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Hiroyo Hirasawa

Showing results (1-10 of 19) with videos related to

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Investigative Ophthalmology & Visual Science|December 10, 2015
Estimating the Usefulness of Humphrey Perimetry Gaze Tracking for Evaluating Structure-Function Relationship in GlaucomaYukako Ishiyama, Hiroshi Murata, Hiroyo Hirasawa, et al.
Investigative Ophthalmology & Visual Science|July 5, 2014
Validating the sumi quality of life questionnaire with rasch analysisHiroyo Hirasawa, Hiroshi Murata, Chihiro Mayama, et al.
Investigative Ophthalmology & Visual Science|October 25, 2014
Clustering visual field test points based on rates of progression to improve the prediction of future damageKazunori Hirasawa, Hiroshi Murata, Hiroyo Hirasawa, et al.
Retina (Philadelphia, Pa.)|April 27, 2007
Indocyanine green and trypan blue: intracellular uptake and extracellular binding by human retinal pigment epithelial cellsHiroyo Hirasawa, Yasuo Yanagi, Yasuhiro Tamaki, et al.
The British Journal of Ophthalmology|May 6, 2014
Evaluation of various machine learning methods to predict vision-related quality of life from visual field data and visual acuity in patients with glaucomaHiroyo Hirasawa, Hiroshi Murata, Chihiro Mayama, et al.
Plos One|November 9, 2013
Detection of progression of glaucomatous visual field damage using the point-wise method with the binomial testAyako Karakawa, Hiroshi Murata, Hiroyo Hirasawa, et al.
BMJ Open|October 10, 2013
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?Koichiro Sugimoto, Hiroshi Murata, Hiroyo Hirasawa, et al.
Scientific Reports|February 21, 2014
Impact of better and worse eye damage on quality of life in advanced glaucomaMizu Okamoto, Kenji Sugisaki, Hiroshi Murata, et al.
Plos One|August 29, 2014
Discriminating between glaucoma and normal eyes using optical coherence tomography and the 'Random Forests' classifierTatsuya Yoshida, Aiko Iwase, Hiroyo Hirasawa, et al.
Journal of Glaucoma|February 2, 2017
Developing an Item Bank to Measure Quality of Life in Individuals With Glaucoma, and the Results of the Interview With Patients: The Effect of Visual Function, Visual Field Progression Rate, Medical, and Surgical Treatments on Quality of LifeMasato Matsuura, Kazunori Hirasawa, Hiroyo Hirasawa, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Investigative Ophthalmology & Visual Science|December 10, 2015
Estimating the Usefulness of Humphrey Perimetry Gaze Tracking for Evaluating Structure-Function Relationship in GlaucomaYukako Ishiyama, Hiroshi Murata, Hiroyo Hirasawa, et al.
Investigative Ophthalmology & Visual Science|July 5, 2014
Validating the sumi quality of life questionnaire with rasch analysisHiroyo Hirasawa, Hiroshi Murata, Chihiro Mayama, et al.
Investigative Ophthalmology & Visual Science|October 25, 2014
Clustering visual field test points based on rates of progression to improve the prediction of future damageKazunori Hirasawa, Hiroshi Murata, Hiroyo Hirasawa, et al.
Retina (Philadelphia, Pa.)|April 27, 2007
Indocyanine green and trypan blue: intracellular uptake and extracellular binding by human retinal pigment epithelial cellsHiroyo Hirasawa, Yasuo Yanagi, Yasuhiro Tamaki, et al.
The British Journal of Ophthalmology|May 6, 2014
Evaluation of various machine learning methods to predict vision-related quality of life from visual field data and visual acuity in patients with glaucomaHiroyo Hirasawa, Hiroshi Murata, Chihiro Mayama, et al.
Plos One|November 9, 2013
Detection of progression of glaucomatous visual field damage using the point-wise method with the binomial testAyako Karakawa, Hiroshi Murata, Hiroyo Hirasawa, et al.
BMJ Open|October 10, 2013
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?Koichiro Sugimoto, Hiroshi Murata, Hiroyo Hirasawa, et al.
Scientific Reports|February 21, 2014
Impact of better and worse eye damage on quality of life in advanced glaucomaMizu Okamoto, Kenji Sugisaki, Hiroshi Murata, et al.
Plos One|August 29, 2014
Discriminating between glaucoma and normal eyes using optical coherence tomography and the 'Random Forests' classifierTatsuya Yoshida, Aiko Iwase, Hiroyo Hirasawa, et al.
Journal of Glaucoma|February 2, 2017
Developing an Item Bank to Measure Quality of Life in Individuals With Glaucoma, and the Results of the Interview With Patients: The Effect of Visual Function, Visual Field Progression Rate, Medical, and Surgical Treatments on Quality of LifeMasato Matsuura, Kazunori Hirasawa, Hiroyo Hirasawa, et al.
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