Related Experiment Video
Updated: Mar 25, 2026

08:05
Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
14.9K
Imaging biomarkers of post-COVID dyspnea: insights from machine learning CT patterns and parametric response mapping
Julien G Cohen1,2, Vicente Estopier-Castillo2, Cécile Olivier2
1University Hospitals of Geneva, Geneva, Switzerland.
Respiratory Research
|March 24, 2026
Abstract
No abstract available in PubMed .
Keywords:
COVID-19CT parametric response mappingdyspneamachine learningquantitative CT analysissmall airway disease
