Deep learning model for distinguishing novel coronavirus from other chest related infections in X-ray images

Escalating infection control response to the rapidly evolving epidemiology of the Coronavirus disease 2019 (COVID-19) due to SARS-CoV-2 in Hong Kong

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Emerging threats from zoonotic coronaviruses-from SARS and MERS to 2019-nCoV

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

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Mystery deepens over animal source of coronavirus

(2020) David Cyranoski   NATURE

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

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

COVID-19 Pandemic: Experiences in China and implications for its prevention and treatment worldwide

(2020) Ning-Ning Liu et al.   CURRENT CANCER DRUG TARGETS

Developing antibody tests for SARS-CoV-2

(2020) Anna Petherick   LANCET

Is the coronavirus airborne? Experts can’t agree

(2020) Dyani Lewis   NATURE

Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1

(2020) Neeltje van Doremalen et al.   NEW ENGLAND JOURNAL OF MEDICINE

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray

(2020) Tawsifur Rahman et al.   Applied Sciences-Basel

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

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

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

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Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection

(2020) Lal Hussain et al.   Biomedical Engineering Online

An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare

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

Upper limb motor pre-clinical assessment in Parkinson's disease using machine learning

(2019) Filippo Cavallo et al.   PARKINSONISM & RELATED DISORDERS

Brain tumor classification for MR images using transfer learning and fine-tuning

(2019) Zar Nawab Khan Swati et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning

(2019) Awwal Muhammad Dawud et al.   Computational Intelligence and Neuroscience

Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data

(2019) Po Yang et al.   ACM Transactions on Intelligent Systems and Technology

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

(2018) Daniel S. Kermany et al.   CELL

A new image classification method using CNN transfer learning and web data augmentation

(2018) Dongmei Han et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep networks in identifying CT brain hemorrhage

(2018) Abdulkader Helwan et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Added Value of Computer-aided CT Image Features for Early Lung Cancer Diagnosis with Small Pulmonary Nodules: A Matched Case-Control Study

(2018) Peng Huang et al.   RADIOLOGY

Preprints: An underutilized mechanism to accelerate outbreak science

(2018) Michael A. Johansson et al.   PLOS MEDICINE

Deep Convolutional Neural Networks for Chest Diseases Detection

(2018) Rahib H. Abiyev et al.   Journal of Healthcare Engineering

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

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

An overview of deep learning in medical imaging focusing on MRI

(2018) Alexander Selvikvåg Lundervold et al.   Zeitschrift fur Medizinische Physik

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

Jumping species—a mechanism for coronavirus persistence and survival

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Deep learning approach to bacterial colony classification

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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

The potential contribution of livestock to food and nutrition security: the application of the One Health approach in livestock policy and practice

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A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays

(2015) Jaime Melendez et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Preparing a collection of radiology examinations for distribution and retrieval

(2015) Dina Demner-Fushman et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

The Global One Health Paradigm: Challenges and Opportunities for Tackling Infectious Diseases at the Human, Animal, and Environment Interface in Low-Resource Settings

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