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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

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

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

The relationship between corneal hysteresis and progression of glaucoma after trabeculectomy.

Yuri Fujino; Hiroshi Murata; Masato Matsuura; Ryo Asaoka

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):5894. doi:

Glaucoma June 2018

Mapping the Central 10° Visual Field to the Optic Nerve Head Using the Structure–Function Relationship

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Yuri Fujino; Hiroshi Murata; Masato Matsuura; Mieko Yanagisawa; Nobuyuki Shoji; Kenji Inoue; Junkichi Yamagami; Ryo Asaoka
TAGS: optic disk, visual fields, eye
Invest. Ophthalmol. Vis. Sci.. 2018; 59(7):2801-2807. doi: https://doi.org/10.1167/iovs.17-23485

Glaucoma April 2018

Validating Variational Bayes Linear Regression Method With Multi-Central Datasets

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Hiroshi Murata; Linda M. Zangwill; Yuri Fujino; Masato Matsuura; Atsuya Miki; Kazunori Hirasawa; Masaki Tanito; Shiro Mizoue; Kazuhiko Mori; Katsuyoshi Suzuki; Takehiro Yamashita; Kenji Kashiwagi; Nobuyuki Shoji; Ryo Asaoka
TAGS: datasets, linear regression
Invest. Ophthalmol. Vis. Sci.. 2018; 59(5):1897-1904. doi: https://doi.org/10.1167/iovs.17-22907

Glaucoma March 2018

Asymmetric Patterns of Visual Field Defect in Primary Open-Angle and Primary Angle-Closure Glaucoma

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Siamak Yousefi; Hiroshi Sakai; Hiroshi Murata; Yuri Fujino; David Garway-Heath; Robert Weinreb; Ryo Asaoka
TAGS: angle closure glaucoma, eye, open-angle glaucoma, scotoma, visual field defects, maximum tolerated dose, glaucoma, depression, post-stroke
Invest. Ophthalmol. Vis. Sci.. 2018; 59(3):1279-1287. doi: https://doi.org/10.1167/iovs.17-22980

Glaucoma January 2018

Changes in Axial Length and Progression of Visual Field Damage in Glaucoma

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Mieko Yanagisawa; Takehiro Yamashita; Masato Matsuura; Yuri Fujino; Hiroshi Murata; Ryo Asaoka
TAGS: eye, glaucoma, intraocular pressure, maximum tolerated dose, visual fields
Invest. Ophthalmol. Vis. Sci.. 2018; 59(1):407-417. doi: https://doi.org/10.1167/iovs.17-22949

Articles October 2017

Goldmann V Standard Automated Perimetry Underestimates Central Visual Sensitivity in Glaucomatous Eyes with Increased Axial Length

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Mieko Yanagisawa; Hiroshi Murata; Masato Matsuura; Yuri Fujino; Kazunori Hirasawa; Ryo Asaoka
TAGS: eye, glaucoma, perimetry
Trans. Vis. Sci. Tech.. 2017; 6(5):13. doi: https://doi.org/10.1167/tvst.6.5.13

ARVO Annual Meeting Abstract June 2017

An individualized test to detect glaucoma progression in visual fields

Siamak Yousefi; Hiroshi Murata; Yuri Fujino; Ryo Asaoka

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):2865. doi:

ARVO Annual Meeting Abstract June 2017

Verification of the variational Bayes linear regression using the DIGS and the UKGTS datasets

Hiroshi Murata; Yuri Fujino; Linda M Zangwill; David Garway-Heath; Ryo Asaoka

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):2868. doi:

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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

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

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

The relationship between corneal hysteresis and progression of glaucoma after trabeculectomy.

Mapping the Central 10° Visual Field to the Optic Nerve Head Using the Structure–Function Relationship

Validating Variational Bayes Linear Regression Method With Multi-Central Datasets

Asymmetric Patterns of Visual Field Defect in Primary Open-Angle and Primary Angle-Closure Glaucoma

Changes in Axial Length and Progression of Visual Field Damage in Glaucoma

Goldmann V Standard Automated Perimetry Underestimates Central Visual Sensitivity in Glaucomatous Eyes with Increased Axial Length

An individualized test to detect glaucoma progression in visual fields

Verification of the variational Bayes linear regression using the DIGS and the UKGTS datasets

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