Muhammad Moazam Fraz
Cited by
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Blood vessel segmentation methodologies in retinal images–a survey
MM Fraz, P Remagnino, A Hoppe, B Uyyanonvara, AR Rudnicka, ...
Computer methods and programs in biomedicine 108 (1), 407-433, 2012
An ensemble classification-based approach applied to retinal blood vessel segmentation
MM Fraz, P Remagnino, A Hoppe, B Uyyanonvara, AR Rudnicka, ...
IEEE Transactions on Biomedical Engineering 59 (9), 2538-2548, 2012
An approach to localize the retinal blood vessels using bit planes and centerline detection
MM Fraz, SA Barman, P Remagnino, A Hoppe, A Basit, B Uyyanonvara, ...
Computer methods and programs in biomedicine 108 (2), 600-616, 2012
Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathy
RA Welikala, MM Fraz, J Dehmeshki, A Hoppe, V Tah, S Mann, ...
Computerized Medical Imaging and Graphics 43, 64-77, 2015
Application of morphological bit planes in retinal blood vessel extraction
MM Fraz, A Basit, SA Barman
Journal of digital imaging 26 (2), 274-286, 2013
Localization and segmentation of optic disc in retinal images using circular Hough transform and grow-cut algorithm
M Abdullah, MM Fraz, SA Barman
PeerJ 4, e2003, 2016
Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification
MM Fraz, AR Rudnicka, CG Owen, SA Barman
International journal of computer assisted radiology and surgery 9 (5), 795-811, 2014
Multiscale segmentation of exudates in retinal images using contextual cues and ensemble classification
MM Fraz, W Jahangir, S Zahid, MM Hamayun, SA Barman
Biomedical Signal Processing and Control 35, 50-62, 2017
A novel digital score for abundance of tumour infiltrating lymphocytes predicts disease free survival in oral squamous cell carcinoma
M Shaban, SA Khurram, MM Fraz, N Alsubaie, I Masood, S Mushtaq, ...
Scientific reports 9 (1), 1-13, 2019
QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size–an automated system for quantification of retinal vessels morphology
MM Fraz, RA Welikala, AR Rudnicka, CG Owen, DP Strachan, SA Barman
Expert Systems with Applications 42 (20), 7221-7234, 2015
Context-aware convolutional neural network for grading of colorectal cancer histology images
M Shaban, R Awan, MM Fraz, A Azam, YW Tsang, D Snead, NM Rajpoot
IEEE transactions on medical imaging 39 (7), 2395-2405, 2020
Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies
RA Welikala, MM Fraz, PJ Foster, PH Whincup, AR Rudnicka, CG Owen, ...
Computers in biology and medicine 71, 67-76, 2016
A supervised method for retinal blood vessel segmentation using line strength, multiscale Gabor and morphological features
MM Fraz, P Remagnino, A Hoppe, S Velastin, B Uyyanonvara, ...
2011 IEEE International Conference on Signal and Image Processing …, 2011
Retinal vessel extraction using first-order derivative of Gaussian and morphological processing
MM Fraz, P Remagnino, A Hoppe, B Uyyanonvara, CG Owen, ...
International Symposium on Visual Computing, 410-420, 2011
Cellular community detection for tissue phenotyping in colorectal cancer histology images
S Javed, A Mahmood, MM Fraz, NA Koohbanani, K Benes, YW Tsang, ...
Medical image analysis 63, 101696, 2020
Optic disc detection and boundary extraction in retinal images
A Basit, MM Fraz
Applied optics 54 (11), 3440-3447, 2015
Vr-proud: Vehicle re-identification using progressive unsupervised deep architecture
RMS Bashir, M Shahzad, MM Fraz
Pattern Recognition 90, 52-65, 2019
Evaluation of retinal vessel segmentation methodologies based on combination of vessel centerlines and morphological processing
MM Fraz, MY Javed, A Basit
2008 4th International Conference on Emerging Technologies, 232-236, 2008
Automated arteriole and venule recognition in retinal images using ensemble classification
MM Fraz, AR Rudnicka, CG Owen, DP Strachan, SA Barman
2014 International Conference on Computer Vision Theory and Applications …, 2014
Retinal image analysis aimed at extraction of vascular structure using linear discriminant classifier
MM Fraz, P Remagnino, A Hoppe, SA Barman
2013 International Conference on Computer Medical Applications (ICCMA), 1-6, 2013
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