Publications

SAGCNet: Spatial-Aware Graph Completion Network for Missing Slice Imputation in Population CMR Imaging

Liu J. et al, (2026), 15967 LNCS, 457 - 466

RefineSeg: Dual Coarse-to-Fine Learning for Medical Image Segmentation

Du A. et al, (2026), 15975 LNCS, 460 - 469

Prospective electrocardiographic and cardiovascular magnetic resonance alterations in the UK Biobank coronavirus disease 2019 repeat imaging study.

Chadalavada S. et al, (2025), Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 27

Generalist deep learning for cross-modality landmark annotation in cardiovascular magnetic resonance

Gonzales RA. et al, (2025)

Baseline serum ferritin predicts myocardial iron uptake following intravenous iron therapy - a hypothesis-generating study.

Nunez J. et al, (2025), Eur J Heart Fail, 27, 2352 - 2356

Myocardial Entropy and Risk Predictors in Hypertrophic Cardiomyopathy: An Analysis From the NHLBI HCM Registry.

Antiochos P. et al, (2025), Circ Cardiovasc Imaging, 18

Relationship between left ventricular shape and cardiovascular risk factors: comparison between the Multi-Ethnic Study of Atherosclerosis and UK Biobank.

Suinesiaputra A. et al, (2025), Heart, 111, 1067 - 1074

Exploring the impact of metabolic comorbidities on epicardial adipose tissue in heart failure with preserved ejection fraction.

Menghoum N. et al, (2025), Cardiovasc Diabetol, 24

Myocardial ischaemia following COVID-19: a cardiovascular magnetic resonance study.

Arnold JR. et al, (2025), Int J Cardiovasc Imaging, 41, 247 - 256

Exploring cardiovascular involvement in IgG4-related disease: a case series approach with cardiovascular magnetic resonance.

Henry JA. et al, (2025), Heart, 111, 133 - 140

Myocardial iron intake following intravenous iron therapy with ferric carboxymaltose is sustained at 1 year despite recurrence of iron deficiency.

Piechnik SK. et al, (2025), Br J Haematol, 206, 349 - 352

Long term health outcomes in people with diabetes 12 months after hospitalisation with COVID-19 in the UK: a prospective cohort study.

Gharibzadeh S. et al, (2025), EClinicalMedicine, 79

Effects of software on myocardial T1 measurements: A 3 T multicentre single vendor phantom study

Atkinson D. et al, (2025), Journal of Cardiovascular Magnetic Resonance, 27, 101653 - 101653

dT1 maps: A novel approach for visualising myocardial stress without gadolinium-based contrast agents

Gonzales RA. et al, (2025), Journal of Cardiovascular Magnetic Resonance, 27, 101483 - 101483

Protein Biomarkers of Adverse Clinical Features and Events in Sarcomeric Hypertrophic Cardiomyopathy.

Tahir UA. et al, (2024), Circ Heart Fail, 17

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