Automatic Sequence-Based Network for Lung Diseases Detection in Chest CT

Large-scale screening of COVID-19 from community acquired pneumonia using infection size-aware classification

(2021) Feng Shi et al.   PHYSICS IN MEDICINE AND BIOLOGY

Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks

(2021) Ali Narin et al.   PATTERN ANALYSIS AND APPLICATIONS

Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images

(2021) Ying Song et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

(2020) Chaolin Huang et al.   LANCET

A novel coronavirus outbreak of global health concern

(2020) Chen Wang et al.   LANCET

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR

(2020) Yicheng Fang et al.   RADIOLOGY

Time Course of Lung Changes On Chest CT During Recovery From 2019 Novel Coronavirus (COVID-19) Pneumonia

(2020) Feng Pan et al.   RADIOLOGY

Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

(2020) Tao Ai et al.   RADIOLOGY

AI Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Etiology on Chest CT

(2020) Harrison X. Bai et al.   RADIOLOGY

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

(2020) Lin Li et al.   RADIOLOGY

Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning

(2020) Hengyuan Kang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

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

Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans

(2020) Weiyi Xie 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 Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

(2020) Guotai Wang 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

Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning

(2020) Zhongyi Han et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

(2020) Deng-Ping Fan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets

(2020) Yujin Oh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound

(2020) Subhankar Roy et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Res2Net: A New Multi-Scale Backbone Architecture

(2019) Shang-Hua Gao et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs

(2018) Sivaramakrishnan Rajaraman et al.   Applied Sciences-Basel

CT of Viral Lower Respiratory Tract Infections in Adults: Comparison Among Viral Organisms and Between Viral and Bacterial Infections

(2011) Wallace T. Miller et al.   AMERICAN JOURNAL OF ROENTGENOLOGY