LONGL-Net: temporal correlation structure guided deep learning model to predict longitudinal age-related macular degeneration severity is a research paper published in PNAS Nexus (2022). On theSindex it has a DataRank of 0. It has been cited 17 times.
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National Institutes of Health
Grant: EY030488
National Science Foundation
Grant: 1845666
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National Science Foundation
Grant: 1852606
BIGDATA: Collaborative Research: IA: Big Imaging-Omics Data Mining Framework for Precision Medicine
National Science Foundation
Grant: 1838627
SCH: INT: New Machine Learning Framework to Conduct Anesthesia Risk Stratification and Decision Support for Precision Health
National Science Foundation
Grant: 1837956
BIGDATA: IA: Collaborative Research: Asynchronous Distributed Machine Learning Framework for Multi-Site Collaborative Brain Big Data Mining
National Science Foundation
Grant: 1956002
III: Medium: Collaborative Research: Integrating Large-Scale Machine Learning and Edge Computing for Collaborative Autonomous Vehicles
National Science Foundation
Grant: 040588
NIGMS NIH HHS
Grant: R01 GM141076
Medical Research Council
Grant: MC_PC_17228
NIBIB NIH HHS
Grant: R01 EB034116
Medical Research Council
Grant: MC_QA137853
NEI NIH HHS
Grant: R21 EY030488
National Science Foundation
Grant: 2040588
NSF Convergence Accelerator Track D: A Trusted Integrative Model and Data Sharing Platform for Accelerating AI-Driven Health Innovation
National Institutes of Health
Grant: 5R21EY030488-02
Deep-learning-based prediction of AMD and its progression with GWAS and fundus image data
University of Pittsburgh Center for Research Computing
FWCI
2.22
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals