Periphery-aware COVID-19 diagnosis with contrastive representation enhancement

Multi-task Contrastive Learning for Automatic CT and X-ray Diagnosis of COVID-19

(2021) Jinpeng Li et al.   PATTERN RECOGNITION

Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images

(2021) Xiaocong Chen et al.   PATTERN RECOGNITION

Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography

(2020) Kang Zhang et al.   CELL

Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT

(2020) Lin Li et al.   RADIOLOGY

A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19

(2020) Youssoufa Mohamadou et al.   APPLIED INTELLIGENCE

Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images

(2020) Jun Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia

(2020) Xi Ouyang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

(2020) Xinggang Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19

(2020) Ho Yuen Frank Wong et al.   RADIOLOGY

A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia

(2020) Xiaowei Xu et al.   Engineering

Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays

(2020) Zheng Wang et al.   PATTERN RECOGNITION

Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification

(2020) Zhao Wang et al.   IEEE Journal of Biomedical and Health Informatics

Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network

(2019) Fangzhou Liao et al.   IEEE Transactions on Neural Networks and Learning Systems