QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications
Authors
Keywords
COVID-19, Quantitative imaging, Artificial intelligence, Computed tomography
Journal
CLINICAL IMAGING
Volume 77, Issue -, Pages 151-157
Publisher
Elsevier BV
Online
2021-02-26
DOI
10.1016/j.clinimag.2021.02.017
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Invited Commentary on “Quantitative CT Analysis of Diffuse Lung Disease”
- (2020) Sean B. Fain et al. RADIOGRAPHICS
- Preparing Medical Imaging Data for Machine Learning
- (2020) Martin J. Willemink et al. RADIOLOGY
- A British Society of Thoracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic
- (2020) A. Nair et al. CLINICAL RADIOLOGY
- COVID-19 patients and the radiology department – advice from the European Society of Radiology (ESR) and the European Society of Thoracic Imaging (ESTI)
- (2020) Marie-Pierre Revel et al. EUROPEAN RADIOLOGY
- Deep Learning Localization of Pneumonia
- (2020) Brian Hurt et al. JOURNAL OF THORACIC IMAGING
- Diagnostic Performance of Chest X-Ray for COVID-19 Pneumonia During the SARS-CoV-2 Pandemic in Lombardy, Italy
- (2020) Simone Schiaffino et al. JOURNAL OF THORACIC IMAGING
- The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society
- (2020) Geoffrey D. Rubin et al. RADIOLOGY
- Chest CT Features of COVID-19 in Rome, Italy
- (2020) Damiano Caruso et al. RADIOLOGY
- Imaging of coronavirus disease 2019: A Chinese expert consensus statement
- (2020) Qi Yang et al. EUROPEAN JOURNAL OF RADIOLOGY
- A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia
- (2020) Xiaowei Xu et al. Engineering
- The effects of iterative reconstruction and kernel selection on quantitative computed tomography measures of lung density
- (2017) Alfonso Rodriguez et al. MEDICAL PHYSICS
- Comparison of low- and ultralow-dose computed tomography protocols for quantitative lung and airway assessment
- (2017) Emily Hammond et al. MEDICAL PHYSICS
- Quality assurance and quantitative imaging biomarkers in low-dose CT lung cancer screening
- (2017) Chara E Rydzak et al. BRITISH JOURNAL OF RADIOLOGY
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Role of the Quantitative Imaging Biomarker Alliance in Optimizing CT for the Evaluation of Lung Cancer Screen–Detected Nodules
- (2015) James L. Mulshine et al. Journal of the American College of Radiology
- Paired inspiratory-expiratory chest CT scans to assess for small airways disease in COPD
- (2013) Craig P Hersh et al. RESPIRATORY RESEARCH
- Computed tomography–based biomarker provides unique signature for diagnosis of COPD phenotypes and disease progression
- (2012) Craig J Galbán et al. NATURE MEDICINE
- Contrast enhanced CT-scans are not comparable to non-enhanced scans in emphysema quantification
- (2009) C.P. Heussel et al. EUROPEAN JOURNAL OF RADIOLOGY
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started