Article #	Article title	Publication URL
1.	Can AI Help in Screening Viral and COVID-19 Pneumonia?	https://ieeexplore.ieee.org/document/9144185
2.	Deep transfer learning artificial intelligence accurately stages COVID-19 lung disease severity on portable chest radiographs	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386587/
3.	Imaging of COVID-19 pneumonia: Patterns, pathogenesis, and advances	https://www.birpublications.org/doi/10.1259/bjr.20200538?url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org&rfr_dat=cr_pub++0pubmed
4.	Implementation of a Deep Learning-Based Computer-Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19	https://www.kjronline.org/DOIx.php?id=10.3348/kjr.2020.0536
5.	Automated detection of COVID-19 cases using deep neural networks with X-ray images	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187882/
6.	AI Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Etiology on Chest CT	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233483/
7.	Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases	https://link.springer.com/article/10.1007%2Fs40846-020-00529-4
8.	Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects	https://www.sciencedirect.com/science/article/pii/S187603412030558X
9.	Automated detection and quantification of COVID-19 pneumonia: CT imaging analysis by a deep learning-based software	https://link.springer.com/article/10.1007/s00259-020-04953-1
10.	End-to-end automatic differentiation of the coronavirus disease 2019 (COVID-19) from viral pneumonia based on chest CT	https://link.springer.com/article/10.1007/s00259-020-04929-1
11.	Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19	https://ieeexplore.ieee.org/document/9069255
12.	A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images	https://link.springer.com/article/10.1007/s00330-020-07044-9
13.	Coronavirus Disease 2019 (COVID-19) diagnostic technologies: A country-based retrospective analysis of screening and containment procedures during the first wave of the pandemic	https://www.sciencedirect.com/science/article/pii/S0899707120303193
14.	Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare	https://www.sciencedirect.com/science/article/pii/S136184152030164X
15.	Interpretable artificial intelligence framework for COVID-19 screening on chest X-rays/	https://www.spandidos-publications.com/10.3892/etm.2020.8797
16.	Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320858/
17.	COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework with a Single Chest CT Image: Model Development and Validation	https://www.jmir.org/2020/6/e19569/
18.	On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259808/#__ffn_sectitle
19.	COVID-19: A Multimodality Review of Radiologic Techniques, Clinical Utility, and Imaging Features	https://pubs.rsna.org/doi/full/10.1148/ryct.2020200210
20.	How Might AI and Chest Imaging Help Unravel COVID-19’s Mysteries?	https://pubs.rsna.org/doi/10.1148/ryai.2020200053
21.	Diagnosis of COVID-19 Pneumonia Using Chest Radiography: Value of Artificial Intelligence	https://pubs.rsna.org/doi/10.1148/radiol.2020202944