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COVID-19-related pleural diseases
Coronavirus disease 2019 (COVID-19)-related pleural diseases are now well recognized.
Since the beginning of the pandemic, increasing cases of pleural diseases including …
Since the beginning of the pandemic, increasing cases of pleural diseases including …
[HTML][HTML] A pictorial essay describing the CT imaging features of COVID-19 cases throughout the pandemic with a special focus on lung manifestations and …
B Brogna, E Bignardi, A Megliola, A Laporta… - Biomedicines, 2023 - mdpi.com
With the Omicron wave, SARS-CoV-2 infections improved, with less lung involvement and
few cases of severe manifestations. In this pictorial review, there is a summary of the …
few cases of severe manifestations. In this pictorial review, there is a summary of the …
[HTML][HTML] Computed tomographic imaging features of COVID-19 pneumonia caused by the delta (B. 1.617. 2) and omicron (B. 1.1. 529) variant in a German nested …
E Askani, K Mueller-Peltzer, J Madrid, M Knoke… - Tomography, 2022 - mdpi.com
Background: The aim of this study was to evaluate CT (computed tomography) imaging
differences for the Delta and the Omicron variant in COVID-19 infection. Methods: The study …
differences for the Delta and the Omicron variant in COVID-19 infection. Methods: The study …
A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative
L Topff, J Sánchez-García, R López-González… - Plos one, 2023 - journals.plos.org
Background Recently, artificial intelligence (AI)-based applications for chest imaging have
emerged as potential tools to assist clinicians in the diagnosis and management of patients …
emerged as potential tools to assist clinicians in the diagnosis and management of patients …
Impact of COVID-19 pandemic on the workload of diagnostic radiology: a 2-year observational study in a tertiary referral hospital
F Rizzetto, G Gnocchi, F Travaglini, G Di Rocco… - Academic …, 2023 - Elsevier
Rationale and Objectives To evaluate the impact of COVID-19 pandemic on diagnostic
imaging workload in a tertiary referral hospital. Materials and Methods Radiological …
imaging workload in a tertiary referral hospital. Materials and Methods Radiological …
Deep learning attention-guided radiomics for COVID-19 chest radiograph classification
Background Accurate assessment of coronavirus disease 2019 (COVID-19) lung
involvement through chest radiograph plays an important role in effective management of …
involvement through chest radiograph plays an important role in effective management of …
[HTML][HTML] Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week
Data-driven approaches have achieved great success in various medical image analysis
tasks. However, fully-supervised data-driven approaches require unprecedentedly large …
tasks. However, fully-supervised data-driven approaches require unprecedentedly large …
Efficient feature extraction for image analysis through adaptive caching in vector databases
For popular machine learning (ML) models like MobileNetV3 and ResNet, the extraction and
storage of image features serve as a critical step for both the training and inference stages …
storage of image features serve as a critical step for both the training and inference stages …
Machine learning and deep learning covid-19 diagnosis system: key achievements, lessons learned, and a transfer learning algorithm
The COVID-19 pandemic is a novel, fast-spreading, deadly virus. It has spread around the
world in an extremely short time. Due to its rapid spread and negative effects on all aspects …
world in an extremely short time. Due to its rapid spread and negative effects on all aspects …
Radiation Overuse in Intensive Care Units
Radiological imaging is essential for acute patient management in Intensive Care Units
(ICUs); however, it introduces the risk of exposure to ionizing radiation. This review …
(ICUs); however, it introduces the risk of exposure to ionizing radiation. This review …