Gradient-Based Optimization of All-Pass Filter Networks for Non-Invasive Electroanatomical Mapping
- DOI
- 10.1109/access.2025.3588293
- Published
- 2025
- Container
- IEEE Access
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/access.2025.3588293,
title = {Gradient-Based Optimization of All-Pass Filter Networks for Non-Invasive Electroanatomical Mapping},
author = {Erik Engelhardt and Johannes Hoffmann and Moritz Boueke and Lukas Elsner and Marius Leye and Norbert Frey and Gerhard Schmidt},
year = {2025},
journal = {IEEE Access},
doi = {10.1109/access.2025.3588293},
url = {https://doi.org/10.1109/access.2025.3588293}
}RIS
TY - JOUR TI - Gradient-Based Optimization of All-Pass Filter Networks for Non-Invasive Electroanatomical Mapping AU - Erik Engelhardt AU - Johannes Hoffmann AU - Moritz Boueke AU - Lukas Elsner AU - Marius Leye AU - Norbert Frey AU - Gerhard Schmidt PY - 2025 JO - IEEE Access DO - 10.1109/access.2025.3588293 UR - https://doi.org/10.1109/access.2025.3588293 ER -
APA
Engelhardt, E., Hoffmann, J., Boueke, M., Elsner, L., Leye, M., Frey, N., & Schmidt, G. (2025). Gradient-Based Optimization of All-Pass Filter Networks for Non-Invasive Electroanatomical Mapping. IEEE Access. https://doi.org/10.1109/access.2025.3588293
Source records
- doaj · retrieved 2026-09-24T21:04:11.865Z