Forecasting Retinal Nerve Fiber Layer Thickness from Multimodal Temporal Data Incorporating OCT Volumes.
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| Title: | Forecasting Retinal Nerve Fiber Layer Thickness from Multimodal Temporal Data Incorporating OCT Volumes. |
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| Authors: | Sedai S; IBM Research-Australia, Melbourne, Australia., Antony B; IBM Research-Australia, Melbourne, Australia., Ishikawa H; Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York., Wollstein G; Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York., Schuman JS; Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York.; Department of Physiology and Neuroscience, NYU Langone Health, New York, New York.; Departments of Biomedical, Electrical, and Computer Engineering, NYU Tandon School of Engineering, Brooklyn, New York.; Center for Neural Science, New York University, New York, New York., Garnavi R; IBM Research-Australia, Melbourne, Australia. |
| Source: | Ophthalmology. Glaucoma [Ophthalmol Glaucoma] 2020 Jan-Feb; Vol. 3 (1), pp. 14-24. Date of Electronic Publication: 2019 Nov 08. |
| Publication Type: | Comparative Study; Journal Article; Observational Study; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101730510 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2589-4196 (Electronic) Linking ISSN: 25894196 NLM ISO Abbreviation: Ophthalmol Glaucoma Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2589-4196 |
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| DOI: | 10.1016/j.ogla.2019.11.001 |
