Publications — Radcliffe Department of Medicine

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Intravenous iron therapy results in rapid and sustained rise in myocardial iron content through a novel pathway.

Vera-Aviles M. et al, (2024), Eur Heart J

Cardiovascular Magnetic Resonance Before Invasive Coronary Angiography in Suspected Non-ST-Segment Elevation Myocardial Infarction.

Shanmuganathan M. et al, (2024), JACC Cardiovasc Imaging

Deep learning for automated insertion point annotation of CMR T1 maps

Gonzales RA. et al, (2024)

Automated CMR index of left ventricular diastolic function post-acute myocardial infarction provides independent and incremental prediction of long-term prognosis when added to conventional indices

Shanmuganathan M. et al, (2024)

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

Kitt J. et al, (2024), Circulation, 149, 529 - 541

Gadolinium-free Virtual Native Enhancement for chronic myocardial infarction assessment: independent blinded validation and reproducibility between two centres

THOMPSON P. et al, (2023), Global CMR 2024 Scientific Sessions

Quality control-driven framework for reliable automated segmentation of cardiac magnetic resonance LGE and VNE images

Gonzales RA. et al, (2023)

Misclassification of Females and Males in Cardiovascular Magnetic Resonance Parametric Mapping - The Importance of Sex-Specific Normal Ranges for Diagnosis of Health versus Disease.

Thomas KE. et al, (2023), Eur Heart J Cardiovasc Imaging

Histopathologic Validation of Stress T1 Mapping in Myocardial Ischemia: Another Step toward Clinical Translation?

Burrage MK. and Ferreira VM., (2023), Radiol Cardiothorac Imaging, 5

Myocardial Involvement After Hospitalization for COVID-19 Complicated by Troponin Elevation: A Prospective, Multicenter, Observational Study.

Artico J. et al, (2023), Circulation, 147, 364 - 374

Imaging Methods: Magnetic Resonance Imaging

Thomas KE. et al, (2023), Circulation: Cardiovascular Imaging, 16

Artificial Intelligence for Contrast-Free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning-Based Virtual Native Enhancement.

Zhang Q. et al, (2022), Circulation, 146, 1492 - 1503

Neutrophils incite and macrophages avert electrical storm after myocardial infarction.

Grune J. et al, (2022), Nat Cardiovasc Res, 1, 649 - 664

Energetic Basis for Exercise-Induced Pulmonary Congestion in Heart Failure With Preserved Ejection Fraction.

Burrage MK. et al, (2021), Circulation, 144, 1664 - 1678

Coronary Microvascular Dysfunction Assessed by Pressure Wire and CMR After STEMI Predicts Long-Term Outcomes.

Scarsini R. et al, (2021), JACC Cardiovasc Imaging, 14, 1948 - 1959

Toward Replacing Late Gadolinium Enhancement With Artificial Intelligence Virtual Native Enhancement for Gadolinium-Free Cardiovascular Magnetic Resonance Tissue Characterization in Hypertrophic Cardiomyopathy.

Zhang Q. et al, (2021), Circulation, 144, 589 - 599

Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping.

Hann E. et al, (2021), Med Image Anal, 71

The Health Economics of Ischemia With Nonobstructive Coronary Arteries.

Ferreira VM. and Berry C., (2021), JACC Cardiovasc Imaging, 14, 1380 - 1383

Cardiac stress T1-mapping response and extracellular volume stability of MOLLI-based T1-mapping methods.

Burrage MK. et al, (2021), Sci Rep, 11

Cardiovascular magnetic resonance stress and rest T1-mapping using regadenoson for detection of ischemic heart disease compared to healthy controls.

Burrage MK. et al, (2021), Int J Cardiol, 333, 239 - 245

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