M. Cogliano

Bayesian Inference Associates Rare KDR Variants With Specific Phenotypes in Pulmonary Arterial Hypertension

W. Chung, Yufeng Shen, M. Humbert, 2019, bioRxiv.

Bayesian Inference Associates Rare KDR Variants With Specific Phenotypes in Pulmonary Arterial Hypertension

W. Chung, Yufeng Shen, M. Humbert, 2019, bioRxiv.

Reduced transfer coefficient of carbon monoxide in pulmonary arterial hypertension implicates rare protein-truncating variants in KDR

Yufeng Shen, K. Megy, S. Gräf, 2019 .

A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosis

S. Alabed, J. Wild, A. Swift, 2020, European heart journal cardiovascular Imaging.

Repeatability and sensitivity to change of non-invasive end points in PAH: the RESPIRE study

S. Alabed, J. Wild, A. Swift, 2021, Thorax.

Repeatability and Sensitivity to change of right ventricular analysis methods using cardiac magnetic resonance imaging in PAH: results from the RESPIRE Study

J. Wild, A. Swift, D. Kiely, 2019, Imaging.

Semi-automatic thresholding of RV trabeculation improves repeatability and diagnostic value in suspected pulmonary hypertension

S. Alabed, J. Wild, A. Swift, 2023, Frontiers in Cardiovascular Medicine.

Identification of Cardiac Magnetic Resonance Imaging Thresholds for Risk Stratification in Pulmonary Arterial Hypertension

Robert A. Lewis, J. Wild, A. Swift, 2020, American journal of respiratory and critical care medicine.