Scholar
Felix Meister
Google Scholar ID: Dw3UbMgAAAAJ
Dr.-Ing., Research Scientist @ Siemens Healthineers
Citations & Impact
Citations
105
H-index
6
i10-index
3
Publications
16
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- 2022: Published 'Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model' at MICCAI 2022
- 2021: Published 'Extrapolation of Ventricular Activation Times From Sparse Electroanatomical Data Using Graph Convolutional Neural Networks' in Frontiers in Physiology
- 2021: Contributed book chapter 'Graph Convolutional Regression of Cardiac Depolarization from Sparse Endocardial Maps'
- 2020: Published 'Deep learning acceleration of Total Lagrangian Explicit Dynamics for soft tissue mechanics' in Computer Methods in Applied Mechanics and Engineering
- 2020: Co-authored two chapters in the book 'Artificial Intelligence for Computational Modeling of the Heart': 'Additional clinical applications' and 'Data-driven reduction of cardiac models'
