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Vox Sanguinis|April 22, 2026
Effects of pre-donation salt-loading on the occurrence of delayed vasovagal reactionsNoriko Namba, Gaku Kondo, Fumihiko Ishimaru, et al.
Springerplus|August 21, 2013
An approach to predict the risk of glaucoma development by integrating different attribute dataYuichi Tokuda, Tomohito Yagi, Kengo Yoshii, et al.
Investigative Ophthalmology & Visual Science|September 11, 2020
Relationship Between Macular Ganglion Cell Thickness and Ocular Elongation as Measured by Axial Length and Retinal Artery PositionTakashi Omoto, Hiroshi Murata, Yuri Fujino, et al.
American Journal of Ophthalmology|October 14, 2021
Seasonal Variation and Trend of Intraocular Pressure Decrease Over a 20-Year Period in Normal-Tension Glaucoma PatientsYoko Ikeda, Kazuhiko Mori, Morio Ueno, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 24, 2009
Three susceptible loci associated with primary open-angle glaucoma identified by genome-wide association study in a Japanese populationMasakazu Nakano, Yoko Ikeda, Takazumi Taniguchi, et al.
Translational Vision Science & Technology|November 23, 2021
Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual FieldYohei Hashimoto, Taichi Kiwaki, Hiroki Sugiura, et al.
The British Journal of Ophthalmology|June 29, 2020
Deep learning model to predict visual field in central 10° from optical coherence tomography measurement in glaucomaYohei Hashimoto, Ryo Asaoka, Taichi Kiwaki, et al.
American Journal of Ophthalmology|May 11, 2020
Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor RegressionLinchuan Xu, Ryo Asaoka, Taichi Kiwaki, et al.
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