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Author

Hiroki Masumoto

Institution: Tsukazaki Hospital
ORCID: 0000-0002-6030-7261
Observed ORCIDs: 0000-0002-6030-7261, 0000-0002-5413-8844
OpenAlex ID: A5103227951
Accuracy of ultra-wide-field fundus ophthalmoscopy-assisted deep learning, a machine-learning technology, for detecting age-related macular degeneration
2018 · Shinji Matsuba, Hitoshi Tabuchi, et al. · International Ophthalmology · 91
Using artificial intelligence to diagnose fresh osteoporotic vertebral fractures on magnetic resonance images
2021 · Akito Yabu, Masatoshi Hoshino, et al. · The Spine Journal · 79
Deep Neural Network-Based Method for Detecting Central Retinal Vein Occlusion Using Ultrawide-Field Fundus Ophthalmoscopy
2018 · Daisuke Nagasato, Hitoshi Tabuchi, et al. · Journal of Ophthalmology · 73
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Accuracy of ultrawide-field fundus ophthalmoscopy-assisted deep learning for detecting treatment-naïve proliferative diabetic retinopathy
2019 · Toshihiko Nagasawa, Hitoshi Tabuchi, et al. · International Ophthalmology · 69
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Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography
2020 · Takahiro Sogawa, Hitoshi Tabuchi, et al. · PLoS ONE · 65
Accuracy of a deep convolutional neural network in detection of retinitis pigmentosa on ultrawide-field images
2019 · Hiroki Masumoto, Hitoshi Tabuchi, et al. · PeerJ · 60
Automated detection of a nonperfusion area caused by retinal vein occlusion in optical coherence tomography angiography images using deep learning
2019 · Daisuke Nagasato, Hitoshi Tabuchi, et al. · PLoS ONE · 58
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Deep-learning classifier with ultrawide-field fundus ophthalmoscopy for detecting branch retinal vein occlusion
2019 · Daisuke Nagasato, Hitoshi Tabuchi, et al. · International Journal of Ophthalmology · 57
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Real-Time Extraction of Important Surgical Phases in Cataract Surgery Videos
2019 · Shoji Morita, Hitoshi Tabuchi, et al. · Scientific Reports · 55
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Deep-learning Classifier With an Ultrawide-field Scanning Laser Ophthalmoscope Detects Glaucoma Visual Field Severity
2018 · Hiroki Masumoto, Hitoshi Tabuchi, et al. · Journal of Glaucoma · 53
Comparison between support vector machine and deep learning, machine-learning technologies for detecting epiretinal membrane using 3D-OCT
2018 · Tomoaki Sonobe, Hitoshi Tabuchi, et al. · International Ophthalmology · 52
Predicting Keratoconus Progression and Need for Corneal Crosslinking Using Deep Learning
2021 · Naoko Kato, Hiroki Masumoto, et al. · Journal of Clinical Medicine · 47
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Deep Neural Network-Based Method for Detecting Obstructive Meibomian Gland Dysfunction With in Vivo Laser Confocal Microscopy
2020 · Sachiko Maruoka, Hitoshi Tabuchi, et al. · Cornea · 47
Accuracy of deep learning, a machine learning technology, using ultra-wide-field fundus ophthalmoscopy for detecting idiopathic macular holes
2018 · Toshihiko Nagasawa, Hitoshi Tabuchi, et al. · PeerJ · 43
A Deep Learning Approach in Rebubbling After Descemet's Membrane Endothelial Keratoplasty
2019 · Takahiko Hayashi, Hitoshi Tabuchi, et al. · Eye & Contact Lens Science & Clinical Practice · 41
Automated detection of enlarged extraocular muscle in Graves’ ophthalmopathy with computed tomography and deep neural network
2022 · Kaori Hanai, Hitoshi Tabuchi, et al. · Scientific Reports · 32
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Severity Classification of Conjunctival Hyperaemia by Deep Neural Network Ensembles
2019 · Hiroki Masumoto, Hitoshi Tabuchi, et al. · Journal of Ophthalmology · 27
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Use of a Machine Learning Method in Predicting Refraction after Cataract Surgery
2021 · Tomofusa Yamauchi, Hitoshi Tabuchi, et al. · Journal of Clinical Medicine · 26
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Real-Time Surgical Problem Detection and Instrument Tracking in Cataract Surgery
2020 · Shoji Morita, Hitoshi Tabuchi, et al. · Journal of Clinical Medicine · 23
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Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis
2021 · Hitoshi Tabuchi, Daisuke Nagasato, et al. · Graefe s Archive for Clinical and Experimental Ophthalmology · 22
Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra‐Wide‐Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography
2021 · Toshihiko Nagasawa, Hitoshi Tabuchi, et al. · Journal of Ophthalmology · 20
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Prediction of age and brachial-ankle pulse-wave velocity using ultra-wide-field pseudo-color images by deep learning
2020 · Daisuke Nagasato, Hitoshi Tabuchi, et al. · Scientific Reports · 20
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Objective evaluation of allergic conjunctival disease (with a focus on the application of artificial intelligence technology)
2020 · Hitoshi Tabuchi, Hiroki Masumoto · Allergology International · 19
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Choroidal thickness estimation from colour fundus photographs by adaptive binarisation and deep learning, according to central serous chorioretinopathy status
2020 · Yuki Komuku, Atsuya Ide, et al. · Scientific Reports · 19
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Transferability of an Artificial Intelligence Algorithm Predicting Rebubblings After Descemet Membrane Endothelial Keratoplasty
2022 · Takahiko Hayashi, Rosa M. Iliasian, et al. · Cornea · 16
Works count: 38
Citation count: 1,162
H-index: 20
I10-index: 27
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