Vol. 1 No. 3 (2017)
Modeling and Artificial Intelligence in Ophthalmology
Modeling and Artificial Intelligence in Ophthalmology
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Vol. 1 No. 3 (2017)
Published June 19, 2017
https://doi.org/10.35119/maio.v1i3
Full Issue
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Editorial
Cerebrospinal fluid pressure and glaucoma
Ningli Wang, Diya Yang
4-8
https://doi.org/10.35119/maio.v1i3.49
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Original Articles
Electrophysiological evaluation in normal-tension glaucoma suspects: a pilot study
Dario Messenio, Giuseppe Marano, Elia Biganzoli
9-30
https://doi.org/10.35119/maio.v1i3.33
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Equilibrium shape of the aqueous humor-vitreous substitute interface in vitrectomized eyes
Krystyna Isakova, Jan O. Pralits, Mario R. Romano, Jan-Willem M. Beenakker, Denis P. Shamonin, Rodolfo Repetto
31-46
https://doi.org/10.35119/maio.v1i3.36
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Correlation and agreement between the 24-hour diurnal tension curve, the water-drinking test, and the postural-change test in glaucoma patients
Fauze A. Goncalves, Fernando Henrique R. Amorim, Camila S. Zangalli, Jose Paulo C. Vasconcellos, Vital P. Costa
47-59
https://doi.org/10.35119/maio.v1i3.37
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Blink characterization using curve fitting and clustering algorithms
Joseph K. Brosch, Ziwei Wu, Carolyn G. Begley, Tobin A. Driscoll, Richard J. Braun
60-81
https://doi.org/10.35119/maio.v1i3.38
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Selective fusion of structural and functional data for improved glaucoma detection
Paul Y. Kim, Khan M. Iftekharuddin, Pinakin G. Davey, Gabor Holló, Martha Tóth, Anita Garas, Edward A. Essock
82-99
https://doi.org/10.35119/maio.v1i3.40
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An imaged-based inverse finite element method to determine in-vivo mechanical properties of the human trabecular meshwork
Anup D. Pant, Larry Kagemann, Joel S. Schuman, Ian A. Sigal, Rouzbeh Amini
100-111
https://doi.org/10.35119/maio.v1i3.48
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