Area of research
Pulmonary and Respiratory Medicine · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Chronic Obstructive Pulmonary Disease (COPD) Research, Lung Cancer Diagnosis and Treatment, COVID-19 diagnosis using AI, and Atomic and Subatomic Physics Research.
Deep Learning Estimation of Small Airway Disease from Inspiratory Chest Computed Tomography: Clinical Validation, Repeatability, and Associations with Adverse Clinical Outcomes in Chronic Obstructive Pulmonary Disease
Association of Lung Quantitative CT Scan Textures With Systemic Inflammation and Mortality in COPD
Seeing is believing—on the utility of CT in phenotyping chronic obstructive pulmonary disease
Imaging Endpoints for Biologic Therapy in Chronic Obstructive Pulmonary Disease
Association of Ground-Glass Opacities with Systemic Inflammation and Progression of Emphysema
Computed Tomography Radiomics Features Predict Change in Lung Density and Rate of Emphysema Progression
Radiomics for Improved Detection of Chronic Obstructive Pulmonary Disease in Low-Dose and Standard-Dose Chest CT Scans
Predicting severe chronic obstructive pulmonary disease exacerbations using quantitative CT: a retrospective model development and external validation study
Deep Residual Convolutional Network Predicts Future Severe Exacerbations of COPD in SPIROMICS