Naofumi Ishitobi
Himeji, Japan
Last Updated: 09/26/2026
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Found 15 publications
Multimodal artificial intelligence for retinal detachment diagnosis using fundus imaging and patient questionnaires.
Journal: The British journal of ophthalmology
Published: March 26, 2025
Evaluation of deep learning-based retinal pigment epithelium segmentation for a widely used optical coherence tomography device.
Journal: Scientific reports
Published: February 27, 2025
Large-scale observational study of AI-based patient and surgical material verification system in ophthalmology: real-world evaluation in 37 529 cases.
Journal: BMJ quality & safety
Published: September 16, 2024
Deep Learning-Based System for Preoperative Safety Management in Cataract Surgery.
Journal: Journal of clinical medicine
Published: August 03, 2022
Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis.
Journal: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Published: September 13, 2021
Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography.
Journal: PloS one
Published: December 13, 2019
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
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.
Journal: International journal of ophthalmology
Published: August 18, 2018
Last Updated: 09/26/2026