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npj Digital Medicine
(Sep 2024)
Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling
Gregory Holste,
Mingquan Lin,
Ruiwen Zhou,
Fei Wang,
Lei Liu,
Qi Yan,
Sarah H. Van Tassel,
Kyle Kovacs,
Emily Y. Chew,
Zhiyong Lu,
Zhangyang Wang,
Yifan Peng
Affiliations
Gregory Holste
Department of Population Health Sciences, Weill Cornell Medicine
Mingquan Lin
Department of Population Health Sciences, Weill Cornell Medicine
Ruiwen Zhou
Center for Biostatistics and Data Science, Washington University School of Medicine
Fei Wang
Department of Population Health Sciences, Weill Cornell Medicine
Lei Liu
Center for Biostatistics and Data Science, Washington University School of Medicine
Qi Yan
Department of Obstetrics & Gynecology, Columbia University Irving Medical Center
Sarah H. Van Tassel
Israel Englander Department of Ophthalmology, Weill Cornell Medicine
Kyle Kovacs
Israel Englander Department of Ophthalmology, Weill Cornell Medicine
Emily Y. Chew
Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health (NIH)
Zhiyong Lu
National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH)
Zhangyang Wang
Department of Electrical and Computer Engineering, The University of Texas at Austin
Yifan Peng
Department of Population Health Sciences, Weill Cornell Medicine
DOI
https://doi.org/10.1038/s41746-024-01243-0
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 1
Abstract
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No abstracts available.
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