Mark Potse
European Heart Journal · 2006–2020
A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Mark Potse trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Mark Potse overall
Papers from Mark Potse's perspective
Ordered by how strongly the researchers Mark Potse trusts endorse each paper. Same corpus, a different order for every researcher.
- Iterative methods for sparse linear systems
- Numerical Recipes in C: The Art of Scientific Computing
- A Comparison of Monodomain and Bidomain Reaction-Diffusion Models for Action Potential Propagation in the Human Heart (IEEE Transactions on Biomedical Engineering)
- An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
- Marching cubes: A high resolution 3D surface construction algorithm
- A model for human ventricular tissue. (American Journal of Physiology. Heart and Circulatory Physiology)
- Solvers for the Cardiac Bidomain Equations (Progress in Biophysics and Molecular Biology)
- On the low-rank approximation by the pivoted Cholesky decomposition
- Big data analytics to improve cardiovascular care: promise and challenges (Nature Reviews Cardiology)
- Digital twin-driven product design, manufacturing and service with big data (The International Journal of Advanced Manufacturing Technology)
Their papers
- On Sampling Spatially-Correlated Random Fields for Complex Geometries (2019) — 13 citations
- The ‘Digital Twin’ to enable the vision of precision cardiology (2020) — 734 citations
- Evaluation of a Rapid Anisotropic Model for ECG Simulation (2017) — 52 citations
- A Comparison of Monodomain and Bidomain Reaction-Diffusion Models for Action Potential Propagation in the Human Heart (2006) — 481 citations