Ryo Asaoka

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 · 263 citations

Health Professions, Computer Science, Ophthalmology +14

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 · 255 citations · Full text

Computing, Computer Science, Ophthalmology +17

Detecting Preperimetric Glaucoma with Standard Automated Perimetry Using a Deep Learning Classifier

Ryo Asaoka, Hiroshi Murata, Aiko Iwase et al. · Ophthalmology · 2016 · 249 citations

Computing, Computer Science, Ophthalmology +11

Identifying Areas of the Visual Field Important for Quality of Life in Patients with Glaucoma

Hiroshi Murata, Hiroyo Hirasawa, Yuka Aoyama et al. · PLoS ONE · 2013 · 113 citations · Full text

Medicine, Ophthalmology, Vision Science +17

Variants in Optineurin Gene and Their Association with Tumor Necrosis Factor-α Polymorphisms in Japanese Patients with Glaucoma

Tomoyo Funayama, K. Ishikawa, Yuichiro Ohtake et al. · Investigative Ophthalmology & Visual Science · 2004 · 107 citations

Life Sciences, Genetics, Ophthalmology +14