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
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 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
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
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
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
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
CNN and LSTM-based emotion charting using physiological signals
MN Dar, MU Akram, SG Khawaja, AN Pujari
Sensors 20 (16), 4551, 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
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
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
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
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
Glaucoma detection using novel optic disc localization, hybrid feature set and classification techniques
MU Akram, A Tariq, S Khalid, MY Javed, S Abbas, UU Yasin
Australasian physical & engineering sciences in medicine 38, 643-655, 2015
Decision support system for detection of papilledema through fundus retinal images
S Akbar, MU Akram, M Sharif, A Tariq, UU Yasin
Journal of medical systems 41, 1-16, 2017
The system can't perform the operation now. Try again later.
Articles 1–20