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Ryan T. Sieberg
University of California, San Francisco
· US
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Area of research
Artificial Intelligence · Molecular Biology
Research interest
Research interests include Topic Modeling, AI in cancer detection, Biomedical Text Mining and Ontologies, and Radiomics and Machine Learning in Medical Imaging.
h-index
6
citations
238
works
16
NIH funding
—
primary concept
—
email
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Recent publications
Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer
Radiology
2022
cited by
52
position: middle
doi
Grants
No grants ingested yet.
Frequent collaborators
Amie Y. Lee
· University of California, San Francisco
1
papers (2022–2022)
Bonnie N. Joe
· University of California, San Francisco
1
papers (2022–2022)
Maggie Chung
· University of California, Riverside
1
papers (2022–2022)
Nola M. Hylton
· UCSF Helen Diller Family Comprehensive Cancer Center
1
papers (2022–2022)
Evan Calabrese
· Duke University
1
papers (2022–2022)
Jessica H. Hayward
· University of California, San Francisco
1
papers (2022–2022)
Kimberly M. Ray
· University of California, San Francisco
1
papers (2022–2022)
John Mongan
· University of California, San Francisco
1
papers (2022–2022)
Tatiana Kelil
· University of California, San Francisco
1
papers (2022–2022)
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