image-segmentation-covid.md

Authors	Paper	Method	Region of Interest	Application
Zheng et al.	Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label	U-Net	Lung	Diagnosis
Cao et al.	Longitudinal Assessment of COVID-19 Using a Deep Learning–based Quantitative CT Pipeline: Illustration of Two Cases	U-Net	Lung, Lesion	Quantification
Huang et al.	Serial Quantitative Chest CT Assessment of COVID-19: Deep-Learning Approach	U-Net	Lung, Lung lobes, Lesion	Quantification
Qi et al.	Machine learning-based CT radiomics model for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: A multicenter study	U-Net	Lung lobes, Lesion	Quantification
Gozes et al.	Rapid ai development cycle for the coronavirus (covid-19) pandemic: Initial results for automated detection & patient monitoring using deep learning ct image analysis	U-Net	Lung, Leson	Diagnosis
Li et al.	Artificial intelligence distinguishes covid-19 from community acquired pneumonia on chest ct	U-Net	Lesion	Diagnosis
Chen et al.	Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography: a prospective study	UNet++	Lesion	Diagnosis
Jin et al.	AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system in four weeks	UNet++	Lung, Lesion	Diagnosis