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Articles February 2021

Correction for the Influence of Cataract on Macular Pigment Measurement by Autofluorescence Technique Using Deep Learning

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Akira Obana; Kibo Ote; Fumio Hashimoto; Ryo Asaoka; Yuko Gohto; Shigetoshi Okazaki; Hidenao Yamada
TAGS: autofluorescence, cataract, chronic fatigue syndrome, deep learning, macular pigment, surgical procedures, operative, surgery specialty, eye
Trans. Vis. Sci. Tech.. 2021; 10(2):18. doi: https://doi.org/10.1167/tvst.10.2.18

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

Retina August 2020

A Prediction Method of Visual Field Sensitivity Using Fundus Autofluorescence Images in Patients With Retinitis Pigmentosa

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Tatsuya Inoue; Kosuke Nakajima; Yohei Hashimoto; Shotaro Asano; Kohdai Kitamoto; Kunihiro Azuma; Keiko Azuma; Kazuaki Kadonosono; Ryo Obata; Ryo Asaoka
TAGS: datasets, eye, fundus autofluorescence imaging, retinitis pigmentosa, visual fields, training
Invest. Ophthalmol. Vis. Sci.. 2020; 61(10):51. doi: https://doi.org/10.1167/iovs.61.10.51

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

Articles February 2019

A Novel Method for the Objective Identification of Hyperautofluorescent Ring in Retinitis Pigmentosa Using Binarization Processing

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Yohei Hashimoto; Tatsuya Inoue; Takashi Ono; Jinhee Lee; Saori Tsuneyoshi; Asahi Fujita; Yuji Inoue; Shun Ogawa; Ryo Asaoka; Ryo Obata
TAGS: retinitis pigmentosa
Trans. Vis. Sci. Tech.. 2019; 8(1):20. doi: https://doi.org/10.1167/tvst.8.1.20

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

Use of optical coherence tomography angiography to estimate central visual function

Kosuke Nakajima; Shotaro Asano; Tatsuya Inoue; Ryo Obata; Ryo Asaoka; Makoto Aihara

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):29. doi:

ARVO Annual Meeting Abstract July 2018

Investigating the usefulness of fundus autofluorescence in retinitis pigmentosa

Saori Tsuneyoshi; Keiko Azuma; Tatsuya Inoue; Ryo Asaoka; Makoto Aihara; Ryo Obata

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):53. doi:

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

Evaluation of refractive outcomes and ophthalmic parameters after laser treatment for retinopathy of prematurity

Yurika Aoyama; kana kure; Saori Tsuneyoshi; Risako Yamamoto; Aya Sugiura; Ryo Asaoka; Ryo Obata; Tatsuya Inoue; Makoto Aihara

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):3753. 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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Correction for the Influence of Cataract on Macular Pigment Measurement by Autofluorescence Technique Using Deep Learning

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

A Prediction Method of Visual Field Sensitivity Using Fundus Autofluorescence Images in Patients With Retinitis Pigmentosa

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

A Novel Method for the Objective Identification of Hyperautofluorescent Ring in Retinitis Pigmentosa Using Binarization Processing

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

Use of optical coherence tomography angiography to estimate central visual function

Investigating the usefulness of fundus autofluorescence in retinitis pigmentosa

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

Evaluation of refractive outcomes and ophthalmic parameters after laser treatment for retinopathy of prematurity

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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