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Publications

Contrast echocardiography: a practical guideline from the British Society of Echocardiography.

Hampson R. et al, (2023), Echo Res Pract, 10

Cardiac Remodeling After Hypertensive Pregnancy Following Physician-Optimized Blood Pressure Self-Management: The POP-HT Randomized Clinical Trial Imaging Sub-study.

Kitt J. et al, (2023), Circulation

Long-Term Blood Pressure Control After Hypertensive Pregnancy Following Physician-Optimized Self-Management: The POP-HT Randomized Clinical Trial.

Kitt J. et al, (2023), JAMA

Artificial intelligence and innovation of clinical care: the need for evidence in the real world.

Fletcher AJ. et al, (2023), Eur Heart J

A machine learning-based score for precise echocardiographic assessment of cardiac remodelling in hypertensive young adults.

Alsharqi M. et al, (2023), Eur Heart J Imaging Methods Pract, 1

Association between subclinical atherosclerosis and cardiac structure and function-results from the UK Biobank Study.

Simon J. et al, (2023), Eur Heart J Imaging Methods Pract, 1

Temporal Patterns of Pre- and Post-Natal Target Organ Damage Associated Wih Hypertensive Pregnancy: A Systematic Review.

Cutler HR. et al, (2023), Eur J Prev Cardiol

Modelling Relations Between Blood Pressure, Cardiovascular Phenotype and Clinical Factors Using Large Scale Imaging Data.

Kart T. et al, (2023), European Heart Journal - Cardiovascular Imaging

Automated Detection of Apical Foreshortening in Echocardiography Using Statistical Shape Modelling.

Kim W-JC. et al, (2023), Ultrasound Med Biol

The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare.

Alkhodari M. et al, (2023), Expert Rev Cardiovasc Ther

Real world hospital costs following stress echocardiography in the UK: a costing study from the EVAREST/BSE-NSTEP multi-entre study.

Johnson CL. et al, (2023), Echo Res Pract, 10

PROTEUS Study: A Prospective Randomized Controlled Trial Evaluating the Use of Artificial Intelligence in Stress Echocardiography.

Woodward G. et al, (2023), Am Heart J, 263, 123 - 132

Cardiovascular disease risk assessment using a deep-learning-based retinal biomarker: a comparison with existing risk scores.

Yi JK. et al, (2023), Eur Heart J Digit Health, 4, 236 - 244

Lower birth weight is linked to poorer cardiovascular health in middle-aged population-based adults.

Raisi-Estabragh Z. et al, (2023), Heart, 109, 535 - 541

Aerobic exercise increases brain vessel lumen size and blood flow in young adults with elevated blood pressure. Secondary analysis of the TEPHRA randomized clinical trial.

Lapidaire W. et al, (2023), Neuroimage Clin, 37

Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank.

Tseng RMWW. et al, (2023), BMC Med, 21

Cardiometabolic and Renal DOHaD Outcomes in Offspring of Complicated Pregnancy

Giussani DA. et al, (2023), DEVELOPMENTAL ORIGINS OF HEALTH AND DISEASE, 2 EDITION, 85 - 99

COMPARISON OF CLINICAL ALGORITHMS AND ARTIFICIAL INTELLIGENCE APPLIED TO AN ECHOCARDIOGRAM TO CATEGORIZE RISK OF HEART FAILURE WITH PRESERVED EJECTION FRACTION (HFPEF)

Akerman A. et al, (2023), JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 81, 360 - 360

Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis

Reynaud H. et al, (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14229 LNCS, 142 - 152

Aerobic Exercise Training Response in Preterm-Born Young Adults with Elevated Blood Pressure and Stage 1 Hypertension: A Randomised Controlled Trial.

Burchert H. et al, (2022), Am J Respir Crit Care Med

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