Yuri Fujino

Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images

Ryo Asaoka, Hiroshi Murata, Kazunori Hirasawa et al. · American Journal of Ophthalmology · 2018 · 251 citations

Convolutional Neural Network, Ocular Disease, Image Analysis +12

Development of a deep residual learning algorithm to screen for glaucoma from fundus photography

Naoto Shibata, Masaki Tanito, Keita Mitsuhashi et al. · Scientific Reports · 2018 · 240 citations · Full text

Evaluation of Glaucoma Progression in Large-Scale Clinical Data: The Japanese Archive of Multicentral Databases in Glaucoma (JAMDIG)

Yuri Fujino, Ryo Asaoka, Hiroshi Murata et al. · Investigative Ophthalmology & Visual Science · 2016 · 70 citations · Full text

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms

Mark Christopher, Ken‐ichi Nakahara, Christopher Bowd et al. · Translational Vision Science & Technology · 2020 · 67 citations · Full text

Validation of a Deep Learning Model to Screen for Glaucoma Using Images from Different Fundus Cameras and Data Augmentation

Ryo Asaoka, Masaki Tanito, Naoto Shibata et al. · Ophthalmology Glaucoma · 2019 · 61 citations · Full text

Data Augmentation, Image Analysis, Machine Vision +13