K. Dwivedi

发表

Cardiac Magnetic Resonance in Pulmonary Hypertension—an Update

S. Alabed, J. Wild, A. Swift, 2020, Current Cardiovascular Imaging Reports.

Right Ventricular Adaptation Assessed Using Cardiac Magnetic Resonance Predicts Survival in Pulmonary Arterial Hypertension

S. Alabed, J. Wild, A. Swift, 2020, JACC. Cardiovascular imaging.

Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements

S. Plein, S. Alabed, R. J. van der Geest, 2022, Journal of Cardiovascular Magnetic Resonance.

Imaging and Risk Stratification in Pulmonary Arterial Hypertension: Time to Include Right Ventricular Assessment

S. Alabed, J. Wild, A. Swift, 2022, Frontiers in Cardiovascular Medicine.

Diagnostic accuracy of CT pulmonary angiography in suspected pulmonary hypertension

J. Wild, A. Swift, D. Capener, 2020, European Radiology.

Severe pulmonary hypertension associated with lung disease is characterised by a loss of small pulmonary vessels on quantitative computed tomography

J. Tschirren, S. Alabed, J. Wild, 2022, ERJ Open Research.

Right ventricular remodelling in pulmonary arterial hypertension predicts treatment response

S. Alabed, J. Wild, A. Swift, 2022, Heart.

Validation of Artificial Intelligence Cardiac MRI Measurements: Relationship to Heart Catheterization and Mortality Prediction

D. O’Regan, S. Alabed, R. J. van der Geest, 2022, Radiology.

Quality of reporting in AI cardiac MRI segmentation studies – A systematic review and recommendations for future studies

D. O’Regan, S. Alabed, R. J. van der Geest, 2022, Frontiers in Cardiovascular Medicine.

Computed tomography lung parenchymal descriptions in routine radiological reporting have diagnostic and prognostic utility in patients with idiopathic pulmonary arterial hypertension and pulmonary hypertension associated with lung disease

Robert A. Lewis, S. Alabed, J. Wild, 2022, ERJ Open Research.

Phenotyping of idiopathic pulmonary arterial hypertension: a registry analysis

Robert A. Lewis, S. Rosenkranz, H. Ghofrani, 2022, The Lancet. Respiratory medicine.

Unenhanced computed tomography as a diagnostic tool in suspected pulmonary hypertension: a retrospective cross-sectional pilot study

A. Swift, D. Kiely, S. Rajaram, 2021, Wellcome Open Research.

Fully automatic cardiac four chamber and great vessel segmentation on CT pulmonary angiography using deep learning

D. O’Regan, S. Alabed, R. J. van der Geest, 2022, Frontiers in Cardiovascular Medicine.

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.

Pulmonary Hypertension in Association with Lung Disease: Quantitative CT and Artificial Intelligence to the Rescue? State-of-the-Art Review

E. Hoffman, S. Alabed, J. Wild, 2021, Diagnostics.

Machine learning cardiac-MRI features predict mortality in newly diagnosed pulmonary arterial hypertension

S. Alabed, R. J. van der Geest, J. Wild, 2022, European heart journal. Digital health.

Validation of Artificial Intelligence Cardiac MRI Measurements: Relationship to Heart Catheterization and Mortality Prediction.

D. O’Regan, S. Alabed, R. J. van der Geest, 2022, Radiology.

Non-invasive detection of severe PH in lung disease using magnetic resonance imaging

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

Deep learning automated quantification of lung disease in pulmonary hypertension on CT pulmonary angiography: A preliminary clinical study with external validation

S. Alabed, A. Swift, K. Dwivedi, 2023, ArXiv.

Remote evaluation of risk and physiological response to therapeutic escalation and clinical worsening in patients with pulmonary hypertension

J. Wason, P. Morris, J. Hurdman, 2023, medRxiv.

Clinical assessment of an AI tool for measuring biventricular parameters on cardiac MR

S. Alabed, D. Capener, K. Karunasaagarar, 2024, Frontiers in cardiovascular medicine.

The reproducibility of manual RV/LV ratio measurement on CT pulmonary angiography

S. Matthews, S. Alabed, A. Swift, 2022, BJR open.

Improving Prognostication in Pulmonary Hypertension Using AI-quantified Fibrosis and Radiologic Severity Scoring at Baseline CT.

S. Alabed, D. Kiely, S. Rajaram, 2024, Radiology.

A transparent artificial intelligence framework to assess lung disease in pulmonary hypertension

S. Alabed, A. Swift, D. Kiely, 2023, Scientific Reports.

Evaluating the performance of artificial intelligence software for lung nodule detection on chest radiographs in a retrospective real-world UK population

S. Alabed, K. Dwivedi, M. Sharkey, 2023, BMJ open.