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COVID Antworten in den wissenschaftlichen Zeitschriften der Welt


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Radiological Society of North America: Radiology Artificial Intelligence
  Original Artikel Datum Titel Autoren   Alle Autoren
1 [GO] 2026―Mrz―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, et al. (+8)
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, et al. (+11)
3 [GO] 2021―Mrz―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, et al. (+3)
4 [GO] 2020―Dez―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, et al. (+10)
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, et al. (+14)
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, et al. (+7)
7 [GO] 2020―Mai―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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