Kazunori Hirasawa

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

Recrudescence of equine infectious anemia by treatment with immunosuppressive drugs.

Yuji Kono, Kazunori Hirasawa, Yoshio Fukunaga et al. · PubMed · 1976 · 98 citations

Veterinary Vaccine, Immunohematology, Viral Immunity +16

Evaluating the Usefulness of MP-3 Microperimetry in Glaucoma Patients

Masato Matsuura, Hiroshi Murata, Yuri Fujino et al. · American Journal of Ophthalmology · 2017 · 55 citations

Biomedical Imaging, Glaucoma, Optometry +2

Validating the Usefulness of the “Random Forests” Classifier to Diagnose Early Glaucoma With Optical Coherence Tomography

Ryo Asaoka, Kazunori Hirasawa, Aiko Iwase et al. · American Journal of Ophthalmology · 2016 · 51 citations

Retina, Ophthalmology, Early Glaucoma +4

Changes in Corneal Biomechanics and Intraocular Pressure Following Cataract Surgery

Kazunori Hirasawa, Shunsuke Nakakura, Yoshitaka Nakao et al. · American Journal of Ophthalmology · 2018 · 50 citations

Ophthalmic Surgery, Ophthalmology, Surgery +6