Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review

Z Ye, Y Zhang, Y Wang, Z Huang, B Song - European radiology, 2020 - Springer
Abstract Coronavirus disease 2019 (COVID-19) outbreak, first reported in Wuhan, China,
has rapidly swept around the world just within a month, causing global public health …

Epidemiology and clinical features of COVID-19: A review of current literature

JA Siordia Jr - Journal of Clinical Virology, 2020 - Elsevier
Coronavirus disease 2019 is a pandemic influencing the first half of the year 2020. The virus
has rapidly spread to many countries. Studies are rapidly published to share information …

CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images

E Hussain, M Hasan, MA Rahman, I Lee… - Chaos, Solitons & …, 2021 - Elsevier
Abstract Background and Objective The Coronavirus 2019, or shortly COVID-19, is a viral
disease that causes serious pneumonia and impacts our different body parts from mild to …

Automated detection of COVID-19 cases using deep neural networks with X-ray images

T Ozturk, M Talo, EA Yildirim, UB Baloglu… - Computers in biology …, 2020 - Elsevier
Abstract The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of
China in December 2019, spread rapidly around the world and became a pandemic. It has …

Frequency and distribution of chest radiographic findings in patients positive for COVID-19

HYF Wong, HYS Lam, AHT Fong, ST Leung, TWY Chin… - Radiology, 2020 - pubs.rsna.org
Background Current coronavirus disease 2019 (COVID-19) radiologic literature is
dominated by CT, and a detailed description of chest radiography appearances in relation to …

COVID-19 image data collection

JP Cohen, P Morrison, L Dao - arXiv preprint arXiv:2003.11597, 2020 - arxiv.org
COVID-19 Image Data Collection Page 1 COVID-19 Image Data Collection Joseph Paul Cohen
1 2 Paul Morrison 3 Lan Dao 4 Abstract This paper describes the initial COVID-19 open image …

Deep learning COVID-19 features on CXR using limited training data sets

Y Oh, S Park, JC Ye - IEEE transactions on medical imaging, 2020 - ieeexplore.ieee.org
Under the global pandemic of COVID-19, the use of artificial intelligence to analyze chest X-
ray (CXR) image for COVID-19 diagnosis and patient triage is becoming important …

Covid-19 image data collection: Prospective predictions are the future

JP Cohen, P Morrison, L Dao, K Roth… - arXiv preprint arXiv …, 2020 - arxiv.org
Across the world's coronavirus disease 2019 (COVID-19) hot spots, the need to streamline
patient diagnosis and management has become more pressing than ever. As one of the …

Diagnostic performance of CT and reverse transcriptase polymerase chain reaction for coronavirus disease 2019: a meta-analysis

H Kim, H Hong, SH Yoon - Radiology, 2020 - pubs.rsna.org
Background Recent studies have suggested that chest CT scans could be used as a primary
screening or diagnostic tool for coronavirus disease 2019 (COVID-19) in epidemic areas …

[HTML][HTML] Physiotherapy management for COVID-19 in the acute hospital setting: clinical practice recommendations

P Thomas, C Baldwin, B Bissett, I Boden… - Journal of …, 2020 - Elsevier
This document outlines recommendations for physiotherapy management for COVID-19 in
the acute hospital setting. It includes: recommendations for physiotherapy workforce …