Hitoshi Tabuchi

Accuracy of deep learning, a machine-learning technology, using ultra–wide-field fundus ophthalmoscopy for detecting rhegmatogenous retinal detachment

Hideharu Ohsugi, Hitoshi Tabuchi, Hiroki Enno et al. · Scientific Reports · 2017 · 150 citations · Full text

Computing, Computer Science, Ophthalmology +15

Morphologic Characteristics of Macular Complications of a Dome-Shaped Macula Determined by Swept-Source Optical Coherence Tomography

Hideharu Ohsugi, Yasushi Ikuno, Kanako Oshima et al. · American Journal of Ophthalmology · 2014 · 111 citations

Medicine, Ophthalmology, Vision Science +17

Accuracy of ultra-wide-field fundus ophthalmoscopy-assisted deep learning, a machine-learning technology, for detecting age-related macular degeneration

Shinji Matsuba, Hitoshi Tabuchi, Hideharu Ohsugi et al. · International Ophthalmology · 2018 · 92 citations

Medicine, Ophthalmology, Vision Science +16

Macular Choroidal Thickness and Volume in Healthy Pediatric Individuals Measured by Swept-Source Optical Coherence Tomography

Toshihiko Nagasawa, Yoshinori Mitamura, Takashi Katome et al. · Investigative Ophthalmology & Visual Science · 2013 · 87 citations

Health Professions, Ophthalmology, Pediatrics +16

The Relationship between Corvis ST Tonometry Measured Corneal Parameters and Intraocular Pressure, Corneal Thickness and Corneal Curvature

Ryo Asaoka, Shunsuke Nakakura, Hitoshi Tabuchi et al. · PLoS ONE · 2015 · 79 citations · Full text

Health Professions, Ophthalmology, Optometry +17