Muhammad Usman Akram
Muhammad Usman Akram
Associate Professor & Director BIOMISA Research Group, National University of Sciences & Technology
Verified email at - Homepage
Cited by
Cited by
Identification and classification of microaneurysms for early detection of diabetic retinopathy
MU Akram, S Khalid, SA Khan
Pattern Recognition 46 (1), 107-116, 2013
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
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
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
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), 1-21, 2016
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
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
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
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
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
Retinal image preprocessing: background and noise segmentation
I Jamal, MU Akram, A Tariq
Telkomnika 10 (3), 537-544, 2012
Improved fingerprint image segmentation using new modified gradient based technique
MU Akram, S Nasir, A Tariq, I Zafar, WS Khan
2008 Canadian Conference on Electrical and Computer Engineering, 001967-001972, 2008
An automated system for colored retinal image background and noise segmentation
A Tariq, MU Akram
2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA), 423-427, 2010
DeVANET: decentralized software-defined VANET architecture
A Kazmi, MA Khan, MU Akram
2016 IEEE International Conference on Cloud Engineering Workshop (IC2EW), 42-47, 2016
Personal identification system based on vascular pattern of human retina
S Qamber, Z Waheed, MU Akram
2012 Cairo International Biomedical Engineering Conference (CIBEC), 64-67, 2012
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 (4), 643-655, 2015
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