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Asaoka R 4

Showing records 1 to 4 | Display all abstracts from Asaoka R

57148 Evaluation of various machine learning methods to predict vision-related quality of life from visual field data and visual acuity in patients with glaucoma
Hirasawa H; Murata H; Mayama C; Araie M; Asaoka R
British Journal of Ophthalmology 2014; 98: 1230-1235
56939 A method to measure visual field sensitivity at the edges of glaucomatous scotomata
Aoyama Y; Murata H; Tahara M; Yanagisawa M; Hirasawa K; Mayama C; Asaoka R
Investigative Ophthalmology and Visual Science 2014; 55: 2584-2591
57436 Mapping glaucoma patients' 30-2 and 10-2 visual fields reveals clusters of test points damaged in the 10-2 grid that are not sampled in the sparse 30-2 grid
Asaoka R
PLoS ONE 2014; 9: e98525
56910 Combining multiple HRT parameters using the 'Random Forests' method improves the diagnostic accuracy of glaucoma in emmetropic and highly myopic eyes
Asaoka R; Iwase A; Tsutsumi T; Saito H; Otani S; Miyata K; Murata H; Mayama C; Araie M
Investigative Ophthalmology and Visual Science 2014; 55: 2482-2490

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