Naofumi Ishitobi

Statistics

Publications

Citations

667

H-Index

Active since

2017

Affiliations

Research Organization for Information Science and Technology(Current)

Tokushima University

Hiroshima University

Yazaki (United States)

Hiroshima University of Economics

Naofumi Ishitobi is an author at Research Organization for Information Science and Technology specializing in ophthalmology, computer vision, and computing.

Publications per year

2017–2022

Publications

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

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

Deep Neural Network-Based Method for Detecting Central Retinal Vein Occlusion Using Ultrawide-Field Fundus Ophthalmoscopy

Daisuke Nagasato, Hitoshi Tabuchi, Hideharu Ohsugi et al. · Journal of Ophthalmology · 2018 · 71 citations · Full text

Computing, Ophthalmology, Vision Science +16

Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography

Takahiro Sogawa, Hitoshi Tabuchi, Daisuke Nagasato et al. · PLoS ONE · 2020 · 70 citations · Full text

Medicine, Ophthalmology, Vision Science +17

Deep-learning classifier with ultrawide-field fundus ophthalmoscopy for detecting branch retinal vein occlusion

Daisuke Nagasato, Hitoshi Tabuchi, Hideharu Ohsugi et al. · International Journal of Ophthalmology · 2019 · 56 citations · Full text

Health Professions, Ophthalmology, Vision Science +16

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