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Maarten Z H Kolk

Observed names: Kolk, M.Z.H., Kolk, Maarten Z. H., Kolk, Maarten Z.H., M H Kolk, M Kolk, M Z H K Kolk, M Z H Kolk, M. Z. H. Kolk, MZH Kolk, Maarten Kolk, Maarten Z. H. Kolk, Maarten Z. Kolk, Maarten Z.H. Kolk
ORCID: 0000-0003-0624-1510
Observed ORCID: 0000-0003-0624-1510
OpenAlex ID: A5034905076
Clinical presentation, disease course, and outcome of COVID-19 in hospitalized patients with and without pre-existing cardiac disease: a cohort study across 18 countries
2021 · M Linschoten, A Uijl, et al. · European Heart Journal · 63
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Machine learning of electrophysiological signals for the prediction of ventricular arrhythmias: systematic review and examination of heterogeneity between studies
2023 · Maarten Z.H. Kolk, Brototo Deb, et al. · EBioMedicine · 60
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Prediction of sudden cardiac death using artificial intelligence: Current status and future directions
2024 · Maarten Z.H. Kolk, Samuel Ruipérez-Campillo, et al. · Heart Rhythm · 55
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Multimodal explainable artificial intelligence identifies patients with non-ischaemic cardiomyopathy at risk of lethal ventricular arrhythmias
2024 · Maarten Z. H. Kolk, Samuel Ruipérez-Campillo, et al. · Scientific Reports · 52
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Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator
2023 · Maarten Z.H. Kolk, Samuel Ruipérez-Campillo, et al. · EBioMedicine · 38
Optimizing patient selection for primary prevention implantable cardioverter-defibrillator implantation: utilizing multimodal machine learning to assess risk of implantable cardioverter-defibrillator non-benefit
2023 · Maarten Z H Kolk, Samuel Ruipérez-Campillo, et al. · EP Europace · 29
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Reduction in long-term mortality using remote device monitoring in a large real-world population of patients with implantable defibrillators
2023 · Maarten Z H Kolk, Sanjiv M Narayan, et al. · EP Europace · 23
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Long-term adherence to a wearable for continuous behavioural activity measuring in the SafeHeart implantable cardioverter defibrillator population
2024 · Diana My Frodi, Maarten Z H Kolk, et al. · European Heart Journal - Digital Health · 17
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Electrocardiogram-based mortality prediction in patients with COVID-19 using machine learning
2022 · R. R. van de Leur, H. Bleijendaal, et al. · Netherlands Heart Journal · 16
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Behavioural digital biomarkers enable real-time monitoring of patient-reported outcomes: a substudy of the multicentre, prospective observational SafeHeart study
2023 · Maarten Z H Kolk, Diana M Frodi, et al. · European Heart Journal - Quality of Care and Clinical Outcomes · 15
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The effect of revascularization of a chronic total coronary occlusion on electrocardiographic variables. A sub-study of the EXPLORE trial
2018 · Ivo M. van Dongen, Maarten Z.H. Kolk, et al. · Journal of Electrocardiology · 14
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Rationale and design of the SafeHeart study: Development and testing of a mHealth tool for the prediction of arrhythmic events and implantable cardioverter-defibrillator therapy
2021 · Diana M. Frodi, Maarten Z.H. Kolk, et al. · Cardiovascular Digital Health Journal · 11
Accelerometer-assessed physical behavior and the association with clinical outcomes in implantable cardioverter-defibrillator recipients: A systematic review
2021 · Maarten Z.H. Kolk, Diana M. Frodi, et al. · Cardiovascular Digital Health Journal · 8
Deep behavioural representation learning reveals risk profiles for malignant ventricular arrhythmias
2024 · Maarten Z. H. Kolk, Diana My Frodi, et al. · npj Digital Medicine · 5
Predictors and outcomes of procedural failure of percutaneous coronary intervention of a chronic total occlusion—A subanalysis of the EXPLORE trial
2020 · Maarten Z. H. Kolk, Anna van Veelen, et al. · Catheterization and Cardiovascular Interventions · 5
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Reducing diverse sources of noise in ventricular electrical signals using variational autoencoders
2025 · Samuel Ruipérez-Campillo, Alain Ryser, et al. · Expert Systems with Applications · 4
Artificial intelligence–enhanced wearable technology enables ventricular arrhythmia prediction
2024 · Maarten Z H Kolk, Diana My Frodi, et al. · European Heart Journal - Digital Health · 4
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Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data
2022 · "Florence E. van Lieshout, Roel Klein, et al. · Computing in cardiology · 4
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Patient-reported outcomes in symptom-driven remote arrhythmia monitoring: evaluation of the Dutch HartWacht-telemonitoring programme
2021 · Maarten Z H Kolk, Sebastiaan Blok, et al. · European Heart Journal - Digital Health · 4
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Relationship between activity and sleep, as measured through a wearable accelerometer, and appropriate cardioverter defibrillator interventions: a prospective SafeHeart substudy
2024 · Diana M Frodi, Maarten Z H Kolk, et al. · EP Europace · 3
Can Generative AI Learn Physiological Waveform Morphologies? A Study on Denoising Intracardiac Signals in Ischemic Cardiomyopathy
2024 · Samuel Ruiperez-Campillo, Alain Ryser, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 3
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Dual-phase cross-modal contrastive learning for CMR-guided ECG representations for cardiovascular disease assessment
2026 · Laura Alvarez-Florez, Angel Bujalance-Gomez, et al. · SPIE Medical Imaging: Image Processing · 1
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Weakly-Supervised Deep learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image Level Labels.
2022 · "Roel Klein, Florence E. van Lieshout, et al. · Computing in cardiology · 1
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Remote device monitoring shows long-term survival benefit in a propensity matched study of ICD patients
2022 · MZH Kolk, FVY Tjong, et al. · EP Europace · 1
Circadian rest–activity rhythm disruption and ventricular arrhythmias in implantable cardioverter-defibrillator patients: a prospective wearable study
2026 · Femke D Raijmakers, Diana My Frodi, et al. · EP Europace
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Works count: 55
Citation count: 436
H-index: 11
I10-index: 12
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