Muhammad Usman Akram
Muhammad Usman Akram
Professor & Director BIOMISA Research Group, National University of Sciences & Technology
Verified email at - Homepage
Cited by
Cited by
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
Identification and classification of microaneurysms for early detection of diabetic retinopathy
MU Akram, S Khalid, SA Khan
Pattern recognition 46 (1), 107-116, 2013
Multilayered thresholding-based blood vessel segmentation for screening of diabetic retinopathy
MU Akram, SA Khan
Engineering with Computers, 1-9, 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
Computer aided system for brain tumor detection and segmentation
MU Akram, A Usman
International conference on Computer networks and information technology …, 2011
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
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
Retinal images: optic disk localization and detection
M Usman Akram, A Khan, K Iqbal, W Butt
Image Analysis and Recognition, 40-49, 2010
CNN and LSTM-based emotion charting using physiological signals
MN Dar, MU Akram, SG Khawaja, AN Pujari
Sensors 20 (16), 4551, 2020
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
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
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
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
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
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
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
Structure tensor based automated detection of macular edema and central serous retinopathy using optical coherence tomography images
B Hassan, G Raja, T Hassan, MU Akram
JOSA A 33 (4), 455-463, 2016
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
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
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
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