Bram Ruijsink

St Thomas' Hospital — United Kingdom

Medicine · Health Sciences

21h-index1.3kcitations129works1.22yr avg
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Research Topics

Cardiovascular Function and Risk Factors(48), Cardiac Imaging and Diagnostics(47), Advanced MRI Techniques and Applications(29), Cardiac Valve Diseases and Treatments(22), Radiomics and Machine Learning in Medical Imaging(20)

Publications129 total

A streamlined CMR-derived machine-learning model for estimating cardiovascular biological age: development and validation in the UK-biobank and multi-ethnic study of atherosclerosis
European Heart Journal - Cardiovascular Imaging·2025· 1 citedOpen Access
Left ventricular geometry, brain architecture, and cognition: an observational study
European Heart Journal·2025· 1 citedOpen Access
Does a Rising Tide Lift All Boats? Bias Mitigation for AI-Based CMR Segmentation
Lecture notes in computer science·2025
Deep representation learning of electrocardiogram reveals biological insights in cardiac phenotypes and cardiovascular diseases
iScience·2025Open Access
Cardiac digital twins at scale from MRI: Open tools and representative models from ~ 55000 UK Biobank participants
PLoS ONE·2025· 6 citedOpen Access
Cardiac magnetic resonance markers of pre-clinical hypertrophic and dilated cardiomyopathy in genetic variant carriers
BMC Medicine·2025· 1 citedOpen Access
Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants
arXiv (Cornell University)·2025Open Access
A Mendelian randomization analysis of cardiac MRI measurements as surrogate outcomes for heart failure and atrial fibrillation
Communications Medicine·2025· 3 citedOpen Access
An investigation into the causes of race bias in artificial intelligence–based cine cardiac magnetic resonance segmentation
European Heart Journal - Digital Health·2025· 4 citedOpen Access
Biologically Older Cardiovascular System Predicts Adverse Clinical Outcome Independently of Chronological Age
SSRN Electronic Journal·2025Open Access
Cardiac magnetic resonance markers of pre-clinical hypertrophic and dilated cardiomyopathy in genetic variant carriers
2024· 1 citedOpen Access
Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets with Domain Shift and Partial Labelling
Lecture notes in computer science·2024· 2 cited
Scan-rescan variability of AI-enabled cardiac functional assessment from cine CMR
European Heart Journal·2024Open Access
Cardiac MRI traits linked to cardiomyopathy mutations in phenotype naive carriers
European Heart Journal·2024
An investigation into the causes of race bias in AI-based cine CMR segmentation
arXiv (Cornell University)·2024Open Access
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training
arXiv (Cornell University)·2024Open Access
Patient-specific closed-loop model of the fontan circulation: Calibration and validation
Heliyon·2024· 3 citedOpen Access
Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling
arXiv (Cornell University)·2024Open Access
Associating Ai-derived Biomarkers of Systolic and Diastolic Biventricular Function with Mortality and Hospital Admissions
Journal of Cardiovascular Magnetic Resonance·2024Open Access
Deep representation learning of electrocardiogram reveals novel insights in cardiac structure and functions and connections to cardiovascular diseases
2023Open Access
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Frequent Co-authors

Esther Puyol‐Antón(32), Andrew P. King(29), Reza Razavi(23), Julia A. Schnabel(14), İlkay Öksüz(8), Gastão Cruz(8), Claudia Prieto(8), Kuberan Pushparajah(8), David Nordsletten(7), Jorge Mariscal Harana(6), Phil Chowienczyk(6), Daniel Rueckert(6), James R. Clough(6), Matthew Sinclair(5), Steffen E. Petersen(5), Pablo Lamata(5), Tarique Hussain(5), Wenjia Bai(4), Stefan K. Piechnik(4), Stefan Neubauer(4)