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Maeda N 7

Showing records 1 to 7 | Display all abstracts from Maeda N

118904 Deep learning model for extensive smartphone-based diagnosis and triage of cataracts and multiple corneal diseases
Ueno Y
British Journal of Ophthalmology 2024; 108: 1406-1413

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118333 Subjective perception of visual field defects using random noise-moving images in patients with glaucoma: A comparison of computer graphics and analog noises
Inoue A
PLoS ONE 2024; 19: e0303849

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118904 Deep learning model for extensive smartphone-based diagnosis and triage of cataracts and multiple corneal diseases
Oda M
British Journal of Ophthalmology 2024; 108: 1406-1413

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118333 Subjective perception of visual field defects using random noise-moving images in patients with glaucoma: A comparison of computer graphics and analog noises
Koike E
PLoS ONE 2024; 19: e0303849

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118904 Deep learning model for extensive smartphone-based diagnosis and triage of cataracts and multiple corneal diseases
Yamaguchi T
British Journal of Ophthalmology 2024; 108: 1406-1413

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118333 Subjective perception of visual field defects using random noise-moving images in patients with glaucoma: A comparison of computer graphics and analog noises
Maeda N; Matsumoto C
PLoS ONE 2024; 19: e0303849

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118904 Deep learning model for extensive smartphone-based diagnosis and triage of cataracts and multiple corneal diseases
Fukuoka H; Nejima R; Kitaguchi Y; Miyake M; Akiyama M; Miyata K; Kashiwagi K; Maeda N; Shimazaki J; Noma H; Mori K; Oshika T
British Journal of Ophthalmology 2024; 108: 1406-1413

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