Hiroki Masumoto

发表

Prediction of age and brachial-ankle pulse-wave velocity using ultra-wide-field pseudo-color images by deep learning

Y. Kawai, H. Tabuchi, Naofumi Ishitobi, 2020, Scientific Reports.

Automated detection of a nonperfusion area caused by retinal vein occlusion in optical coherence tomography angiography images using deep learning

H. Tabuchi, H. Enno, Naofumi Ishitobi, 2019, PloS one.

Accuracy of a deep convolutional neural network in detection of retinitis pigmentosa on ultrawide-field images

Hideharu Ohsugi, H. Tabuchi, H. Enno, 2019, PeerJ.

Deep-learning Classifier With an Ultrawide-field Scanning Laser Ophthalmoscope Detects Glaucoma Visual Field Severity

H. Tabuchi, H. Enno, Naofumi Ishitobi, 2018, Journal of glaucoma.

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

Hideharu Ohsugi, H. Tabuchi, H. Enno, 2019, International Ophthalmology.

Comparison between support vector machine and deep learning, machine-learning technologies for detecting epiretinal membrane using 3D-OCT

Hideharu Ohsugi, H. Tabuchi, H. Enno, 2018, International Ophthalmology.

Accuracy of ultrawide-field fundus ophthalmoscopy-assisted deep learning for detecting treatment-naïve proliferative diabetic retinopathy

Yoshinori Mitamura, Hitoshi Tabuchi, Hiroki Masumoto, 2019, International Ophthalmology.

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

Yoshinori Mitamura, Masahiro Kameoka, Hitoshi Tabuchi, 2019, International journal of ophthalmology.

Transferability of an Artificial Intelligence Algorithm Predicting Rebubblings After Descemet Membrane Endothelial Keratoplasty

H. Tabuchi, Hiroki Masumoto, M. Matthaei, 2022, Cornea.

A deep learning approach for successful big-bubble formation prediction in deep anterior lamellar keratoplasty

H. Tabuchi, Naofumi Ishitobi, Hiroki Masumoto, 2021, Scientific Reports.

Automated detection of enlarged extraocular muscle in Graves’ ophthalmopathy with computed tomography and deep neural network

H. Tabuchi, M. Hashimoto, Daisuke Nagasato, 2022, Scientific Reports.

A Deep Learning Approach in Rebubbling After Descemet's Membrane Endothelial Keratoplasty.

H. Tabuchi, Hiroki Masumoto, Shoji Morita, 2020, Eye & contact lens.

Predicting Keratoconus Progression and Need for Corneal Crosslinking Using Deep Learning

K. Tsubota, H. Tabuchi, K. Negishi, 2021, Journal of clinical medicine.

Automatic screening of tear meniscus from lacrimal duct obstructions using anterior segment optical coherence tomography images by deep learning

H. Tabuchi, Daisuke Nagasato, Hiroki Masumoto, 2021, Graefe's Archive for Clinical and Experimental Ophthalmology.

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

Yoshinori Mitamura, Hitoshi Tabuchi, Takahiro Sogawa, 2019, bioRxiv.

Use of a Machine Learning Method in Predicting Refraction after Cataract Surgery

H. Tabuchi, Hiroki Masumoto, T. Yamauchi, 2021, Journal of clinical medicine.

Real-Time Extraction of Important Surgical Phases in Cataract Surgery Videos

Naotake Kamiura, Tomofusa Yamauchi, Hitoshi Tabuchi, 2019, Scientific Reports.

Using artificial intelligence to diagnose fresh osteoporotic vertebral fractures on magnetic resonance images.

H. Terai, H. Toyoda, M. Hoshino, 2021, The spine journal : official journal of the North American Spine Society.

Choroidal thickness estimation from colour fundus photographs by adaptive binarisation and deep learning, according to central serous chorioretinopathy status

H. Tabuchi, Hiroki Masumoto, F. Gomi, 2020, Scientific Reports.

Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography

H. Tabuchi, Hiroki Masumoto, Y. Mitamura, 2021, Journal of ophthalmology.

Real-Time Surgical Problem Detection and Instrument Tracking in Cataract Surgery

N. Kamiura, H. Tabuchi, Hiroki Masumoto, 2020, Journal of clinical medicine.

Evaluation of CRISPR/Cas9 exon‐skipping vector for choroideremia using human induced pluripotent stem cell‐derived RPE

B. Conklin, Sumiko Watanabe, H. Tabuchi, 2022, The journal of gene medicine.

Deep Neural Network-Based Method for Detecting Obstructive Meibomian Gland Dysfunction With in Vivo Laser Confocal Microscopy.

T. Chikama, H. Tabuchi, Daisuke Nagasato, 2020, Cornea.

Objective evaluation of allergic conjunctival disease (with a focus on the application of artificial intelligence technology).

H. Tabuchi, Hiroki Masumoto, Hitoshi Tabuchi, 2020, Allergology international : official journal of the Japanese Society of Allergology.

Accuracy of deep learning, a machine learning technology, using ultra-wide-field fundus ophthalmoscopy for detecting idiopathic macular holes

Yoshinori Mitamura, Hitoshi Tabuchi, Hiroki Masumoto, 2018, PeerJ.

Severity Classification of Conjunctival Hyperaemia by Deep Neural Network Ensembles

Hideharu Ohsugi, H. Tabuchi, S. Nakakura, 2019, Journal of ophthalmology.

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

Yoshinori Mitamura, Masahiro Kameoka, Hitoshi Tabuchi, 2018, Journal of ophthalmology.

Instillation Checking Using Long Short-Term Memories for Ophthalmology Patients

T. Isokawa, N. Kamiura, H. Tabuchi, 2021, 2021 Ninth International Symposium on Computing and Networking Workshops (CANDARW).

Retinal Detachment Screening with Ensembles of Neural Network Models

Hitoshi Tabuchi, Daisuke Nagasato, Hiroki Masumoto, 2018, ACCV Workshops.

Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis

Naofumi Ishitobi, Y. Kiuchi, Daisuke Nagasato, 2021, Graefe's Archive for Clinical and Experimental Ophthalmology.

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

Hideharu Ohsugi, H. Enno, Naofumi Ishitobi, 2019, International Ophthalmology.

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

Hideharu Ohsugi, H. Enno, Naofumi Ishitobi, 2019, International journal of ophthalmology.