CNL Publication Index: BibTeX
This database contains all the publications of Terrence J. Sejnowski starting in 1969.
Most of these publications can be downloaded in PDF format. They are made available for individual use only; contact the publisher and the author to receive permission for reproduction in any form.
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9 Total.
- Zhang, Z., Cisneros, E., Lee, H. Y., Vu, J. P., Chen, Q., Benadof, C.N., Whitehill, J., Rouzbehani, R., Sy D.T., Huang, J.S., Sejnowski, T.J., Jankovic, J., Factor, S., Goetz, C.G., Barbano, R.L., Perlmutter, J.S., Jinnah, H.A., Berman, B.D., Richardson, Hold that pose: capturing cervical dystonia's head deviation severity from video, Ann Clin Transl Neurol., doi: 10.1002/acn3.51549, 2022 (PDF)
- Bowd, C. Medeiros, F. A. Zhang, Z. Zangwill, L. M. Hao, J. Lee, T.-W. Sejnowski, T. J. Weinberg, R. J. Goldbaum, M. H. Relevance Vector Machine and Support Vector Machine Classifier Analysis of Scanning Laser Polarimetry Retinal Nerve Fiber Layer Measurements, Investigative Ophthalmology & Visual Science, Vol. 46, No. 4, 2005 (PDF)
- Sample, P. A. Boden, C. Zhang, Z. Pascual, J. Lee, T.-W. Zangwill, L. A. Weinreb, R. N. Crowston, J. G. Hoffmann, E. M. Medeiros, F. A. Sejnowski, T. J. Goldbaum, M. Unsupervised Machine Learning with Independent Component Analysis to Identify Areas of Progression in Glaucomatous Visual Fields, Investigative Ophthalmology and Visual Science, 46(10):3684-92, 2005 PMCID:PMC1832121 (PDF)
- Goldbaum, M. Sample, P. A. Zhang, Z. Chan, K. Hao, J, Lee T.-W. Boden, C. Bourne, R. Zangwill, L. A. Sejnowski, T. J. Spinak, D. Weinreb, R. N. Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defects, Investigative Ophthalmology and Visual Science, 46(10):3676-83, 2005 PMCID:PMC1866286 (PDF)
- Zhang, Z. Vu, J. P. Chen, Q. Cisneros, E. Benadof, C. N. Sejnowski, T. J. Perlmutter, J. S. Stebbins, G. T. Comella, C. Peterson, D. A. Phenotyping cervical dystonia: using clinical video recordings and computer vision to capture triaxial head posture, Society for Neuroscience Abstracts, 2018
- Pascual, J. P. Zhang, Z. Hughes, A. J. Hao, J. Lee, T.–W. Sejnowski, T. J. Goldbaum, M. H. Weinreb, R. N. Sample, P.A. Diagnosing Glaucoma from Frequency Doubling Technology Perimetry Using Supervised Machine Learning Classifiers, Invest. Ophthalmol. Vis. Sci., 45: 2124, 2004 (PDF)
- Goldbaum, M. H. Sample, P. A. Zangwill, L. M. Bowd, C. Boden, C. Lee, T.–W. Zhang, Z. Hao, J. Sejnowski, T. J. Weinreb, R. N. Probability of Glaucoma Determined from Standard Automated Perimetry and from Optic Disk Topography using Relevance Vector Machine Classifiers, Invest. Ophthalmol. Vis. Sci., 45: 2137, 2004 (PDF)
- Bowd, C. Medeiros, F. A. Zangwill, L. M. Zhang, Z. Hao, J. Chan, K. Lee, T.–W. Goldbaum, M. H. Sejnowski, T. J. Weinreb, R. N. Support Vector Machine Analysis of VCC Scanning Laser Polarimetry RNFL Thickness Measurements, Invest. Ophthalmol. Vis. Sci., 45: 3405, 2004 (PDF)
- Sample, P. A. Zhang, Z. Pascual, J. Chan, K. Boden, C. Hao, J. Lee, T.–W. Weinreb, R. N. Sejnowski, T. J. Goldbaum, M Unsupervised Machine Learning with Independent Component Analysis Identifies Areas of Progression in Glaucomatous Visual Fields, Investigative Ophthalmology and Visual Science, 45: 3471, 2004 (PDF)