Probabilistic Modeling for Image Registration Using Radial Basis Functions: Application to Cardiac Motion Estimation.
- DOI
- 10.1109/tnnls.2022.3141119
- Published
- 2023 Oct
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2022.3141119,
title = {Probabilistic Modeling for Image Registration Using Radial Basis Functions: Application to Cardiac Motion Estimation.},
author = {Gan Z and Sun W and Liao K and Yang X},
year = {2023},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2022.3141119},
url = {https://doi.org/10.1109/tnnls.2022.3141119}
}RIS
TY - JOUR TI - Probabilistic Modeling for Image Registration Using Radial Basis Functions: Application to Cardiac Motion Estimation. AU - Gan Z AU - Sun W AU - Liao K AU - Yang X PY - 2023 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2022.3141119 UR - https://doi.org/10.1109/tnnls.2022.3141119 ER -
APA
Z, G., W, S., K, L., & X, Y. (2023). Probabilistic Modeling for Image Registration Using Radial Basis Functions: Application to Cardiac Motion Estimation.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2022.3141119
Source records
- pubmed · retrieved 2026-11-10T11:11:52.475Z