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Miki A 19
Showing records 1 to 19 | Display all abstracts from Miki A79135 Anterior segment Scheimpflug imaging for detecting primary angle closure disease
Winegarner A
Graefe's Archive for Clinical and Experimental Ophthalmology 2019; 257: 161-167
79224 Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images
Asaoka R
American Journal of Ophthalmology 2019; 198: 136-145
78406 Factors associated with fluctuations in repeated measurements of intraocular pressure using the Goldmann applanation tonometer in Japanese patients with primary open-angle glaucoma
Yaoeda K
Clinical Ophthalmology 2018; 12: 1473-1478
79224 Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images
Murata H
American Journal of Ophthalmology 2019; 198: 136-145
79135 Anterior segment Scheimpflug imaging for detecting primary angle closure disease
Miki A
Graefe's Archive for Clinical and Experimental Ophthalmology 2019; 257: 161-167
78406 Factors associated with fluctuations in repeated measurements of intraocular pressure using the Goldmann applanation tonometer in Japanese patients with primary open-angle glaucoma
Fukushima A; Shirakashi M
Clinical Ophthalmology 2018; 12: 1473-1478
79224 Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images
Hirasawa K
American Journal of Ophthalmology 2019; 198: 136-145
79135 Anterior segment Scheimpflug imaging for detecting primary angle closure disease
Kumoi M
Graefe's Archive for Clinical and Experimental Ophthalmology 2019; 257: 161-167
78406 Factors associated with fluctuations in repeated measurements of intraocular pressure using the Goldmann applanation tonometer in Japanese patients with primary open-angle glaucoma
Miki A
Clinical Ophthalmology 2018; 12: 1473-1478
79224 Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images
Fujino Y
American Journal of Ophthalmology 2019; 198: 136-145
79135 Anterior segment Scheimpflug imaging for detecting primary angle closure disease
Ishida Y; Wakabayashi T
Graefe's Archive for Clinical and Experimental Ophthalmology 2019; 257: 161-167
78406 Factors associated with fluctuations in repeated measurements of intraocular pressure using the Goldmann applanation tonometer in Japanese patients with primary open-angle glaucoma
Fukuchi T
Clinical Ophthalmology 2018; 12: 1473-1478
79224 Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images
Matsuura M
American Journal of Ophthalmology 2019; 198: 136-145
79135 Anterior segment Scheimpflug imaging for detecting primary angle closure disease
Sakimoto S
Graefe's Archive for Clinical and Experimental Ophthalmology 2019; 257: 161-167
79224 Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images
Miki A; Kanamoto T
American Journal of Ophthalmology 2019; 198: 136-145
79135 Anterior segment Scheimpflug imaging for detecting primary angle closure disease
Usui S; Matsushita K
Graefe's Archive for Clinical and Experimental Ophthalmology 2019; 257: 161-167
79224 Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images
Ikeda Y; Mori K
American Journal of Ophthalmology 2019; 198: 136-145
79135 Anterior segment Scheimpflug imaging for detecting primary angle closure disease
Nishida K
Graefe's Archive for Clinical and Experimental Ophthalmology 2019; 257: 161-167
79224 Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images
Iwase A; Shoji N; Inoue K; Yamagami J; Araie M
American Journal of Ophthalmology 2019; 198: 136-145
