Terrence Sejnowski

Using machine learning classifiers to identify glaucomatous change earlier in standard visual fields.

Robert N Weinreb, Chris A Johnson, Te-Won Lee, 2002, Investigative ophthalmology & visual science.

Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defects.

Robert N Weinreb, Christopher Bowd, Jiucang Hao, 2005, Investigative ophthalmology & visual science.

Comparing machine learning classifiers for diagnosing glaucoma from standard automated perimetry.

Robert N Weinreb, Christopher Bowd, Te-Won Lee, 2002, Investigative ophthalmology & visual science.

BRAIN Initiative: Cutting-Edge Tools and Resources for the Community

James Carson, Terrence Sejnowski, Loren M Frank, 2019, The Journal of Neuroscience.