Co-Authors
This is a "connection" page, showing publications co-authored by Matthew Li and Jayashree Kalpathy-Cramer.
Connection Strength
3.207
-
Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs. Acad Radiol. 2021 04; 28(4):572-576.
Score: 0.925
-
Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports. AJNR Am J Neuroradiol. 2021 03; 42(3):429-434.
Score: 0.919
-
Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks. Radiol Artif Intell. 2020 Jul; 2(4):e200079.
Score: 0.894
-
Automated tracking of emergency department abdominal CT findings during the COVID-19 pandemic using natural language processing. Am J Emerg Med. 2021 Nov; 49:52-57.
Score: 0.237
-
Prolonged Intubation in Patients With Prior Cerebrovascular Disease and COVID-19. Front Neurol. 2021; 12:642912.
Score: 0.059
-
Right Ventricular Strain Is Common in Intubated COVID-19 Patients and Does Not Reflect Severity of Respiratory Illness. J Intensive Care Med. 2021 Aug; 36(8):900-909.
Score: 0.059
-
Severity of Chest Imaging is Correlated with Risk of Acute Neuroimaging Findings among Patients with COVID-19. AJNR Am J Neuroradiol. 2021 05; 42(5):831-837.
Score: 0.058
-
CoVA: An Acuity Score for Outpatient Screening that Predicts Coronavirus Disease 2019 Prognosis. J Infect Dis. 2021 01 04; 223(1):38-46.
Score: 0.058