Automatic specific absorption rate (SAR) prediction for hyperthermia treatment planning using deep learning method
This work introduces a novel deep learning-based approach that significantly accelerates SAR calculation in HTP, enabling adaptive therapy strategies to improve treatment outcomes in hyperthermia.
Authors
- Lei Ren (ORCID: https://orcid.org/0000-0003-3222-2102)
- Yankun Lang (ORCID: https://orcid.org/0000-0001-9823-3264)
- Dário B. Rodrigues (ORCID: https://orcid.org/0000-0001-6805-5989)
Institutions
- University of Maryland, Baltimore (US)
- Maryland Oncology Hematology (US)
Publication Details
- Journal
- International Journal of Hyperthermia
- Published
- 2025-09-09
- DOI
- https://doi.org/10.1080/02656736.2025.2554860
- Primary Topic
- Ultrasound and Hyperthermia Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health