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Murata H 11
Showing records 1 to 11 | Display all abstracts from Murata H69168 Adjusting Circumpapillary Retinal Nerve Fiber Layer Profile Using Retinal Artery Position Improves the Structure-Function Relationship in Glaucoma
Fujino Y
Investigative Ophthalmology and Visual Science 2016; 57: 3152-3158
69301 Detecting Preperimetric Glaucoma with Standard Automated Perimetry Using a Deep Learning Classifier
Asaoka R
Ophthalmology 2016; 123: 1974-1980
69197 Estimating the Binocular Visual Field of Glaucoma Patients With an Adjustment for Ocular Dominance
Matsuura M; Hirasawa K
Investigative Ophthalmology and Visual Science 2016; 57: 3276-3281
69301 Detecting Preperimetric Glaucoma with Standard Automated Perimetry Using a Deep Learning Classifier
Murata H
Ophthalmology 2016; 123: 1974-1980
69168 Adjusting Circumpapillary Retinal Nerve Fiber Layer Profile Using Retinal Artery Position Improves the Structure-Function Relationship in Glaucoma
Yamashita T
Investigative Ophthalmology and Visual Science 2016; 57: 3152-3158
69301 Detecting Preperimetric Glaucoma with Standard Automated Perimetry Using a Deep Learning Classifier
Iwase A
Ophthalmology 2016; 123: 1974-1980
69168 Adjusting Circumpapillary Retinal Nerve Fiber Layer Profile Using Retinal Artery Position Improves the Structure-Function Relationship in Glaucoma
Murata H
Investigative Ophthalmology and Visual Science 2016; 57: 3152-3158
69197 Estimating the Binocular Visual Field of Glaucoma Patients With an Adjustment for Ocular Dominance
Yanagisawa M
Investigative Ophthalmology and Visual Science 2016; 57: 3276-3281
69168 Adjusting Circumpapillary Retinal Nerve Fiber Layer Profile Using Retinal Artery Position Improves the Structure-Function Relationship in Glaucoma
Asaoka R
Investigative Ophthalmology and Visual Science 2016; 57: 3152-3158
69301 Detecting Preperimetric Glaucoma with Standard Automated Perimetry Using a Deep Learning Classifier
Araie M
Ophthalmology 2016; 123: 1974-1980
69197 Estimating the Binocular Visual Field of Glaucoma Patients With an Adjustment for Ocular Dominance
Hirasawa H; Murata H; Sawamura H; Mayama C; Asaoka R
Investigative Ophthalmology and Visual Science 2016; 57: 3276-3281
