Hiroki Masumoto

Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography

Yoshinori Mitamura, Hitoshi Tabuchi, Takahiro Sogawa, 2019, bioRxiv.

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

Yoshinori Mitamura, Hitoshi Tabuchi, Hiroki Masumoto, 2018, PeerJ.

On Discrimination of Right and Left Eyes for Ophthalmic Surgery Using Neural Networks

Naotake Kamiura, Teijiro Isokawa, Takayuki Yumoto, 2019, 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI).

Discrimination Ability of Glaucoma via DCNNs Models from Ultra-Wide Angle Fundus Images Comparing Either Full or Confined to the Optic Disc

Hitoshi Tabuchi, Hiroki Masumoto, Asuka Noguchi, 2018, ACCV Workshops.

Retinal Detachment Screening with Ensembles of Neural Network Models

Hitoshi Tabuchi, Daisuke Nagasato, Hiroki Masumoto, 2018, ACCV Workshops.

Real-Time Extraction of Important Surgical Phases in Cataract Surgery Videos

Naotake Kamiura, Tomofusa Yamauchi, Hitoshi Tabuchi, 2019, Scientific Reports.

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

Yoshinori Mitamura, Masahiro Kameoka, Hitoshi Tabuchi, 2018, Journal of ophthalmology.

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

Yoshinori Mitamura, Masahiro Kameoka, Hitoshi Tabuchi, 2019, International journal of ophthalmology.

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

Yoshinori Mitamura, Hitoshi Tabuchi, Hiroki Masumoto, 2019, International Ophthalmology.