Naoto Shibata

Development of a deep residual learning algorithm to screen for glaucoma from fundus photography

Naoto Shibata, Masaki Tanito, Keita Mitsuhashi et al. · Scientific Reports · 2018 · 255 citations · Full text

Computing, Computer Science, Ophthalmology +17

Rhodium-Catalyzed Oxidative 1:1, 1:2, and 1:4 Coupling Reactions of Phenylazoles with Internal Alkynes through the Regioselective Cleavages of Multiple C−H Bonds

Nobuyoshi Umeda, Koji Hirano, Tetsuya Satoh et al. · The Journal of Organic Chemistry · 2010 · 209 citations

Natural Sciences, Chemistry, Catalysis +15

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms

Mark Christopher, Ken‐ichi Nakahara, Christopher Bowd et al. · Translational Vision Science & Technology · 2020 · 69 citations · Full text

Computing, Computer Science, Ophthalmology +16

Validation of a Deep Learning Model to Screen for Glaucoma Using Images from Different Fundus Cameras and Data Augmentation

Ryo Asaoka, Masaki Tanito, Naoto Shibata et al. · Ophthalmology Glaucoma · 2019 · 65 citations · Full text

Health Professions, Computer Science, Ophthalmology +15

Deep learning-assisted (automatic) diagnosis of glaucoma using a smartphone

Ken‐ichi Nakahara, Ryo Asaoka, Masaki Tanito et al. · British Journal of Ophthalmology · 2021 · 37 citations

Computing, Computer Science, Ophthalmology +16