Encoding depth heterogeneity into time: a finite-window power-series thermal response model for non-invasive tissue characterization and early tumor detection
- DOI
- 10.1088/1361-6560/aea7f3
- Published
- 2026-09-15
- Container
- Physics in Medicine & Biology
- Publisher
- IOP Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1088/1361-6560/aea7f3,
title = {Encoding depth heterogeneity into time: a finite-window power-series thermal response model for non-invasive tissue characterization and early tumor detection},
author = {Hong Tang and Cong Zhang and Hai Zhang and Andreas Mandelis},
year = {2026},
journal = {Physics in Medicine \& Biology},
doi = {10.1088/1361-6560/aea7f3},
url = {https://doi.org/10.1088/1361-6560/aea7f3}
}RIS
TY - JOUR TI - Encoding depth heterogeneity into time: a finite-window power-series thermal response model for non-invasive tissue characterization and early tumor detection AU - Hong Tang AU - Cong Zhang AU - Hai Zhang AU - Andreas Mandelis PY - 2026 JO - Physics in Medicine & Biology DO - 10.1088/1361-6560/aea7f3 UR - https://doi.org/10.1088/1361-6560/aea7f3 ER -
APA
Tang, H., Zhang, C., Zhang, H., & Mandelis, A. (2026). Encoding depth heterogeneity into time: a finite-window power-series thermal response model for non-invasive tissue characterization and early tumor detection. Physics in Medicine & Biology. https://doi.org/10.1088/1361-6560/aea7f3
Source records
- crossref · retrieved 2026-09-25T14:14:59.070Z