| |
original article |
Date |
Title |
Authors Max. 6 Authors |
| 1 |
[GO] |
2026―Mar―18 |
Transformer-based Fusion of Longitudinal Multimodal Radiomic Features from Chest Radiography and CT in COVID-19 |
Chunrui Zou, Walter Mankowski, Lauren Pantalone, Hannah Horng, Shefali Setia Verma, Eduardo J. Mortani Barbosa, Tessa S. Cook, Peter B. Noel, Erica L. Carpenter, Jeffrey C. Thompson, Russell T. Shinohara, Leonid Roshkovan, Sharyn I. Katz, Despina Kontos |
| 2 |
[GO] |
2022―Jun―01 |
Performance of a Chest Radiograph AI Diagnostic Tool for COVID-19: A Prospective Observational Study |
Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve B. Melton-Meaux, Nicholas Ingraham, Eric Murray, Daniel Boley, Sean Switzer, John L. Burns, Kun Huang, Tadashi Allen, Scott D. Steenburg, Judy Wawira Gichoya, Erich Kummerfeld, Christopher Tignanelli |
| 3 |
[GO] |
2021―Mar―24 |
Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise |
Derek Driggs, Ian Selby, Michael Roberts, Effrossyni Gkrania-Klotsas, James H. F. Rudd, Guang Yang, Judith Babar, Evis Sala, Carola-Bibiane Schönlieb |
| 4 |
[GO] |
2020―Dec―16 |
Combining Initial Radiographs and Clinical Variables Improves Deep Learning Prognostication of Patients with COVID-19 from the Emergency Department |
Young Joon (Fred) Kwon, Danielle Toussie, Mark Finkelstein, Mario A. Cedillo, Samuel Z. Maron, Sayan Manna, Nicholas Voutsinas, Corey Eber, Adam Jacobi, Adam Bernheim, Yogesh Sean Gupta, Michael S. Chung, Zahi A. Fayad, Benjamin Glicksberg, Eric K. Oermann, Anthony B. Costa |
| 5 |
[GO] |
2020―Jul―29 |
Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT |
Shikha Chaganti, Philippe Grenier, Abishek Balachandran, Guillaume Chabin, Stuart Cohen, Thomas Flohr, Bogdan Georgescu, Sasa Grbic, Siqi Liu, François Mellot, Nicolas Murray, Savvas Nicolaou, William Parker, Thomas Re, Pina Sanelli, Alexander W. Sauter, Zhoubing Xu, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu |
| 6 |
[GO] |
2020―Jul―22 |
Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks |
Matthew D. Li, Nishaeminth Thumbavanam Arun, Mishka Gidwani, Ken Chang, Francis Deng, Brent P. Little, Dexter P. Mendoza, Min Lang, Susanna I. Lee, Aileen O’Shea, Anushri Parakh, Praveer Singh, Jayashree Kalpathy-Cramer |
| 7 |
[GO] |
2020―May―06 |
How Might AI and Chest Imaging Help Unravel COVID-19’s Mysteries? |
Shinjini Kundu, Hesham Elhalawani, Judy W. Gichoya, Charles E. Kahn |
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