Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray

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

(2021) Xiaocong Chen et al.   PATTERN RECOGNITION

COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks

(2021) Wenqi Shi et al.   IEEE Journal of Biomedical and Health Informatics

SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network

(2021) Aayush Kumar et al.   PATTERN RECOGNITION

MetaMed: Few-shot medical image classification using gradient-based meta-learning

(2021) Rishav Singh et al.   PATTERN RECOGNITION

An interpretable machine learning model based on a quick pre-screening system enables accurate deterioration risk prediction for COVID-19

(2021) Lijing Jia et al.   Scientific Reports

COVID-19 Screening in Chest X-Ray Images Using Lung Region Priors

(2021) Jianpeng An et al.   IEEE Journal of Biomedical and Health Informatics

Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing

(2020) Xingzhi Xie 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

Clinical and CT imaging features of the COVID-19 pneumonia: Focus on pregnant women and children

(2020) Huanhuan Liu et al.   JOURNAL OF INFECTION

Artificial intelligence–enabled rapid diagnosis of patients with COVID-19

(2020) Xueyan Mei et al.   NATURE MEDICINE

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

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

Review of Chest Radiograph Findings of COVID-19 Pneumonia and Suggested Reporting Language

(2020) Diana E. Litmanovich et al.   JOURNAL OF THORACIC IMAGING

Classification of femur fracture in pelvic X-ray images using meta-learned deep neural network

(2020) Changhwan Lee et al.   Scientific Reports

Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning

(2020) Shervin Minaee et al.   MEDICAL IMAGE ANALYSIS

MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients

(2020) Mohammad Shorfuzzaman et al.   PATTERN RECOGNITION

Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods

(2020) Mizuho Nishio et al.   Scientific Reports

Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

(2020) Hamed Jelodar et al.   IEEE Journal of Biomedical and Health Informatics

Self-supervised learning for medical image analysis using image context restoration

(2019) Liang Chen et al.   MEDICAL IMAGE ANALYSIS

Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition

(2017) Iñigo Jauregi Unanue et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Recurrent neural networks for classifying relations in clinical notes

(2017) Yuan Luo   JOURNAL OF BIOMEDICAL INFORMATICS