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Catherine Boden

Showing results (41-50 of 49) with videos related to

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Investigative Ophthalmology & Visual Science|July 31, 2002
Using machine learning classifiers to identify glaucomatous change earlier in standard visual fieldsPamela A Sample, Michael H Goldbaum, Kwokleung Chan, et al.
The Cochrane Database of Systematic Reviews|September 3, 2019
Flexibility exercise training for adults with fibromyalgiaSoo Y Kim, Angela J Busch, Tom J Overend, et al.
The Cochrane Database of Systematic Reviews|May 25, 2019
Mixed exercise training for adults with fibromyalgiaJulia Bidonde, Angela J Busch, Candice L Schachter, et al.
Investigative Ophthalmology & Visual Science|July 28, 2004
Using unsupervised learning with variational bayesian mixture of factor analysis to identify patterns of glaucomatous visual field defectsPamela A Sample, Kwokleung Chan, Catherine Boden, et al.
Critical Care Explorations|June 28, 2026
Patient- and Family-Centered Care, Communication, and Relationship Development Along a Technological Continuum in the ICU: A Scoping ReviewBrittany Benson, Mahour Taheri, Salima Suleman, et al.
Archives of Ophthalmology (Chicago, Ill. : 1960)|May 12, 2010
African Descent and Glaucoma Evaluation Study (ADAGES): III. Ancestry differences in visual function in healthy eyesLyne Racette, Jeffrey M Liebmann, Christopher A Girkin, et al.
Archives of Ophthalmology (Chicago, Ill. : 1960)|November 16, 2005
Differences in visual function and optic nerve structure between healthy eyes of blacks and whitesLyne Racette, Catherine Boden, Shannon L Kleinhandler, et al.
Investigative Ophthalmology & Visual Science|September 28, 2005
Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defectsMichael H Goldbaum, Pamela A Sample, Zuohua Zhang, et al.
Investigative Ophthalmology & Visual Science|September 28, 2005
Unsupervised machine learning with independent component analysis to identify areas of progression in glaucomatous visual fieldsPamela A Sample, Catherine Boden, Zuohua Zhang, et al.
Pageof 5

Showing results (41-50 of 49) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 49 results.
Investigative Ophthalmology & Visual Science|July 31, 2002
Using machine learning classifiers to identify glaucomatous change earlier in standard visual fieldsPamela A Sample, Michael H Goldbaum, Kwokleung Chan, et al.
The Cochrane Database of Systematic Reviews|September 3, 2019
Flexibility exercise training for adults with fibromyalgiaSoo Y Kim, Angela J Busch, Tom J Overend, et al.
The Cochrane Database of Systematic Reviews|May 25, 2019
Mixed exercise training for adults with fibromyalgiaJulia Bidonde, Angela J Busch, Candice L Schachter, et al.
Investigative Ophthalmology & Visual Science|July 28, 2004
Using unsupervised learning with variational bayesian mixture of factor analysis to identify patterns of glaucomatous visual field defectsPamela A Sample, Kwokleung Chan, Catherine Boden, et al.
Critical Care Explorations|June 28, 2026
Patient- and Family-Centered Care, Communication, and Relationship Development Along a Technological Continuum in the ICU: A Scoping ReviewBrittany Benson, Mahour Taheri, Salima Suleman, et al.
Archives of Ophthalmology (Chicago, Ill. : 1960)|May 12, 2010
African Descent and Glaucoma Evaluation Study (ADAGES): III. Ancestry differences in visual function in healthy eyesLyne Racette, Jeffrey M Liebmann, Christopher A Girkin, et al.
Archives of Ophthalmology (Chicago, Ill. : 1960)|November 16, 2005
Differences in visual function and optic nerve structure between healthy eyes of blacks and whitesLyne Racette, Catherine Boden, Shannon L Kleinhandler, et al.
Investigative Ophthalmology & Visual Science|September 28, 2005
Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defectsMichael H Goldbaum, Pamela A Sample, Zuohua Zhang, et al.
Investigative Ophthalmology & Visual Science|September 28, 2005
Unsupervised machine learning with independent component analysis to identify areas of progression in glaucomatous visual fieldsPamela A Sample, Catherine Boden, Zuohua Zhang, et al.
Pageof 5