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Radiology. Cardiothoracic Imaging|March 29, 2021
Implementation of the Radiological Society of North America Expert Consensus Guidelines on Reporting Chest CT Findings Related to COVID-19: A Multireader Performance StudyAvik Som, Min Lang, Tristan Yeung, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networksMatthew D Li, Nishanth Thumbavanam Arun, Mishka Gidwani, et al.
Radiology. Artificial Intelligence|April 30, 2021
Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural NetworksMatthew D Li, Nishanth Thumbavanam Arun, Mishka Gidwani, et al.
AJR. American Journal of Roentgenology|April 14, 2021
Comparison of Chest CT Findings of COVID-19, Influenza, and Organizing Pneumonia: A Multireader StudySherief H Garrana, Avik Som, Gabrielle S Ndakwah, et al.
Radiology|July 17, 2020
Racial and Ethnic Disparities in Disease Severity on Admission Chest Radiographs among Patients Admitted with Confirmed Coronavirus Disease 2019: A Retrospective Cohort StudyNicholos P Joseph, Nicholas J Reid, Avik Som, et al.
AJR. American Journal of Roentgenology|January 26, 2022
Lung-RADS Category 3 and 4 Nodules on Lung Cancer Screening in Clinical PracticeDexter P Mendoza, Milena Petranovic, Avik Som, et al.
POCUS Journal|December 15, 2023
Handheld Lung Ultrasound to Detect COVID-19 Pneumonia in Inpatients: A Prospective Cohort StudyThomas F Heyne, Kay Negishi, Daniel S Choi, et al.
Medicine|July 22, 2022
Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19Matthew D Li, Nishanth T Arun, Mehak Aggarwal, et al.
Medrxiv : the Preprint Server for Health Sciences|September 30, 2020
Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19Matthew D Li, Nishanth T Arun, Mehak Aggarwal, et al.
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