Michael H. Goldbaum - researchr alias

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Viewing Publication 1 - 20 from 20

2021

Glaucoma Precognition Based on Confocal Scanning Laser Ophthalmoscopy Images of the Optic Disc Using Convolutional Neural NetworkKrati Gupta, Michael H. Goldbaum, Siamak Yousefi. cvpr 2021: 2259-2267 [doi]

2020

Glaucoma Precognition: Recognizing Preclinical Visual Functional Signs of GlaucomaKrati Gupta, Anshul Thakur, Michael H. Goldbaum, Siamak Yousefi. cvpr 2020: 4393-4401 [doi]

2016

Luminosity and contrast normalization in color retinal images based on standard reference imageEhsan Shahrian Varnousfaderani, Siamak Yousefi, Akram Belghith, Michael H. Goldbaum. miip 2016: [doi]

2015

2014

Recognizing patterns of visual field loss using unsupervised machine learningSiamak Yousefi, Michael H. Goldbaum, Linda M. Zangwill, Felipe A. Medeiros, Christopher Bowd. miip 2014: [doi]

Learning From Data: Recognizing Glaucomatous Defect Patterns and Detecting Progression From Visual Field MeasurementsSiamak Yousefi, Michael H. Goldbaum, Madhusudhanan Balasubramanian, Felipe A. Medeiros, Linda M. Zangwill, Jeffrey M. Liebmann, Christopher A. Girkin, Robert N. Weinreb, Christopher Bowd. tbe, 61(7):2112-2124, 2014. [doi]

Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field PointsSiamak Yousefi, Michael H. Goldbaum, Madhusudhanan Balasubramanian, Tzyy-Ping Jung, Robert N. Weinreb, Felipe A. Medeiros, Linda M. Zangwill, Jeffrey M. Liebmann, Christopher A. Girkin, Christopher Bowd. tbe, 61(4):1143-1154, 2014. [doi]

2005

A Bayesian network based sequential inference for diagnosis of diseases from retinal imagesSuman K. Mitra, Te-Won Lee, Michael H. Goldbaum. prl, 26(4):459-470, 2005. [doi]

2003

Locating the Optical Nerve in a Retinal Image Using the Fuzzy Convergence of the Blood VesselsAdam Hoover, Michael H. Goldbaum. tmi, 22(8):951-958, 2003.

2002

Comparison of machine learning and traditional classifiers in glaucoma diagnosisKwokleung Chan, Te-Won Lee, Pamela A. Sample, Michael H. Goldbaum, Robert N. Weinreb, Terrence J. Sejnowski. tbe, 49(9):963-974, 2002. [doi]

2000

Locating Blood Vessels in Retinal Images by Piece-wise Threshold Probing of a Matched Filter ResponseAdam Hoover, Valentina Kouznetsova, Michael H. Goldbaum. tmi, 19(3):203-210, 2000.

1999

Measurement and classification of retinal vascular tortuosityWilliam E. Hart, Michael H. Goldbaum, Brad Côté, Paul Kube, Mark R. Nelson. ijmi, 53(2-3):239-252, 1999. [doi]

Image Database Assisted ClassificationSimone Santini, Marcel Worring, Edd Hunter, Valentina Kouznetsova, Michael H. Goldbaum, Adam Hoover. visualization 1999: 727-734 [doi]

1998

Fuzzy ConvergenceAdam Hoover, Michael H. Goldbaum. cvpr 1998: 716-721 [doi]

Locating blood vessels in retinal images by piece-wise threshold probing of a matched filter responseAdam Hoover, Valentina Kouznetsova, Michael H. Goldbaum. amia 1998: [doi]

1997

Automated measurement of retinal vascular tortuosityWilliam E. Hart, Michael H. Goldbaum, Brad Côté, Paul Kube, Mark R. Nelson. amia 1997: [doi]

1996

1994

Registering Retinal Images Using Automatically Selected Control Point PairsWilliam E. Hart, Michael H. Goldbaum. icip 1994: 576-580

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