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Office
2825 Oak Lawn Ave
Dallas, TX 75219Phone+1 512-436-3986Fax+1 877-880-2039
Summary
- Dr. Adam Coy is a radiologist based in San Francisco, CA, specializing in bone imaging and musculoskeletal radiology. He completed his medical education at Emory University School of Medicine, followed by an internship at Santa Clara Valley Medical Center, and a residency in radiology at the University of California, San Francisco. Since 2015, he has been serving as a physician at both Zuckerberg San Francisco General Hospital and UCSF Medical Center, and in 2019, he joined Vision Professional Services/Vision Radiology. Dr. Coy has contributed to the field through several publications, including research on MRI imaging, artificial intelligence in medical imaging, and deep learning for emphysema quantification, with his work being cited by peers numerous times.
Education & Training
- University of California (San Francisco)Residency, Radiology-Diagnostic, 2015 - 2019
- Santa Clara Valley Medical CenterInternship, Transitional Year, 2014 - 2015
- Emory University School of MedicineClass of 2014, MD
Certifications & Licensure
- TX State Medical License 2019 - 2026
- GA State Medical License 2019 - 2026
- HI State Medical License 2019 - 2026
- IL State Medical License 2019 - 2026
- PA State Medical License 2020 - 2026
- MD State Medical License 2019 - 2026
- MI State Medical License 2020 - 2026
- American Board of Radiology Diagnostic Radiology
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Publications & Presentations
PubMed
- 17 citationsCT-like MRI: a qualitative assessment of ZTE sequences for knee osseous abnormalities.Upasana Upadhyay Bharadwaj, Adam Coy, Daria Motamedi, Dong Sun, Gabby B Joseph
Skeletal Radiology. 2022-08-01 - 23 citationsOn the Role of Artificial Intelligence in Medical Imaging of COVID-19.Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana Mukherjee
Patterns. 2021-06-11 - 4 citationsAn End-to-End Deep Learning Pipeline for Emphysema Quantification Using Multi-label LearningMohammadreza Negahdar, Adam Coy, David Beymer
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2019-07-01
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