Individualized Estimation of Baseline Retinal Nerve Fiber Layer Thickness Using Conditional Variational Autoencoder

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

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Publication Details

Journal
Ophthalmology Science
Published
2025-06-09
DOI
https://doi.org/10.1016/j.xops.2025.100849
Citations
1
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
1.36
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article

Individualized Estimation of Baseline Retinal Nerve Fiber Layer Thickness Using Conditional Variational Autoencoder

Kendrick Co Shih, Jonathan C.H. Chan, Ou Tan, David Huang et al.
1 citations
Ophthalmology Science
Retinal Imaging and Analysis
1.36
article

Individualized Estimation of Baseline Retinal Nerve Fiber Layer Thickness Using Conditional Variational Autoencoder

Kendrick Co Shih, Jonathan C.H. Chan, Ou Tan, David Huang, Janice J. C. Cheung, Dongseok Choi, Alex L. K. Ng, GM Leung, Michael Y. Ni, Aiyin Chen, Keke Liu, Bonnie Nga Kwan Choy, J Wong, Ian Y. H. Wong, Jimmy S.M. Lai
article en
1 citations

Abstract

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Ophthalmology ScienceVol. 5(6)
Oregon Health & Science University (US), Duke University (US), Hong Kong Sanatorium and Hospital (HK), University of Hong Kong (HK)
Openalex Percentile: Top 19%
Retinal Imaging and Analysis
1.36
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Individualized Estimation of Baseline Retinal Nerve Fiber Layer Thickness Using Conditional Variational Autoencoder — Kendrick Co Shih, Jonathan C.H. Chan, et al. · Ophthalmology Science (2025) | TGRS Research Map | TGRS