Developing an Efficient Deep Neural Network for Automatic Detection of COVID-19 Using Chest X-ray Images

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

(2020) Chaolin Huang et al.   LANCET

A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

(2020) Vikash Chouhan et al.   Applied Sciences-Basel

Covert COVID-19 and false-positive dengue serology in Singapore

(2020) Gabriel Yan et al.   LANCET INFECTIOUS DISEASES

Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks

(2020) Ali Abbasian Ardakani et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning

(2020) Aayush Jaiswal et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images

(2020) Ferhat Ucar et al.   MEDICAL HYPOTHESES

An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare

(2019) Okeke Stephen et al.   Journal of Healthcare Engineering

Deep convolutional neural network for classification of sleep stages from single-channel EEG signals

(2019) Z. Mousavi et al.   JOURNAL OF NEUROSCIENCE METHODS

Research on a Surface Defect Detection Algorithm Based on MobileNet-SSD

(2018) Yiting Li et al.   Applied Sciences-Basel