Co-Authors
This is a "connection" page, showing publications co-authored by Mannudeep Kalra and Rosa Babaei.
Connection Strength
1.203
-
Investigating centering, scan length, and arm position impact on radiation dose across 4 countries from 4 continents during pandemic: Mitigating key radioprotection issues. Phys Med. 2021 Apr; 84:125-131.
Score: 0.235
-
Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome. J Digit Imaging. 2021 Apr; 34(2):320-329.
Score: 0.233
-
Computed Tomography Radiomics Can Predict Disease Severity and Outcome in Coronavirus Disease 2019 Pneumonia. J Comput Assist Tomogr. 2020 Sep/Oct; 44(5):640-646.
Score: 0.225
-
CT Radiomics, Radiologists, and Clinical Information in Predicting Outcome of Patients with COVID-19 Pneumonia. Radiol Cardiothorac Imaging. 2020 Aug; 2(4):e200322.
Score: 0.223
-
CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images. NPJ Digit Med. 2021 Feb 18; 4(1):29.
Score: 0.058
-
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records. Eur J Radiol. 2021 Jun; 139:109583.
Score: 0.058
-
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. IEEE J Biomed Health Inform. 2020 12; 24(12):3529-3538.
Score: 0.057
-
Integrative analysis for COVID-19 patient outcome prediction. Med Image Anal. 2021 01; 67:101844.
Score: 0.057
-
Clinical and imaging features predict mortality in COVID-19 infection in Iran. PLoS One. 2020; 15(9):e0239519.
Score: 0.057