Source: Virtual Congress 2021 – Novel imaging analysis methodologies in diffuse lung diseases



Rating:

Share or cite this content

Citations should be made in the following way:
C. Biebaû (Leuven, Belgium), A. Dubbeldam (Leuven, Belgium), L. Cockmartin (Leuven, Belgium), W. Coudyzer (Leuven, Belgium), J. Coolen (Leuven, Belgium), J. Verschakelen (Leuven, Belgium), W. De Wever (Leuven, Belgium). A retrospective study comparing a quantifying Artificial Intelligence-based scoring system with a visual scoring system to determine the lung injury in COVID-19 disease.. 360

Member's Comments

No comment yet.

Related content which might interest you: A multidimensional grading system to predict outcome in COPD patients Source: ISSN=ISSN 1810-6838, ISBN=, page=152 Year: 2004 A simplified physiological scoring system for predicting severity in community acquired pneumonia – an international derivation and validation study Source: Annual Congress 2009 - Assessment of severity in respiratory infections: severity scales and biomarkers Year: 2009 Comparison of scoring systems use for estimation of severity of community acquired pneumonia Source: Annual Congress 2012 - Management of pneumonia due to hospital pathogens Year: 2012 Visual analogue scores for interstitial lung disease: a prospective validation study Source: International Congress 2017 – Lung function testing in different patient categories Year: 2017 Multicenter study on the variability of the sleep stage scoring algorithm ARTISANA compared to human experts – Part II: validation phase Source: Eur Respir J 2005; 26: Suppl. 49, 114s Year: 2005 Prospective evaluation of asthma control using three different classification systems Source: Annual Congress 2011 - Clinical parameters in airway diseases Year: 2011 Comparison of two different methods for assessing inspiratory muscle strength in patients with multiple system atrophy: a pilot study Source: Virtual Congress 2020 – A knowledge update on respiratory muscle function, assessment and training Year: 2020 Validity of an automated telephonic system to assess exacerbation rates in prospective clinical COPD studies Source: Annual Congress 2011 - Phenotyping and monitoring of airway diseases Year: 2011 Multicenter study on the variability of a novel sleep stage scoring algorithm compared to human experts – part I: learning phase Source: Eur Respir J 2004; 24: Suppl. 48, 117s Year: 2004 Development and pilot evaluation of a quality grading system for paediatric spirometry Source: International Congress 2018 – Quality, reference values and standards Year: 2018 A novel image based method for the evaluation of regional changes in lung mechanics Source: Annual Congress 2008 - New imaging techniques in chest imaging Year: 2008 Reproducibility of 3He-MRI acquisition assessed by a deep learning approach: ventilation defects in the VaPE-Tox pilot study Source: Virtual Congress 2020 – Imaging-based phenotyping in pulmonary disease Year: 2020 Endospirometry – development of a device to objectify vocal cord dysfunction and proposal for a classification system Source: Eur Respir J 2006; 28: Suppl. 50, 793s Year: 2006 Comparison of measuring systems used to evaluate input respiratory impedance by forced oscillation technique - pilot study Source: Eur Respir J 2002; 20: Suppl. 38, 32s Year: 2002 Feasibility of measuring lung function with the forced oscillation technique in an epidemiological study. Source: International Congress 2017 – Insight into childhood asthma and paediatric pulmonology Year: 2017 FDG-microPET imaging to comfirm brain death in a mouse model: A useful tool to study related donor lung injury Source: Annual Congress 2010 - New clinical and experimental insights in lung transplantation Year: 2010 A basic prediction model with clinical parameters to diagnose lung cancer. Source: Virtual Congress 2021 – Screening, diagnosis, management and prognosis of lung cancer Year: 2021 Quantification of lung fibrosis: visual score vs simple computer-based methods Source: Eur Respir J 2005; 26: Suppl. 49, 31s Year: 2005 Assessment of the probability of lung cancer diagnosis using authorial predictive scale. Pilot study. Source: International Congress 2017 – Clinical problems in lung diseases Year: 2017 Automatic lung sound analysis accuracy: a validation study Source: Virtual Congress 2021 – Digital health interventions in respiratory medicine Year: 2021