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Ito Y 7

Showing records 1 to 7 | Display all abstracts from Ito Y

126905 Assessment of factors affecting anterior chamber depth from data obtained from health checkup participants in Japan
Inooka T
Scientific reports 2024; 14: 30342

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126422 Automated learning of glaucomatous visual fields from OCT images using a comprehensive, segmentation-free 3D convolutional neural network model
Koyama M; Ueno Y
Scientific reports 2025; 15: 13395

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126905 Assessment of factors affecting anterior chamber depth from data obtained from health checkup participants in Japan
Kominami T
Scientific reports 2024; 14: 30342

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126422 Automated learning of glaucomatous visual fields from OCT images using a comprehensive, segmentation-free 3D convolutional neural network model
Ito Y
Scientific reports 2025; 15: 13395

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126905 Assessment of factors affecting anterior chamber depth from data obtained from health checkup participants in Japan
Tomita R; Suzumura A
Scientific reports 2024; 14: 30342

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126422 Automated learning of glaucomatous visual fields from OCT images using a comprehensive, segmentation-free 3D convolutional neural network model
Oshika T; Tanito M
Scientific reports 2025; 15: 13395

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126905 Assessment of factors affecting anterior chamber depth from data obtained from health checkup participants in Japan
Matsuno T; Ota J; Koyanagi Y; Takeyama H; Ueno S; Ito Y; Nishiguchi KM; Yuki K
Scientific reports 2024; 14: 30342

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