Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patients-Reference-Cited by-同舟云学术

Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patients

Author:

Tariq Amara¹,Tang Siyi²,Sakhi Hifza³,Celi Leo Anthony⁴,Newsome Janice M.⁵,Rubin Daniel L.⁶,Trivedi Hari⁵,Gichoya Judy Wawira⁵,Banerjee Imon⁷

Affiliation:

1. Mayo Clinic, Department of Administration, Phoenix, Arizona, United States

2. Stanford University, Department of Electrical Engineering, Stanford, California, United States

3. Philadelphia College of Osteopathic Medicine - Georgia Campus, Swanee, Georgia, United States

4. Massachusetts Institute of Technology, Boston, Massachusetts, United States

5. Emory University, School of Medicine, Department of Radiology and Imaging Sciences, Atlanta, Georgia, United States

6. Stanford University, Department of Biomedical Data Science, Stanford, California, United States

7. Mayo Clinic, Department of Radiology, Phoenix, Arizona, United States

Funder

National Science Foundation

National Institute of Biomedical Imaging and Bioengineering

HHS|NIH|National Cancer Institute

National Institutes of Health

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

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