Transformers in medical imaging: A survey
Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …
successfully applied to several computer vision problems, achieving state-of-the-art results …
COVID-19 pneumonia: pathophysiology and management
L Gattinoni, S Gattarello, I Steinberg… - European …, 2021 - Eur Respiratory Soc
Coronavirus disease 2019 (COVID-19) pneumonia is an evolving disease. We will focus on
the development of its pathophysiologic characteristics over time, and how these time …
the development of its pathophysiologic characteristics over time, and how these time …
A deep transfer learning-based convolution neural network model for COVID-19 detection using computed tomography scan images for medical applications
ND Kathamuthu, S Subramaniam, QH Le… - … in Engineering Software, 2023 - Elsevier
Abstract The Coronavirus (COVID-19) has become a critical and extreme epidemic because
of its international dissemination. COVID-19 is the world's most serious health, economic …
of its international dissemination. COVID-19 is the world's most serious health, economic …
Current and emerging knowledge in COVID-19
COVID-19 has emerged as a pandemic leading to a global public health crisis of
unprecedented morbidity. A comprehensive insight into the imaging of COVID-19 has …
unprecedented morbidity. A comprehensive insight into the imaging of COVID-19 has …
Chest CT findings in hospitalized patients with SARS-CoV-2: Delta versus Omicron variants
SH Yoon, JH Lee, BN Kim - Radiology, 2023 - pubs.rsna.org
Background CT manifestations of SARS-CoV-2 may differ among variants. Purpose To
compare the chest CT findings of SARS-CoV-2 between the Delta and Omicron variants …
compare the chest CT findings of SARS-CoV-2 between the Delta and Omicron variants …
Reduction in chest CT severity and improved hospital outcomes in SARS-CoV-2 omicron compared with delta variant infection
MT Tsakok, RA Watson, SJ Saujani, M Kong, C Xie… - Radiology, 2023 - pubs.rsna.org
Background The SARS-Cov-2 Omicron variant demonstrates rapid spread but reduced
disease severity. Studies evaluating lung imaging findings of Omicron infection versus non …
disease severity. Studies evaluating lung imaging findings of Omicron infection versus non …
Post-discharge critical COVID-19 lung function related to severity of radiologic lung involvement at admission
L Truffaut, L Demey, AV Bruyneel, A Roman, S Alard… - Respiratory …, 2021 - Springer
Post-discharge critical COVID-19 lung function related to severity of radiologic lung involvement
at admission | Respiratory Research Skip to main content SpringerLink Log in Menu Find a …
at admission | Respiratory Research Skip to main content SpringerLink Log in Menu Find a …
Review and prospect: artificial intelligence in advanced medical imaging
Artificial intelligence (AI) as an emerging technology is gaining momentum in medical
imaging. Recently, deep learning-based AI techniques have been actively investigated in …
imaging. Recently, deep learning-based AI techniques have been actively investigated in …
Development strategies of conducting polymer-based electrochemical biosensors for virus biomarkers: Potential for rapid COVID-19 detection
Rapid, accurate, portable, and large-scale diagnostic technologies for the detection of
severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) are crucial for controlling …
severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) are crucial for controlling …
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 …