Hiroki Enno

Tokyo, Japan

Last Updated: 09/26/2026

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Found 11 publications

Machine learning for image-based detection of patients with obstructive sleep apnea: an exploratory study.

Machine learning for image-based detection of patients with obstructive sleep apnea: an exploratory study.

Journal: Sleep & breathing = Schlaf & Atmung
Published: October 04, 2020

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

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

Journal: PloS one
Published: April 22, 2019

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

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

Journal: PeerJ
Published: December 05, 2018

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

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

Journal: Journal of ophthalmology
Published: September 05, 2018

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

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

Journal: International journal of ophthalmology
Published: August 18, 2018

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

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

Journal: International ophthalmology
Published: June 28, 2018

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

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

Journal: Journal of glaucoma
Published: May 22, 2018

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

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

Journal: International ophthalmology
Published: April 06, 2018

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

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

Journal: PeerJ
Published: March 26, 2018

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

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

Journal: International ophthalmology
Published: January 29, 2018

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

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

Journal: Scientific reports
Published: April 10, 2017
Showing 1-11 of 11

Last Updated: 09/26/2026