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Paper Details

Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes.
Sci Rep
12
2022
COVID, COVID-19, coronavirus disease, participants, patient, patients, pneumonia, pulmonary, pulmonary lesions, viral pneumonia
Algorithms, COVID-19, Databases, Genetic, Deep Learning, Humans, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Prognosis, SARS-CoV-2, Thorax, Tomography, X-Ray Computed
Author NameAffiliation
Anthony Ortiz
Anusua Trivedi
Jocelyn Desbiens
Marian BlazesUniversity of Washington
Caleb Robinson
Sunil Gupta
Rahul Dodhia
Pavan K BhatrajuUniversity of Washington (SCORE-UW)
Wayne Conrad LilesUniversity of Washington (SCORE-UW)
Aaron LeeUniversity of Washington
Juan Lavista Ferres
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