Michael H. Goldbaum

Affiliations:
  • UC San Diego, Shiley Eye Institute


According to our database1, Michael H. Goldbaum authored at least 21 papers between 1994 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2021
Glaucoma Precognition Based on Confocal Scanning Laser Ophthalmoscopy Images of the Optic Disc Using Convolutional Neural Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Glaucoma Precognition: Recognizing Preclinical Visual Functional Signs of Glaucoma.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2016
Automatic Identification of Retinal Arteries and Veins in Fundus Images using Local Binary Patterns.
CoRR, 2016

Luminosity and contrast normalization in color retinal images based on standard reference image.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015
Detecting glaucomatous change in visual fields: Analysis with an optimization framework.
J. Biomed. Informatics, 2015

Vessel Delineation in Retinal Images using Leung-Malik filters and Two Levels Hierarchical Learning.
Proceedings of the AMIA 2015, 2015

2014
Learning From Data: Recognizing Glaucomatous Defect Patterns and Detecting Progression From Visual Field Measurements.
IEEE Trans. Biomed. Eng., 2014

Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points.
IEEE Trans. Biomed. Eng., 2014

Recognizing patterns of visual field loss using unsupervised machine learning.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

2005
A Bayesian network based sequential inference for diagnosis of diseases from retinal images.
Pattern Recognit. Lett., 2005

2003
Locating the Optical Nerve in a Retinal Image Using the Fuzzy Convergence of the Blood Vessels.
IEEE Trans. Medical Imaging, 2003

2002
Comparison of machine learning and traditional classifiers in glaucoma diagnosis.
IEEE Trans. Biomed. Eng., 2002

2000
Locating Blood Vessels in Retinal Images by Piece-wise Threshold Probing of a Matched Filter Response.
IEEE Trans. Medical Imaging, 2000

1999
Measurement and classification of retinal vascular tortuosity.
Int. J. Medical Informatics, 1999

Image Database Assisted Classification.
Proceedings of the Visual Information and Information Systems, 1999

1998
Fuzzy Convergence.
Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

1997
Automated measurement of retinal vascular tortuosity.
Proceedings of the AMIA 1997, 1997

1996
Content-based retrieval of ophthalmological images.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

Automated diagnosis and image understanding with object extraction, object classification, and inferencing in retinal images.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1994
Registering Retinal Images Using Automatically Selected Control Point Pairs.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994


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