Publications
Performance evaluation of Octopus standard and TOP strategies. PERIMETRY UPDATE. 2001:161–168.
. Long-term fluctuation in short-wavelength automated perimetry in glaucoma suspects and glaucoma patients. Investigative ophthalmology & visual science. 2001;42(10):2332–2337.
. The long-term fluctuation of the visual field in stable glaucoma. Investigative ophthalmology & visual science. 2000;41(11):3429–3436.
. . Magnitude of short- and long-term fluctuation in normals and in glaucoma for SITA-standard and SITA-fast perimetry. Optometry and Vision Science. 2000;77.
Horizontal saccade dynamics across the human life span. Investigative ophthalmology & visual science. 2006;47(6):2478–2484.
. Are the fluctuations in dynamic anterior surface aberrations of the human eye chaotic?. Optics letters. 2013;38(24):5208–5211.
. Analysis of Interocular Ocular Surface Aberrations Using Surface Aberrometry. Investigative Ophthalmology & Visual Science. 2013;54(15):2608–2608.
. Outcomes of wavefront-guided laser in situ keratomileusis for hyperopia. Journal of Cataract & Refractive Surgery. 2011;37(5):886–893.
. Ridge-branch-based blood vessel detection algorithm for multimodal retinal images. In: Proceedings of SPIE.Vol 7259.; 2009:72594K.
The effect of blood vessels on the computation of the scanning laser ophthalmoscope retinal thickness map. In: Proceedings of SPIE.Vol 6514.; 2007:65142X.
. Mixed model analysis of between-subject variability in overnight corneal swelling and deswelling with silicone hydrogel lenses. Investigative Ophthalmology and Visual Science. 2018;59:2576-2585.
. Mixed model analysis of corneal deswelling following overnight wear of silicone hydrogel lenses. In: Investigative Ophthalmology & Visual Science.Vol 57. The Association for Research in Vision and Ophthalmology; 2016:1491–1491.
. Wavefront aberrations with incomplete Hartmann-Shack sensor data. Asian J Phys. 2019;28(7-9):689-699. Available at: http://demo050307.hostgator.co.in/content2/vol-28-2019/vol-28-nos-7-9.
. Pupil scaling for the estimation of aberrations in natural pupils. Optometry & Vision Science. 2014;91(10):1175–1182.
. Grading Bulbar Redness Using Cross-Calibrated Clinical Grading Scales. Investigative ophthalmology & visual science. 2011;52(8):5812–5817.
. The conversion of bulbar redness grades using psychophysical scaling. Optometry & Vision Science. 2010;87(3):159.
. The perceived bulbar redness of clinical grading scales. Optometry & Vision Science. 2009;86(11):E1250.
. The use of fractal analysis and photometry to estimate the accuracy of bulbar redness grading scales. Investigative ophthalmology & visual science. 2008;49(4):1398–1406.
. THE ACCURACY OF MULTIPLE LINEAR REGRESSION ANALYSIS OF VISUAL FIELD PROGRESSION IMPROVES WITH EQUAL INTERTEST INTERVAL. Optometry and Vision Science. 2001;78:104. Available at: https://doi.org/10.1097%2F00006324-200112001-00157.
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