A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images

Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels

(2021) Hieu H. Pham et al.   NEUROCOMPUTING

A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster

(2020) Jasper Fuk-Woo Chan et al.   LANCET

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

(2020) Chaolin Huang et al.   LANCET

International evaluation of an AI system for breast cancer screening

(2020) Scott Mayer McKinney et al.   NATURE

A pneumonia outbreak associated with a new coronavirus of probable bat origin

(2020) Peng Zhou et al.   NATURE

Clinical Characteristics of Coronavirus Disease 2019 in China

(2020) Wei-jie Guan et al.   NEW ENGLAND JOURNAL OF MEDICINE

Preparing Medical Imaging Data for Machine Learning

(2020) Martin J. Willemink et al.   RADIOLOGY

Wuhan seafood market may not be source of novel virus spreading globally

(2020) Jon Cohen   SCIENCE

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

(2020) Kang Zhang et al.   CELL

Use of Chest Imaging in the Diagnosis and Management of COVID-19: A WHO Rapid Advice Guide

(2020) Elie A. Akl et al.   RADIOLOGY

Identifying pneumonia in chest X-rays: A deep learning approach

(2019) Amit Kumar Jaiswal et al.   MEASUREMENT

MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

(2019) Alistair E. W. Johnson et al.   Scientific Data

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

(2018) Daniel S. Kermany et al.   CELL

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Computer-aided detection in chest radiography based on artificial intelligence: a survey

(2018) Chunli Qin et al.   Biomedical Engineering Online

Automated deep-neural-network surveillance of cranial images for acute neurologic events

(2018) Joseph J. Titano et al.   NATURE MEDICINE

A call for deep-learning healthcare

(2018) Beau Norgeot et al.   NATURE MEDICINE

A guide to deep learning in healthcare

(2018) Andre Esteva et al.   NATURE MEDICINE

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks

(2017) Jun Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Radiomics: Extracting more information from medical images using advanced feature analysis

(2012) Philippe Lambin et al.   EUROPEAN JOURNAL OF CANCER