensor based automated detection of macular edema and central serous retinopathy using optical coherence tomography images B Hassan, G Raja, T Hassan, M Usman Akram Journal of the Optical Society of America A 33 (4), 455-463, 2016 | 85 | 2016 |
Decision support system for detection of hypertensive retinopathy using arteriovenous ratio S Akbar, MU Akram, M Sharif, A Tariq, SA Khan Artificial intelligence in medicine 90, 15-24, 2018 | 84 | 2018 |
Diabetic retinopathy detection through novel tetragonal local octa patterns and extreme learning machines T Nazir, A Irtaza, Z Shabbir, A Javed, U Akram, MT Mahmood Artificial intelligence in medicine 99, 101695, 2019 | 82 | 2019 |