Role of computed tomography in COVID-19
G Pontone, S Scafuri, ME Mancini, C Agalbato… - Journal of …, 2021 - Elsevier
Abstract Coronavirus disease 2019 (COVID-19) has become a rapid worldwide pandemic.
While COVID-19 primarily manifests as an interstitial pneumonia and severe acute …
While COVID-19 primarily manifests as an interstitial pneumonia and severe acute …
COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A …
Artificial intelligence (AI) has penetrated the field of medicine, particularly the field of
radiology. Since its emergence, the highly virulent coronavirus disease 2019 (COVID-19) …
radiology. Since its emergence, the highly virulent coronavirus disease 2019 (COVID-19) …
DL-CRC: deep learning-based chest radiograph classification for COVID-19 detection: a novel approach
With the exponentially growing COVID-19 (coronavirus disease 2019) pandemic, clinicians
continue to seek accurate and rapid diagnosis methods in addition to virus and antibody …
continue to seek accurate and rapid diagnosis methods in addition to virus and antibody …
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans
Abstract Coronavirus Disease 2019 (COVID-19) is a deadly infection that affects the
respiratory organs in humans as well as animals. By 2020, this disease turned out to be a …
respiratory organs in humans as well as animals. By 2020, this disease turned out to be a …
Frailty and mortality in hospitalized older adults with COVID-19: retrospective observational study
R De Smet, B Mellaerts, H Vandewinckele… - Journal of the American …, 2020 - Elsevier
Objectives To determine the association between frailty and short-term mortality in older
adults hospitalized for coronavirus disease 2019 (COVID-19). Design Retrospective single …
adults hospitalized for coronavirus disease 2019 (COVID-19). Design Retrospective single …
Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network
Objectives The current study aimed to design an ultra-low-dose CT examination protocol
using a deep learning approach suitable for clinical diagnosis of COVID-19 patients …
using a deep learning approach suitable for clinical diagnosis of COVID-19 patients …
Chest CT features of the novel coronavirus disease (COVID-19)
A new type of coronavirus (2019-nCoV) is rapidly spreading worldwide and causes
pneumonia, respiratory distress, thromboembolic events, and death. Chest computed …
pneumonia, respiratory distress, thromboembolic events, and death. Chest computed …
The usefulness of chest CT imaging in patients with suspected or diagnosed COVID-19: a review of literature
S Machnicki, D Patel, A Singh, A Talwar, B Mina, M Oks… - Chest, 2021 - Elsevier
The COVID-19 pandemic has had devastating medical and economic consequences
globally. The severity of COVID-19 is related, in a large measure, to the extent of pulmonary …
globally. The severity of COVID-19 is related, in a large measure, to the extent of pulmonary …
Joint learning of 3D lesion segmentation and classification for explainable COVID-19 diagnosis
Given the outbreak of COVID-19 pandemic and the shortage of medical resource, extensive
deep learning models have been proposed for automatic COVID-19 diagnosis, based on 3D …
deep learning models have been proposed for automatic COVID-19 diagnosis, based on 3D …
COVID-19 pneumonia imaging follow-up: when and how? A proposition from ESTI and ESR
K Martini, AR Larici, MP Revel, B Ghaye… - European …, 2021 - Springer
This document from the European Society of Thoracic Imaging (ESTI) and the European
Society of Radiology (ESR) discusses the role of imaging in the long-term follow-up of …
Society of Radiology (ESR) discusses the role of imaging in the long-term follow-up of …