- Methodologies for segmentation and classification of retinal anatomical structures i.e blood vessels, optic disc, optic cup, pathologies (exudates, drusens) and neovascularization
- The morphometric and topological analysis of retinal structures, which can give insight about early detection and grading of various retinal and systemic disease, including diabetic and hypertensive retinopathy.
- Automated system for quantification of retinal vessels morphology, topology and size, which can be used by epidemiologists to identify digital biomarkers
- M.M. Fraz , M. Badar, A.W. Malik, S. A. Barman , “Computational Methods for Exudates Detection and Macular Edema Estimation in Retinal Images: A Survey”, Archives of Computational Methods in Engineering, Vol. 26 , No. 4, PP. 1193–1220, Sep, 2019. IF: 7.242
- S. A. Badawi and M. M. Fraz , “Multiloss Function Based Deep Convolutional Neural Network for Segmentation of Retinal Vasculature into Arterioles and Venules”, BioMed Research International, Vol. 2019 , No. 1, PP. 17, Apr, 2019. IF: 2.197
- Christopher G Owen, Alicja R Rudnicka, Roshan A Welikala, M. Moazam Fraz, Sarah A Barman , Robert Luben, Shabina A Hayat, Kay-Tee Khaw, David P Strachan, Peter H Whincup, Paul J Foster , “Retinal vasculometry associations with cardiometabolic risk factors in the European Prospective Investigation of Cancer Norfolk study”, Ophthalmology, Vol. 126 , No. 1, PP. 96-106, Jan, 2019. IF: 7.732
- M. M Fraz , W. Jahangir, S. Zahid, M. M. Hamayun, S. A. Barman , “Multiscale segmentation of exudates in retinal images using contextual cues and ensemble classification”, Biomedical Signal Processing and Control, Vol. 35 , No. 1, PP. 50-62, May, 2017. IF: 2.943
- M.M. Fraz , R.A. Welikala, A.R. Rudnicka, C.G. Owen, D.P. Strachan, S.A. Barman , “QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size – An automated system for quantification of retinal vessels morphology”, Expert Systems with Applications, Vol. 42 , No. 20, PP. 7221, Nov, 2015. IF: 4.292
- M.M. Fraz , A. R. Rudnicka, C. G. Owen, S. A. Barman , “Delineation of blood vessels in paediatric retinal images using decision trees-based ensemble classification.”, International journal of computer assisted radiology and surgery, Vol. 9 , No. 5, PP. 795-811, Sep, 2014. IF: 2.155
- M.M. Fraz , A. Basit, S. A. Barman , “Application of Morphological Bit Planes in Retinal Blood Vessel Extraction”, Journal of Digital Imaging, Vol. 26 , No. 2, PP. 274-286, Apr, 2013. IF: 2.572
- M.M. Fraz , P. Remagnino, A. Hoppe, A. Rudnicka, C.G. Owen, P. H. Whincup, S.A. Barman, “Quantification of blood vessel calibre in retinal images of multi-ethnic school children using model based approach”, Computerized Medical Imaging and Graphics, Vol. 37, No. 1, PP. 48-60, Jan, 2013. IF: 3.298(27.)
- M.M. Fraz , S.A. Barman, P. Remagnino, A. Hoppe, A. Basit, B. Uyyanonvara, A.R. Rudnicka, C.G. Owen , “An approach to localize the retinal blood vessels using bit planes and centerline detection”, Computer Methods and Programs in Biomedicine, Vol. 108 , No. 2, PP. 600-616, Nov, 2012. IF: 3.424
- M.M. Fraz , P. Remagnino, A. Hoppe, B. Uyyanonvara, A.R. Rudnicka, C.G. Owen, S.A. Barman, “Blood vessel segmentation methodologies in retinal images – A survey”, Computer Methods and Programs in Biomedicine, Vol. 108 , No. 1, PP. 407-433, Oct, 2012. IF: 3.424
- M.M. Fraz , P. Remagnino, A. Hoppe, B. Uyyanonvara, A.R. Rudnicka, C.G. Owen, S.A. Barman, “An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation”, IEEE Transactions on Biomedical Engineering, Vol. 59 , No. 9, PP. 2538-2548, Sep, 2012. IF: 4.491