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Rob J. van der Geest

Leiden University Medical Center · NL
Area of research
Radiology, Nuclear Medicine and Imaging · Cardiology and Cardiovascular Medicine
Research interest
Research interests include Cardiac Imaging and Diagnostics, Advanced MRI Techniques and Applications, Cardiovascular Function and Risk Factors, and Cardiac Valve Diseases and Treatments.
h-index
70
citations
17,904
works
581
NIH funding
primary concept
email

Recent publications

Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge
Medical Image Analysis 2026cited by 3position: contributordoi
Myocardial Viability and Ischaemia in Chronic Total Occlusion
Medicina 2026cited by 0position: contributordoi
Myocardial Entropy and Risk Predictors in Hypertrophic Cardiomyopathy: An Analysis From the NHLBI HCM Registry.
2025cited by 2position: contributordoi
Regional Cardiac Denervation Predicts Sustained Ventricular Arrhythmias in Nonischemic Cardiomyopathy Patients Without LGE on CMR Imaging.
2025cited by 1position: contributordoi
Haemodynamic implications of cardiovascular magnetic resonance pulmonary capillary wedge pressure in acute myocardial infarction.
2025cited by 1position: contributordoi
Prediction of ventricular arrhythmias and sudden cardiac death by quantification and location of late gadolinium enhancement on cardiac magnetic resonance: a systematic review and meta-analysis.
2025cited by 0position: contributordoi
Cardiovascular magnetic resonance imaging markers of ageing: a multi-centre, cross-sectional cohort study.
2025cited by 0position: contributordoi
Sudden cardiac death after myocardial infarction: individual participant data from pooled cohorts
European Heart Journal 2024cited by 43position: middledoi
Sudden cardiac death after myocardial infarction: individual participant data from pooled cohorts.
2024cited by 30position: contributordoi
Assessment of paravalvular regurgitation after transcatheter aortic valve replacement using 2D multi-velocity encoding and 4D flow cardiac magnetic resonance.
2024cited by 8position: contributordoi
Aortic flow is abnormal in HFpEF
Wellcome Open Research 2024cited by 0position: contributordoi
4D Flow cardiovascular magnetic resonance consensus statement: 2023 update
Journal of Cardiovascular Magnetic Resonance 2023cited by 243position: middledoi
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge
IEEE Journal of Biomedical and Health Informatics 2023cited by 73position: contributordoi
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge
IEEE Journal of Biomedical and Health Informatics 2023cited by 66position: middledoi
The Importance of Mitral Valve Prolapse Doming Volume in the Assessment of Left Ventricular Stroke Volume with Cardiac MRI
Medical Sciences 2023cited by 5position: contributordoi
Validation of Left Ventricular High Frame Rate Echo-Particle Image Velocimetry against 4D Flow MRI in Patients
2023cited by 1position: contributordoi
Aortic flow is abnormal in HFpEF
Wellcome Open Research 2023cited by 1position: contributordoi
Additional file 2 of Age- and sex-specific reference values of biventricular flow components and kinetic energy by 4D flow cardiovascular magnetic resonance in healthy subjects
Open MIND 2023cited by 0position: middledoi
Validation of Artificial Intelligence Cardiac MRI Measurements: Relationship to Heart Catheterization and Mortality Prediction.
2022cited by 27position: contributordoi
Right ventricular energetic biomarkers from 4D Flow CMR are associated with exertional capacity in pulmonary arterial hypertension
Journal of Cardiovascular Magnetic Resonance 2022cited by 26position: middledoi
Revealing Unforeseen Diagnostic Image Features With Deep Learning by Detecting Cardiovascular Diseases From Apical 4‐Chamber Ultrasounds
Journal of the American Heart Association 2022cited by 11position: contributordoi
The Role of Artificial Intelligence in Predicting Outcomes by Cardiovascular Magnetic Resonance: A Comprehensive Systematic Review
Medicina 2022cited by 8position: contributordoi
The transmural activation interval: a new mapping tool to identify ventricular tachycardia substrates in right ventricular cardiomyopathy
EP Europace 2022cited by 4position: contributordoi
Posterior Left Atrial Adipose Tissue Attenuation Assessed by Computed Tomography and Recurrence of Atrial Fibrillation After Catheter Ablation
Circulation: Arrhythmia and Electrophysiology 2021cited by 47position: contributordoi
Reference ranges (“normal values”) for cardiovascular magnetic resonance (CMR) in adults and children: 2020 update
Journal of Cardiovascular Magnetic Resonance 2020cited by 584position: middledoi
Deep Learning–based Method for Fully Automatic Quantification of Left Ventricle Function from Cine MR Images: A Multivendor, Multicenter Study
Radiology 2018cited by 207position: lastdoi
Hypertrophic Cardiomyopathy Patients With Paroxysmal Atrial Fibrillation Have a High Burden of Left Atrial Fibrosis by Cardiac Magnetic Resonance Imaging
JACC. Clinical electrophysiology 2018cited by 97position: middledoi
Algorithms for left atrial wall segmentation and thickness – Evaluation on an open-source CT and MRI image database
Medical Image Analysis 2018cited by 68position: middledoi
Evaluation of Age-Related Interstitial Myocardial Fibrosis With Cardiac Magnetic Resonance Contrast-Enhanced T1 Mapping
Journal of the American College of Cardiology 2013cited by 341position: middledoi
Effect of Sleep Apnea and Continuous Positive Airway Pressure on Cardiac Structure and Recurrence of Atrial Fibrillation
Journal of the American Heart Association 2013cited by 157position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

· 16 papers (2021–2026)Pankaj Garg · University College London7 papers (2022–2026)Hosamadin S Assadi · University of East Anglia6 papers (2022–2026)Andrew J. Swift · Glasgow Centre for Population Health5 papers (2022–2025)Vassilios S. Vassiliou · University of East Anglia4 papers (2023–2026) · 4 papers (2023–2026)David A. Bluemke · University of Wisconsin Health4 papers (2012–2020)Peter Swoboda · University of Leeds4 papers (2023–2025)Nay Aung · William Harvey Research Institute3 papers (2023–2025) · 3 papers (2023–2025)Xiaodan Zhao · Qingdao University3 papers (2023–2025)Pankaj Garg · University of East Anglia3 papers (2018–2023)João A.C. Lima · University of Birmingham3 papers (2012–2013)Ting Ting Low · National University of Singapore2 papers (2022–2023)Ju Le Tan · University of Malaya2 papers (2022–2023)Michael Jerosch‐Herold · Harvard University2 papers (2013–2020) · 2 papers (2022–2023)Evrim Türkbey · National Institutes of Health2 papers (2012–2012)Lynette Teo · National University of Singapore2 papers (2022–2023)Liang Zhong · Nanjing University2 papers (2022–2023)