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    Michael Goldbaum

    TitleProfessor In Residence
    SchoolUniversity of California, San Diego
    DepartmentOphthalmology
    Address9500 Gilman Drive #0946
    CA La Jolla 92093
    Phone858-534-3516
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      Collapse Research 
      Collapse Research Activities and Funding
      Medical Advice from Glaucoma Informatics (MAGI)
      NIH/NEI R33EY013928Sep 30, 2002 - Jun 30, 2007
      Role: Principal Investigator
      Medical Advice from Glaucoma Informatics (MAGI)
      NIH/NEI R21EY013928Sep 30, 2002 - Sep 29, 2003
      Role: Principal Investigator
      STRUCTURED ANALYSIS OF THE RETINA (STARE)
      NIH/NEI R01EY013235Jul 1, 1994 - Mar 31, 2004
      Role: Principal Investigator
      STRUCTURED ANALYSIS OF THE RETINA
      NIH/NLM R01LM005759Jul 1, 1994 - Nov 30, 2000
      Role: Principal Investigator
      STRUCTURED ANALYSIS OF THE RETINA
      NIH/NEI R01EY005996Jul 1, 1986 - Mar 31, 1994
      Role: Principal Investigator

      Collapse Bibliographic 
      Collapse Publications
      Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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      1. Hodgson N, Kinori M, Goldbaum M, Robbins SL. Ophthalmic manifestations of tuberous sclerosis: a review. Clin Exp Ophthalmol. 2017 Jan; 45(1):81-86. PMID: 27447981.
        View in: PubMed
      2. Yousefi S, Balasubramanian M, Goldbaum M, Medeiros FA, Zangwill LM, Weinreb RN, Liebmann JM, Girkin CA, Bowd C. Unsupervised Gaussian Mixture-Model With Expectation Maximization for Detecting Glaucomatous Progression in Standard Automated Perimetry Visual Fields. Transl Vis Sci Technol. 2016 May; 5(3):2. PMID: 27152250.
        View in: PubMed
      3. Varnousfaderani ES, Yousefi S, Bowd C, Belghith A, Goldbaum M. Vessel Delineation in Retinal Images using Leung-Malik filters and Two Levels Hierarchical Learning. AMIA Annu Symp Proc. 2015; 2015:1140-7. PMID: 26958253.
        View in: PubMed
      4. Yousefi S, Goldbaum M, Balasubramanian M, Jung TP, Weinreb RN, Medeiros FA, Zangwill LM, Liebmann JM, Girkin CA, Bowd C. Glaucoma progression detection using structural retinal nerve fiber layer measurements and functional visual field points. IEEE Trans Biomed Eng. 2014 Apr; 61(4):1143-54. PMID: 24658239.
        View in: PubMed
      5. Yousefi S, Goldbaum M, Balasubramanian M, Medeiros FA, Zangwill LM, Liebmann JM, Girkin CA, Weinreb RN, Bowd C. Learning from data: recognizing glaucomatous defect patterns and detecting progression from visual field measurements. IEEE Trans Biomed Eng. 2014 Jul; 61(7):2112-24. PMID: 24710816.
        View in: PubMed
      6. Yousefi S, Goldbaum M, Zangwill LM, Medeiros FA, Bowd C. Recognizing patterns of visual field loss using unsupervised machine learning. Proc SPIE Int Soc Opt Eng. 2014 Mar 21; 2014. PMID: 25593676.
        View in: PubMed
      7. Bowd C, Weinreb RN, Balasubramanian M, Lee I, Jang G, Yousefi S, Zangwill LM, Medeiros FA, Girkin CA, Liebmann JM, Goldbaum M. Glaucomatous Patterns in Frequency Doubling Technology (FDT) Perimetry Data Identified by Unsupervised Machine Learning Classifiers. PLoS One. 2014 Jan 3; 9(1):e85941. PMID: 24497932.
        View in: PubMed
      8. Khatibi A, Amini P, Goldbaum M. PARASITE IN A YOUNG GIRL FROM VIETNAM PRESENTING AS A GOLDEN FOVEAL LESION: Submacular Fly Larva or Nematode? Retin Cases Brief Rep. 2013; 7(1):32-4. PMID: 25390517.
        View in: PubMed
      9. Goldbaum M, Lee I, Jang G, Balasubramanian M, Sample PA, Weinreb RN, Liebmann JM, Girkin CA, Anderson DR, Zangwill LM, Fredette MJ, Jung TP, Medeiros FA, Bowd C. Progression of patterns (POP): a machine classifier algorithm to identify glaucoma progression in visual fields. Invest Ophthalmol Vis Sci. 2012 Oct; 53(10):6557-67. PMID: 22786913.
        View in: PubMed
      10. Bowd C, Lee I, Goldbaum M, Balasubramanian M, Medeiros FA, Zangwill LM, Girkin CA, Liebmann JM, Weinreb RN. Predicting glaucomatous progression in glaucoma suspect eyes using relevance vector machine classifiers for combined structural and functional measurements. Invest Ophthalmol Vis Sci. 2012 Apr; 53(4):2382-9. PMID: 22427577.
        View in: PubMed
      11. Chen Y, Zeng J, Zhao C, Wang K, Trood E, Buehler J, Weed M, Kasuga D, Bernstein PS, Hughes G, Fu V, Chin J, Lee C, Crocker M, Bedell M, Salasar F, Yang Z, Goldbaum M, Ferreyra H, Freeman WR, Kozak I, Zhang K. Assessing susceptibility to age-related macular degeneration with genetic markers and environmental factors. Arch Ophthalmol. 2011 Mar; 129(3):344-51. PMID: 21402993.
        View in: PubMed
      12. Goldbaum M, Kozak I, Hao J, Sample PA, Lee T, Grant I, Freeman WR. Pattern recognition can detect subtle field defects in eyes of HIV individuals without retinitis under HAART. Graefes Arch Clin Exp Ophthalmol. 2011 Apr; 249(4):491-8. PMID: 20865422.
        View in: PubMed
      13. Oster SF, Mojana F, Bartsch DU, Goldbaum M, Freeman WR. Dynamics of the macular hole-silicone oil tamponade interface with patient positioning as imaged by spectral domain-optical coherence tomography. Retina. 2010 Jun; 30(6):924-9. PMID: 20531144.
        View in: PubMed
      14. Racette L, Chiou CY, Hao J, Bowd C, Goldbaum M, Zangwill LM, Lee TW, Weinreb RN, Sample PA. Combining functional and structural tests improves the diagnostic accuracy of relevance vector machine classifiers. J Glaucoma. 2010 Mar; 19(3):167-75. PMID: 19528827.
        View in: PubMed
      15. Goldbaum M, Jang GJ, Bowd C, Hao J, Zangwill LM, Liebmann J, Girkin C, Jung TP, Weinreb RN, Sample PA. Patterns of glaucomatous visual field loss in sita fields automatically identified using independent component analysis. Trans Am Ophthalmol Soc. 2009 Dec; 107:136-44. PMID: 20126490.
        View in: PubMed
      16. Bowd C, Goldbaum M. Machine learning classifiers in glaucoma. Optom Vis Sci. 2008 Jun; 85(6):396-405. PMID: 18521021.
        View in: PubMed
      17. Ferreyra HA, Goldbaum M, Weinreb RN. Endoresection of irradiated choroidal melanoma as a treatment for intractable vitreous hemorrhage and secondary blood-induced glaucoma. Semin Ophthalmol. 2008 Mar-Apr; 23(2):135-8. PMID: 18320480.
        View in: PubMed
      18. Bowd C, Hao J, Tavares IM, Medeiros FA, Zangwill LM, Lee TW, Sample PA, Weinreb RN, Goldbaum M. Bayesian machine learning classifiers for combining structural and functional measurements to classify healthy and glaucomatous eyes. Invest Ophthalmol Vis Sci. 2008 Mar; 49(3):945-53. PMID: 18326717.
        View in: PubMed
      19. Goldbaum M, Falkenstein I, Kozak I, Hao J, Bartsch DU, Sejnowski T, Freeman WR. Analysis with support vector machine shows HIV-positive subjects without infectious retinitis have mfERG deficiencies compared to normal eyes. Trans Am Ophthalmol Soc. 2008; 106:196-204; discussion 204-5. PMID: 19277235.
        View in: PubMed
      20. Boden C, Chan K, Sample PA, Hao J, Lee TW, Zangwill LM, Weinreb RN, Goldbaum M. Assessing visual field clustering schemes using machine learning classifiers in standard perimetry. Invest Ophthalmol Vis Sci. 2007 Dec; 48(12):5582-90. PMID: 18055807.
        View in: PubMed
      21. Kozak I, Sample PA, Hao J, Freeman WR, Weinreb RN, Lee TW, Goldbaum M. Machine learning classifiers detect subtle field defects in eyes of HIV individuals. Trans Am Ophthalmol Soc. 2007; 105:111-8; discussion 119-20. PMID: 18427600.
        View in: PubMed
      22. Goldbaum M, Sample PA, Zhang Z, Chan K, Hao J, Lee TW, Boden C, Bowd C, Bourne R, Zangwill L, Sejnowski T, Spinak D, Weinreb RN. Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defects. Invest Ophthalmol Vis Sci. 2005 Oct; 46(10):3676-83. PMID: 16186349.
        View in: PubMed
      23. Sample PA, Boden C, Zhang Z, Pascual J, Lee TW, Zangwill LM, Weinreb RN, Crowston JG, Hoffmann EM, Medeiros FA, Sejnowski T, Goldbaum M. Unsupervised machine learning with independent component analysis to identify areas of progression in glaucomatous visual fields. Invest Ophthalmol Vis Sci. 2005 Oct; 46(10):3684-92. PMID: 16186350.
        View in: PubMed
      24. Bowd C, Medeiros FA, Zhang Z, Zangwill LM, Hao J, Lee TW, Sejnowski TJ, Weinreb RN, Goldbaum M. Relevance vector machine and support vector machine classifier analysis of scanning laser polarimetry retinal nerve fiber layer measurements. Invest Ophthalmol Vis Sci. 2005 Apr; 46(4):1322-9. PMID: 15790898.
        View in: PubMed
      25. Goldbaum M. Unsupervised learning with independent component analysis can identify patterns of glaucomatous visual field defects. Trans Am Ophthalmol Soc. 2005; 103:270-80. PMID: 17057807.
        View in: PubMed
      26. Zangwill LM, Chan K, Bowd C, Hao J, Lee TW, Weinreb RN, Sejnowski TJ, Goldbaum M. Heidelberg retina tomograph measurements of the optic disc and parapapillary retina for detecting glaucoma analyzed by machine learning classifiers. Invest Ophthalmol Vis Sci. 2004 Sep; 45(9):3144-51. PMID: 15326133.
        View in: PubMed
      27. Lee AC, Crowston JG, Goldbaum M, Weinreb RN. Late intraocular pressure rise after repeat intravitreal triamcinolone acetonide injections. Semin Ophthalmol. 2004 Sep-Dec; 19(3-4):119-21. PMID: 15590552.
        View in: PubMed
      28. Sample PA, Chan K, Boden C, Lee TW, Blumenthal EZ, Weinreb RN, Bernd A, Pascual J, Hao J, Sejnowski T, Goldbaum M. Using unsupervised learning with variational bayesian mixture of factor analysis to identify patterns of glaucomatous visual field defects. Invest Ophthalmol Vis Sci. 2004 Aug; 45(8):2596-605. PMID: 15277482.
        View in: PubMed
      29. Bowd C, Zangwill LM, Medeiros FA, Hao J, Chan K, Lee TW, Sejnowski TJ, Goldbaum M, Sample PA, Crowston JG, Weinreb RN. Confocal scanning laser ophthalmoscopy classifiers and stereophotograph evaluation for prediction of visual field abnormalities in glaucoma-suspect eyes. Invest Ophthalmol Vis Sci. 2004 Jul; 45(7):2255-62. PMID: 15223803.
        View in: PubMed
      30. McGuire DE, Weinreb RN, Goldbaum M. Foveal hypoplasia demonstrated in vivo with optical coherence tomography. Am J Ophthalmol. 2003 Jan; 135(1):112-4. PMID: 12504716.
        View in: PubMed
      31. Bowd C, Chan K, Zangwill LM, Goldbaum M, Lee TW, Sejnowski TJ, Weinreb RN. Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic disc. Invest Ophthalmol Vis Sci. 2002 Nov; 43(11):3444-54. PMID: 12407155.
        View in: PubMed
      32. Seaberg RR, Freeman WR, Goldbaum M, Manecke GR. Permanent postoperative vision loss associated with expansion of intraocular gas in the presence of a nitrous oxide-containing anesthetic. Anesthesiology. 2002 Nov; 97(5):1309-10. PMID: 12411820.
        View in: PubMed
      33. Chan K, Lee TW, Sample PA, Goldbaum M, Weinreb RN, Sejnowski TJ. Comparison of machine learning and traditional classifiers in glaucoma diagnosis. IEEE Trans Biomed Eng. 2002 Sep; 49(9):963-74. PMID: 12214886.
        View in: PubMed
      34. Sample PA, Goldbaum M, Chan K, Boden C, Lee TW, Vasile C, Boehm AG, Sejnowski T, Johnson CA, Weinreb RN. Using machine learning classifiers to identify glaucomatous change earlier in standard visual fields. Invest Ophthalmol Vis Sci. 2002 Aug; 43(8):2660-5. PMID: 12147600.
        View in: PubMed
      35. Goldbaum M, Sample PA, Chan K, Williams J, Lee TW, Blumenthal E, Girkin CA, Zangwill LM, Bowd C, Sejnowski T, Weinreb RN. Comparing machine learning classifiers for diagnosing glaucoma from standard automated perimetry. Invest Ophthalmol Vis Sci. 2002 Jan; 43(1):162-9. PMID: 11773027.
        View in: PubMed
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