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Glaucoma October 2022

The Association Between Age and Systemic Variables and the Longitudinal Trend of Intraocular Pressure in a Large-Scale Health Examination Cohort

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Ryo Asaoka; Akira Obana; Hiroshi Murata; Yuri Fujino; Takashi Omoto; Shuichiro Aoki; Shigetaka Muto; Yuji Takayanagi; Tatsuya Inoue; Masaki Tanito
TAGS: cohort studies, health, intraocular pressure, trend
Invest. Ophthalmol. Vis. Sci.. 2022; 63(11):22. doi: https://doi.org/10.1167/iovs.63.11.22

Articles November 2021

Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual Field

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Yohei Hashimoto; Taichi Kiwaki; Hiroki Sugiura; Shotaro Asano; Hiroshi Murata; Yuri Fujino; Masato Matsuura; Atsuya Miki; Kazuhiko Mori; Yoko Ikeda; Takashi Kanamoto; Junkichi Yamagami; Kenji Inoue; Masaki Tanito; Kenji Yamanishi; Ryo Asaoka
TAGS: datasets, deep learning, glaucoma, optical coherence tomography, visual fields, eye, spectral domain-optical coherence tomography, laboratory test finding
Trans. Vis. Sci. Tech.. 2021; 10(13):28. doi: https://doi.org/10.1167/tvst.10.13.28

Articles November 2021

Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method

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Shotaro Asano; Akio Oishi; Ryo Asaoka; Yuri Fujino; Hiroshi Murata; Keiko Azuma; Manabu Miyata; Ryo Obata; Tatsuya Inoue
TAGS: linear regression, passive leg raising, pupil light reflex, retinitis pigmentosa, trend, visual fields, eye
Trans. Vis. Sci. Tech.. 2021; 10(13):15. doi: https://doi.org/10.1167/tvst.10.13.15

Glaucoma September 2021

The Relationship Between Optic Disc and Retinal Artery Position and Glaucomatous Visual Field Progression

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Yuri Fujino; Ryo Asaoka; Hiroshi Murata; Takehiro Yamashita
TAGS: central retinal artery, glaucoma, intraocular pressure, optic disk, retina, visual fields, maximum tolerated dose
Invest. Ophthalmol. Vis. Sci.. 2021; 62(12):6. doi: https://doi.org/10.1167/iovs.62.12.6

ARVO Annual Meeting Abstract June 2021

The usefulness of a new visual field measurement algorithm “smart Strategy Alpha” using the Variational Bayes Linear Regression in comparing with the conventional algorithm in healthy subjects

Satoshi Shimada; Ryo Asaoka; Hiroshi Murata; Yuri Fujino; Masato Matsuura; Kazunori Hirasawa; Nobuyuki Shoji

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3382. doi:

Glaucoma June 2021

Biomechanical Glaucoma Factor and Corneal Hysteresis in Treated Primary Open-Angle Glaucoma and Their Associations With Visual Field Progression

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Shuichiro Aoki; Atsuya Miki; Takashi Omoto; Yuri Fujino; Masato Matsuura; Hiroshi Murata; Ryo Asaoka
TAGS: corneal hysteresis, eye, glaucoma, open-angle glaucoma, visual fields, datasets
Invest. Ophthalmol. Vis. Sci.. 2021; 62(7):4. doi: https://doi.org/10.1167/iovs.62.7.4

Glaucoma September 2020

Relationship Between Macular Ganglion Cell Thickness and Ocular Elongation as Measured by Axial Length and Retinal Artery Position

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Takashi Omoto; Hiroshi Murata; Yuri Fujino; Masato Matsuura; Takashi Fujishiro; Kazunori Hirasawa; Takehiro Yamashita; Takashi Kanamoto; Atsuya Miki; Yoko Ikeda; Kazuhiko Mori; Masaki Tanito; Kenji Inoue; Junkichi Yamagami; Ryo Asaoka
TAGS: central retinal artery, eye, ganglia
Invest. Ophthalmol. Vis. Sci.. 2020; 61(11):16. doi: https://doi.org/10.1167/iovs.61.11.16

Special Issue April 2020

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms

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Mark Christopher; Kenichi Nakahara; Christopher Bowd; James A. Proudfoot; Akram Belghith; Michael H. Goldbaum; Jasmin Rezapour; Robert N. Weinreb; Massimo A. Fazio; Christopher A. Girkin; Jeffrey M. Liebmann; Gustavo De Moraes; Hiroshi Murata; Kana Tokumo; Naoto Shibata; Yuri Fujino; Masato Matsuura; Yoshiaki Kiuchi; Masaki Tanito; Ryo Asaoka; Linda M. Zangwill
TAGS: datasets, deep learning, glaucoma, training, study population
Trans. Vis. Sci. Tech.. 2020; 9(2):27. doi: https://doi.org/10.1167/tvst.9.2.27

Includes: Supplemental Content

Glaucoma April 2020

Comparing Structure-Function Relationships Based on Drasdo's and Sjöstrand's Retinal Ganglion Cell Displacement Models

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Kazunori Hirasawa; Masato Matsuura; Yuri Fujino; Mieko Yanagisawa; Takashi Kanamoto; Kenji Inoue; Miki Nagumo; Junkichi Yamagami; Takehiro Yamashita; Hiroshi Murata; Ryo Asaoka
TAGS: eye, fovea centralis, retinal ganglion cells, displacements, glaucoma, retina, visual fields
Invest. Ophthalmol. Vis. Sci.. 2020; 61(4):10. doi: https://doi.org/10.1167/iovs.61.4.10

Glaucoma March 2020

Evaluation of Fear of Falling in Patients with Primary Open-Angle Glaucoma and the Importance of Inferior Visual Field Damage

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Kenya Yuki; Ryo Asaoka; Takeshi Ono; Sachiko Awano-Tanabe; Hiroshi Murata; Kazuo Tsubota
TAGS: fear of falling, open-angle glaucoma, visual fields, glaucoma
Invest. Ophthalmol. Vis. Sci.. 2020; 61(3):52. doi: https://doi.org/10.1167/iovs.61.3.52

Special Issue January 2020

Factors in Color Fundus Photographs That Can Be Used by Humans to Determine Sex of Individuals

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Takehiro Yamashita; Ryo Asaoka; Hiroto Terasaki; Hiroshi Murata; Minoru Tanaka; Kumiko Nakao; Taiji Sakamoto
TAGS: central retinal artery, color, fundus photography, sex, optic disk, eye
Trans. Vis. Sci. Tech.. 2020; 9(2):4. doi: https://doi.org/10.1167/tvst.9.2.4

Articles August 2019

Correlation Between the Myopic Retinal Deformation and Corneal Biomechanical Characteristics Measured With the Corvis ST Tonometry

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Shotaro Asano; Ryo Asaoka; Takehiro Yamashita; Shuichiro Aoki; Masato Matsuura; Yuri Fujino; Hiroshi Murata; Shunsuke Nakakura; Yoshitaka Nakao; Yoshiaki Kiuchi
TAGS: cornea, tonometry, refractive errors, eye
Trans. Vis. Sci. Tech.. 2019; 8(4):26. doi: https://doi.org/10.1167/tvst.8.4.26

ARVO Annual Meeting Abstract July 2019

Comparison of standard automated perimetry and short wavelength automated perimetryto evaluate the structure-function relationship in retinitis pigmentosa

So Makino; Tatsuya Inoue; Han Peng Zhou; Takumi Hara; Hiroshi Murata; Ryo Asaoka; Ryo Obata

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4484. doi:

ARVO Annual Meeting Abstract July 2019

Short wavelength automated perimetry and standard achromatic perimetry in central serous chorioretinopathy

Han Peng Zhou; Tatsuya Inoue; Ryo Asaoka; Takumi Hara; So Makino; Hiroshi Murata; Ryo Obata

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5038. doi:

Articles June 2019

Repeatability of the Novel Intraocular Pressure Measurement From Corvis ST

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Masato Matsuura; Hiroshi Murata; Yuri Fujino; Mieko Yanagisawa; Yoshitaka Nakao; Shunsuke Nakakura; Yoshiaki Kiuchi; Ryo Asaoka
TAGS: intraocular pressure, tonometry, glaucoma, cornea
Trans. Vis. Sci. Tech.. 2019; 8(3):48. doi: https://doi.org/10.1167/tvst.8.3.48

Articles April 2019

Relationship Between the Shift of the Retinal Artery Associated With Myopia and Ocular Response Analyzer Waveform Parameters

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Shotaro Asano; Ryo Asaoka; Takehiro Yamashita; Shuichiro Aoki; Masato Matsuura; Yuri Fujino; Hiroshi Murata; Shunsuke Nakakura; Yoshitaka Nakao; Yoshiaki Kiuchi
TAGS: central retinal artery, myopia, waveforms, eye, cornea
Trans. Vis. Sci. Tech.. 2019; 8(2):15. doi: https://doi.org/10.1167/tvst.8.2.15

Glaucoma December 2018

Rates of Visual Field Loss in Primary Open-Angle Glaucoma and Primary Angle-Closure Glaucoma: Asymmetric Patterns

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Siamak Yousefi; Hiroshi Sakai; Hiroshi Murata; Yuri Fujino; Masato Matsuura; David Garway-Heath; Robert Weinreb; Ryo Asaoka
TAGS: open-angle glaucoma, eye, visual fields, blindness, angle closure glaucoma
Invest. Ophthalmol. Vis. Sci.. 2018; 59(15):5717-5725. doi: https://doi.org/10.1167/iovs.18-25140

ARVO Annual Meeting Abstract July 2018

Construction of a deep learning algorithm to automatically diagnose glaucoma using a fundus photograph.

Ryo Asaoka; Naoto Shibata; Hiroshi Murata; Masaki Tanito

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):3024. doi:

ARVO Annual Meeting Abstract July 2018

Corneal biochemical analysis and relationship between as needed intravitreous anti-VEGF injections in patients with Angioid Streaks

Shotaro Asano; Kosuke Nakajima; Kana Kure; Keiko Azuma; Kimiko Shimizu; Hiroshi Murata; Tatsuya Inoue; Ryo Obata; Makoto Aihara; Ryo Asaoka

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):4295. doi:

ARVO Annual Meeting Abstract July 2018

Validating variational Bayes linear regression model with 10-2

Hiroshi Murata; Ryo Asaoka

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):5118. doi:

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The Association Between Age and Systemic Variables and the Longitudinal Trend of Intraocular Pressure in a Large-Scale Health Examination Cohort

Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual Field

Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method

The Relationship Between Optic Disc and Retinal Artery Position and Glaucomatous Visual Field Progression

The usefulness of a new visual field measurement algorithm “smart Strategy Alpha” using the Variational Bayes Linear Regression in comparing with the conventional algorithm in healthy subjects

Biomechanical Glaucoma Factor and Corneal Hysteresis in Treated Primary Open-Angle Glaucoma and Their Associations With Visual Field Progression

Relationship Between Macular Ganglion Cell Thickness and Ocular Elongation as Measured by Axial Length and Retinal Artery Position

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms

Comparing Structure-Function Relationships Based on Drasdo's and Sjöstrand's Retinal Ganglion Cell Displacement Models

Evaluation of Fear of Falling in Patients with Primary Open-Angle Glaucoma and the Importance of Inferior Visual Field Damage

Factors in Color Fundus Photographs That Can Be Used by Humans to Determine Sex of Individuals

Correlation Between the Myopic Retinal Deformation and Corneal Biomechanical Characteristics Measured With the Corvis ST Tonometry

Comparison of standard automated perimetry and short wavelength automated perimetryto evaluate the structure-function relationship in retinitis pigmentosa

Short wavelength automated perimetry and standard achromatic perimetry in central serous chorioretinopathy

Repeatability of the Novel Intraocular Pressure Measurement From Corvis ST

Relationship Between the Shift of the Retinal Artery Associated With Myopia and Ocular Response Analyzer Waveform Parameters

Rates of Visual Field Loss in Primary Open-Angle Glaucoma and Primary Angle-Closure Glaucoma: Asymmetric Patterns

Construction of a deep learning algorithm to automatically diagnose glaucoma using a fundus photograph.

Corneal biochemical analysis and relationship between as needed intravitreous anti-VEGF injections in patients with Angioid Streaks

Validating variational Bayes linear regression model with 10-2

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