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S A Barman

Showing results (31-40 of 43) with videos related to

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Texas Heart Institute Journal|January 1, 1989
Nerve-sparing dissection as alternative to anesthesia of carotid sinus nerve in preparation for carotid endarterectomyA A Barman, A S Moideen, S S Chaudhry, et al.
Investigative Ophthalmology & Visual Science|October 29, 2000
Quantification of posterior capsular opacification in digital images after cataract surgeryS A Barman, E J Hollick, J F Boyce, et al.
American Journal of Ophthalmology|June 14, 2000
Posterior capsular opacification with hydrogel, polymethylmethacrylate, and silicone intraocular lenses: two-year results of a randomized prospective trialE J Hollick, D J Spalton, P G Ursell, et al.
Computer Methods and Programs in Biomedicine|April 25, 2012
Blood vessel segmentation methodologies in retinal images--a surveyM M Fraz, P Remagnino, A Hoppe, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 16, 2013
Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approachM M Fraz, P Remagnino, A Hoppe, et al.
Computer Methods and Programs in Biomedicine|October 4, 2011
An approach to localize the retinal blood vessels using bit planes and centerline detectionM M Fraz, S A Barman, P Remagnino, et al.
Ophthalmology|January 26, 1999
The effect of polymethylmethacrylate, silicone, and polyacrylic intraocular lenses on posterior capsular opacification 3 years after cataract surgeryE J Hollick, D J Spalton, P G Ursell, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 5, 2015
Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathyR A Welikala, M M Fraz, J Dehmeshki, et al.
Computers in Biology and Medicine|September 17, 2017
Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohortR A Welikala, P J Foster, P H Whincup, et al.
Computers in Biology and Medicine|February 20, 2016
Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studiesR A Welikala, M M Fraz, P J Foster, et al.
Pageof 5

Showing results (31-40 of 43) with videos related to

Sort By:
Pageof 5
Texas Heart Institute Journal|January 1, 1989
Nerve-sparing dissection as alternative to anesthesia of carotid sinus nerve in preparation for carotid endarterectomyA A Barman, A S Moideen, S S Chaudhry, et al.
Investigative Ophthalmology & Visual Science|October 29, 2000
Quantification of posterior capsular opacification in digital images after cataract surgeryS A Barman, E J Hollick, J F Boyce, et al.
American Journal of Ophthalmology|June 14, 2000
Posterior capsular opacification with hydrogel, polymethylmethacrylate, and silicone intraocular lenses: two-year results of a randomized prospective trialE J Hollick, D J Spalton, P G Ursell, et al.
Computer Methods and Programs in Biomedicine|April 25, 2012
Blood vessel segmentation methodologies in retinal images--a surveyM M Fraz, P Remagnino, A Hoppe, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 16, 2013
Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approachM M Fraz, P Remagnino, A Hoppe, et al.
Computer Methods and Programs in Biomedicine|October 4, 2011
An approach to localize the retinal blood vessels using bit planes and centerline detectionM M Fraz, S A Barman, P Remagnino, et al.
Ophthalmology|January 26, 1999
The effect of polymethylmethacrylate, silicone, and polyacrylic intraocular lenses on posterior capsular opacification 3 years after cataract surgeryE J Hollick, D J Spalton, P G Ursell, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 5, 2015
Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathyR A Welikala, M M Fraz, J Dehmeshki, et al.
Computers in Biology and Medicine|September 17, 2017
Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohortR A Welikala, P J Foster, P H Whincup, et al.
Computers in Biology and Medicine|February 20, 2016
Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studiesR A Welikala, M M Fraz, P J Foster, et al.
Pageof 5