Abul Hayat
Researcher
Also affiliated: Lawrence Berkeley National Laboratory (2021); Hebrew University of Jerusalem (1977)
Unknown Researcher
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Abul Hayat's research has explored the application of self-supervised representation learning for astronomical images, with publications in this area in 2021. His work includes estimating galactic distances using these learned representations. Prior to this, his research interests, as indicated by MeSH terms, included studies on pulse, animals, blood volume, dogs, light, and biological models, with a focus on plethysmography. Hayat's academic profile includes a total of four publications, accumulating 65 citations, and an h-index of 3.
Metrics
- h-index: 3
- Publications: 4
- Citations: 68
Selected Publications
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Self-supervised Representation Learning for Astronomical Images (2021)
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Venous Physiology Predicts Anesthetic Induced Hypotension in Infants (2018)
Collaboration Network
Top Collaborators
- Self-supervised Representation Learning for Astronomical Images
- Self-supervised Representation Learning for Astronomical Images
- Self-supervised Representation Learning for Astronomical Images
- Self-supervised Representation Learning for Astronomical Images
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