Publications — Radcliffe Department of Medicine

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

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

Acute Response in the Noninfarcted Myocardium Predicts Long-Term Major Adverse Cardiac Events After STEMI.

Shanmuganathan M. et al, (2023), JACC Cardiovasc Imaging, 16, 46 - 59

Mitral Annular Disjunction Assessed Using CMR Imaging: Insights From the UK Biobank Population Study.

Zugwitz D. et al, (2022), JACC Cardiovasc Imaging

Artificial Intelligence for Contrast-free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning-based Virtual Native Enhancement (VNE).

Zhang Q. et al, (2022), Circulation

Genome-wide association analysis reveals insights into the genetic architecture of right ventricular structure and function.

Aung N. et al, (2022), Nat Genet, 54, 783 - 791

Improving robustness of automatic cardiac function quantification from cine magnetic resonance imaging using synthetic image data.

Gheorghiță BA. et al, (2022), Sci Rep, 12

Light to moderate coffee consumption is associated with lower risk of death: a UK Biobank study.

Simon J. et al, (2022), Eur J Prev Cardiol

Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study

Ng M. et al, (2022), IEEE Transactions on Biomedical Engineering

Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-Based Segmentation.

Puyol-Antón E. et al, (2022), Front Cardiovasc Med, 9

Predictors of Major Atrial Fibrillation Endpoints in the National Heart, Lung, and Blood Institute HCMR.

Kramer CM. et al, (2021), JACC Clin Electrophysiol, 7, 1376 - 1386

Endogenous T1ρ cardiovascular magnetic resonance in hypertrophic cardiomyopathy.

Thompson EW. et al, (2021), J Cardiovasc Magn Reson, 23

Symptom Persistence Despite Improvement in Cardiopulmonary Health - Insights from longitudinal CMR, CPET and lung function testing post-COVID-19.

Cassar MP. et al, (2021), EClinicalMedicine

Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds.

Chen X. et al, (2021), Med Image Anal, 74

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

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

Subclinical Changes in Cardiac Functional Parameters as Determined by Cardiovascular Magnetic Resonance (CMR) Imaging in Sleep Apnea and Snoring: Findings from UK Biobank.

Curta A. et al, (2021), Medicina (Kaunas), 57

Quality assurance of quantitative cardiac T1-mapping in multicenter clinical trials - A T1 phantom program from the hypertrophic cardiomyopathy registry (HCMR) study.

Zhang Q. et al, (2021), Int J Cardiol, 330, 251 - 258

Adverse cardiovascular magnetic resonance phenotypes are associated with greater likelihood of incident coronavirus disease 2019: findings from the UK Biobank.

Raisi-Estabragh Z. et al, (2021), Aging Clin Exp Res, 33, 1133 - 1144

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