Papers citing 'COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring'

Title
Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images Bouthaina Slika Fadi Dornaika H. Merdji K. Hammoudi ViT MedIm 130 3 0 18 Mar 2023
COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures Nam H. Nguyen Jerome Chang 167 3 0 06 Jul 2021
Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images J. E. Arco A. Ortiz Javier Ramírez Juan M Gorriz 114 0 0 28 Jun 2021
CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge DistillationEuropean Conference on Computer Vision (ECCV), 2021 Y. Oh Jong Chul Ye MedIm 204 3 0 13 Apr 2021
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications Arash Mohammadi Yingxu Wang Nastaran Enshaei Parnian Afshar F. Naderkhani A. Oikonomou M. Rafiee H. C. R. Oliveira Svetlana Yanushkevich Konstantinos N. Plataniotis LM&MA 116 5 0 28 Dec 2020
MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features D. Gomes M. J. Horry Anwaar Ulhaq M. Paul Subrata Chakraborty M. Saha Tanmoy Debnath D. M. Rahaman 248 3 0 30 Nov 2020
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans M. Roberts D. Driggs Matthew Thorpe J. Gilbey Michael Yeung ... Kang Zhang S. Stranks James H. F. Rudd Evis Sala Carola-Bibiane Schönlieb OOD 245 821 0 14 Aug 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future Joseph Paul Cohen Paul Morrison Lan Dao Karsten Roth T. Duong Marzyeh Ghassemi 178 812 0 22 Jun 2020