Chihiro Mayama

发表

Combining Optical Coherence Topography measurements using the ‘Random Forest’ decision tree classifier improves the diagnosis of glaucoma

Koichiro Sugimoto, Makoto Aihara, Ryo Asaoka, 2013 .

A method to identify the edge of visual field scotoma; the estimation of prediction error of the visual field sensitivity is large at the steep ‘edge’ of scotoma

Hiroshi Murata, Ryo Asaoka, Chihiro Mayama, 2013 .

A novel method to predicting quality of visual life and identifying essential visual field locations

Hiroshi Murata, Makoto Aihara, Ryo Asaoka, 2013 .

A novel system to detect the progression of glaucomatous visual field damage: aggregating the results of point-wise analysis with the binomial test

Hiroshi Murata, Makoto Aihara, Ryo Asaoka, 2013 .

Identification of Schlemm's canal and its surrounding tissues by anterior segment fourier domain optical coherence tomography.

Atsuo Tomidokoro, Makoto Araie, Chihiro Mayama, 2011, Investigative ophthalmology & visual science.

How Many Visual Fields Are Required to Precisely Predict Future Test Results in Glaucoma Patients When Using Different Trend Analyses?

Ryo Asaoka, Chihiro Mayama, Yuri Fujino, 2015, Investigative ophthalmology & visual science.

Glaucoma-Induced Optic Disc Morphometric Changes and Glaucoma Diagnostic Ability of Heidelberg Retina Tomograph II in Highly Myopic Eyes

Kazunori Miyata, Ryo Asaoka, Atsuo Tomidokoro, 2014, PloS one.

Discriminating between Glaucoma and Normal Eyes Using Optical Coherence Tomography and the ‘Random Forests’ Classifier

Ryo Asaoka, Makoto Araie, Hiroyo Hirasawa, 2014, PloS one.

Statistical evaluation of the diagnostic accuracy of methods used to determine the progression of visual field defects in glaucoma.

Yasuo Ohashi, Hidetoshi Tsukamoto, Motohiro Shirakashi, 2004, Ophthalmology.

Cross-sectional study: Does combining optical coherence tomography measurements using the ‘Random Forest’ decision tree classifier improve the prediction of the presence of perimetric deterioration in glaucoma suspects?

Makoto Aihara, Koichiro Sugimoto, Ryo Asaoka, 2013, BMJ Open.

Evaluation of various machine learning methods to predict vision-related quality of life from visual field data and visual acuity in patients with glaucoma

Ryo Asaoka, Makoto Araie, Hiroyo Hirasawa, 2014, British Journal of Ophthalmology.

Iridotrabecular contact observed using anterior segment three-dimensional OCT in eyes with a shallow peripheral anterior chamber.

Atsuo Tomidokoro, Makoto Araie, Chihiro Mayama, 2013, Investigative ophthalmology & visual science.

Spectral-domain optical coherence tomography of β-zone peripapillary atrophy: influence of myopia and glaucoma.

Makoto Aihara, Atsuo Tomidokoro, Makoto Araie, 2012, Investigative ophthalmology & visual science.

Applying "Lasso" Regression to Predict Future Visual Field Progression in Glaucoma Patients.

Ryo Asaoka, Chihiro Mayama, Yuri Fujino, 2015, Investigative ophthalmology & visual science.

Clustering visual field test points based on rates of progression to improve the prediction of future damage.

Ryo Asaoka, Hiroyo Hirasawa, Chihiro Mayama, 2014, Investigative ophthalmology & visual science.

Detection of Progression of Glaucomatous Visual Field Damage Using the Point-Wise Method with the Binomial Test

Ryo Asaoka, Hiroyo Hirasawa, Chihiro Mayama, 2013, PloS one.