Deep Imbalanced Regression Model for Predicting Refractive Error from Retinal Photos
Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
Authors
- Jocelyn Hui Lin Goh (ORCID: https://orcid.org/0000-0002-5052-6081)
- Charumathi Sabanayagam (ORCID: https://orcid.org/0000-0002-4042-4719)
- Victor Koh (ORCID: https://orcid.org/0000-0003-4134-7142)
- Can Can Xue (ORCID: https://orcid.org/0000-0002-2747-6215)
- Ching‐Yu Cheng (ORCID: https://orcid.org/0000-0003-0655-885X)
- Yibing Chen (ORCID: https://orcid.org/0000-0002-7444-3088)
- Xiaofeng Lei (ORCID: https://orcid.org/0000-0001-9290-9198)
- Xinxing Xu (ORCID: https://orcid.org/0000-0003-1449-3072)
- Krithi Pushpanathan (ORCID: https://orcid.org/0000-0001-6263-8489)
- Jost Bruno Jonas (ORCID: https://orcid.org/0000-0003-2972-5227)
- Yih Chung Tham (ORCID: https://orcid.org/0000-0002-6752-797X)
- Samantha Min Er Yew
- Ya Xing Wang
- Yong Liu (ORCID: https://orcid.org/0000-0001-9945-8131)
Institutions
- Agency for Science, Technology and Research (SG)
- Beijing Tongren Hospital (CN)
- National University of Singapore (SG)
- Capital Medical University (CN)
- Heidelberg University (DE)
- Singapore National Eye Center (SG)
- University Hospital Heidelberg (DE)
- Institute of High Performance Computing (SG)
- Singapore Eye Research Institute (SG)
- Duke-NUS Medical School (SG)
- University Medical Centre Mannheim (DE)
- Institute of Molecular and Clinical Ophthalmology Basel (CH)
Publication Details
- Journal
- Ophthalmology Science
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1016/j.xops.2024.100659
- Citations
- 3
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- Agency for Science, Technology and Research
- Medical Research Council
- National Medical Research Council