ReviewProgress in biophysics and molecular biology2014
Images as drivers of progress in cardiac computational modelling.
Review in Progress in biophysics and molecular biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed.
- Cardio-Rheumatic Diseases: Inflammasomes Behaving Badly.International journal of molecular sciences · 2025Review
- A computational study on the influence of antegrade accessory pathway location on the 12-lead electrocardiogram in Wolff-Parkinson-White syndrome.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025Article
- RASopathies and Cardiac Complications: Insights into Mechanisms, Diagnosis, and Innovative Treatments.Current cardiology reviews · 2025Review
- Left Atrial Roof Enlargement Is a Distinct Feature of Heart Failure With Preserved Ejection Fraction.Circulation. Cardiovascular imaging · 2024Article
- A simple approach for image-based modelling of the heart that enables robust simulation of highly heterogeneous electrical excitation.Scientific reports · 2023Article
- A tomographic microscopy-compatible Langendorff system for the dynamic structural characterization of the cardiac cycle.Frontiers in cardiovascular medicine · 2022Article
- Linking statistical shape models and simulated function in the healthy adult human heart.PLoS computational biology · 2021Article
- Application of physics-based flow models in cardiovascular medicine: Current practices and challenges.Biophysics reviews · 2021Review
- Clinically-Driven Virtual Patient Cohorts Generation: An Application to Aorta.Frontiers in physiology · 2021Article
- Etiology-Discriminative Multimodal Imaging of Left Ventricular Hypertrophy and Synchrotron-Based Assessment of Microstructural Tissue Remodeling.Frontiers in cardiovascular medicine · 2021Article
- Cardiac multi-scale investigation of the right and left ventricleCardiovascular diagnosis and therapy · 2020Review
- Article
- An Introductory Overview of Image-Based Computational Modeling in Personalized Cardiovascular Medicine.Frontiers in bioengineering and biotechnology · 2020Review
- Investigation of the Role of Myocyte Orientations in Cardiac Arrhythmia Using Image-Based Models.Biophysical journal · 2019Article
- Spatiotemporal Characterizations of Spontaneously Beating Cardiomyocytes with Adaptive Reference Digital Image Correlation.Scientific reports · 2019Article
- Optimization Framework for Patient-Specific Cardiac Modeling.Cardiovascular engineering and technology · 2019Article
- Comprehensive Analysis of Animal Models of Cardiovascular Disease using Multiscale X-Ray Phase Contrast Tomography.Scientific reports · 2019Article
- Computational models in cardiology.Nature reviews. Cardiology · 2019Review
- Position Paper Computational Cardiology.IEEE journal of biomedical and health informatics · 2019Article
- Efficient estimation of personalized biventricular mechanical function employing gradient-based optimization.International journal for numerical methods in biomedical engineering · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Computational models have become a fundamental tool in cardiac research. Models are evolving to cover multiple scales and physical mechanisms. They are moving towards mechanistic descriptions of personalised structure and function, including effects of natural variability. These developments are underpinned to a large extent by advances in imaging technologies. This article reviews how novel imaging technologies, or the innovative use and extension of established ones, integrate with computational models and drive novel insights into cardiac biophysics. In terms of structural characterization, we discuss how imaging is allowing a wide range of scales to be considered, from cellular levels to whole organs. We analyse how the evolution from structural to functional imaging is opening new avenues for computational models, and in this respect we review methods for measurement of electrical activity, mechanics and flow. Finally, we consider ways in which combined imaging and modelling research is likely to continue advancing cardiac research, and identify some of the main challenges that remain to be solved.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.