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Muhammad Usman Akram
Muhammad Usman Akram
Professor & Director BIOMISA Research Group, National University of Sciences & Technology
Verified email at ceme.nust.edu.pk - Homepage
Title
Cited by
Cited by
Year
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
3412014
Identification and classification of microaneurysms for early detection of diabetic retinopathy
MU Akram, S Khalid, SA Khan
Pattern recognition 46 (1), 107-116, 2013
3312013
Multilayered thresholding-based blood vessel segmentation for screening of diabetic retinopathy
MU Akram, SA Khan
Engineering with Computers, 1-9, 2011
1682011
Computer aided system for brain tumor detection and segmentation
MU Akram, A Usman
International conference on Computer networks and information technology …, 2011
1502011
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
1432014
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
1402016
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
1272012
Retinal images: optic disk localization and detection
M Usman Akram, A Khan, K Iqbal, W Butt
Image Analysis and Recognition, 40-49, 2010
992010
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
942013
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
932012
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
912018
CNN and LSTM-based emotion charting using physiological signals
MN Dar, MU Akram, SG Khawaja, AN Pujari
Sensors 20 (16), 4551, 2020
892020
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
882018
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
862013
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
842016
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
822016
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
822013
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
802018
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
742019
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
732015
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