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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: myopia, central retinal artery, cornea, eye, waveforms
Trans. Vis. Sci. Tech.. 2019; 8(2):15. doi: 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: 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: blindness, open-angle glaucoma, visual fields, eye, angle closure glaucoma
Invest. Ophthalmol. Vis. Sci.. 2018; 59(15):5717-5725. doi: 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

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:

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:

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: 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: linear regression, datasets
Invest. Ophthalmol. Vis. Sci.. 2018; 59(5):1897-1904. doi: 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, glaucoma, open-angle glaucoma, maximum tolerated dose, scotoma, eye, visual field defects, depression, post-stroke, persistent speech disorders
Invest. Ophthalmol. Vis. Sci.. 2018; 59(3):1279-1287. doi: 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: glaucoma, maximum tolerated dose, visual fields, eye, intraocular pressure
Invest. Ophthalmol. Vis. Sci.. 2018; 59(1):407-417. doi: 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: glaucoma, perimetry, eye
Trans. Vis. Sci. Tech.. 2017; 6(5):13. doi: 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:

ARVO Annual Meeting Abstract June 2017

The influence of infrequent testing on detecting glaucomatous visual field progression

Andrew J Anderson; Rashima Asokan; Hiroshi Murata; Ryo Asaoka

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):2861. doi:

ARVO Annual Meeting Abstract June 2017

The usefulness of cluster-based trend analysis in assessing visual field progression in open-angle glaucoma

Shuichiro Aoki; Hiroshi Murata; Yuri Fujino; Masato Matsuura; Atsuya Miki; Masaki Tanito; Shiro Mizoue; Kazuhiko Mori; Katsuyoshi Suzuki; Takehiro Yamashita; Kenji Kashiwagi; Kazunori Hirasawa; Nobuyuki Shoji; Ryo Asaoka

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):2862. doi:

ARVO Annual Meeting Abstract June 2017

The relationship between the retinal structure and visual field measured with the microperimetry: MP-3, in patients with retinitis pigmentosa.

Yuichi Asahina; Hiroshi Murata; Ryo Obata; Tatsuya Inoue; Ryo Asaoka

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):3242. doi:

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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

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

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

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

The influence of infrequent testing on detecting glaucomatous visual field progression

The usefulness of cluster-based trend analysis in assessing visual field progression in open-angle glaucoma

The relationship between the retinal structure and visual field measured with the microperimetry: MP-3, in patients with retinitis pigmentosa.

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