A deep learning system for detecting diabetic retinopathy across the disease spectrum
2021 · Nature Communications · 567 citations
https://doi.org/10.1038/s41467-021-23458-5
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Xiangning Wang
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Xiangning Wang is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Retinal Diseases and Treatments & Retinal Imaging and Analysis & Glaucoma and retinal disorders. The author has an h-index of 20, co-authored 89 publications.
ORCID: 0000-0003-2608-9026Papers by this author
worksA deep learning system for predicting time to progression of diabetic retinopathy
2024 · Nature Medicine · 265 citations
https://doi.org/10.1038/s41591-023-02702-z
Artificial intelligence in diabetes management: Advancements, opportunities, and challenges
2023 · Cell Reports Medicine · 243 citations
https://doi.org/10.1016/j.xcrm.2023.101213
DeepDRiD: Diabetic Retinopathy—Grading and Image Quality Estimation Challenge
2022 · Patterns · 178 citations
https://doi.org/10.1016/j.patter.2022.100512
A systematic review: Virtual-reality-based techniques for human exercises and health improvement
2023 · Frontiers in Public Health · 78 citations
https://doi.org/10.3389/fpubh.2023.1143947
DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images
2024 · Patterns · 70 citations
https://doi.org/10.1016/j.patter.2024.100929
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