A deep learning-based framework for patient-specific radiation dose prediction in beta-emitting radionuclide therapies
The proposed DL model enables dose prediction for radionuclides not included in the training data without NM images.
Authors
- Sangseok Ha (ORCID: https://orcid.org/0000-0003-0810-1298)
- Wonmo Sung (ORCID: https://orcid.org/0000-0002-0172-0646)
- D. Y. Kang
- Hyera Kang
- Jung Suk Oh
- Jinhee Jang
Institutions
- The Catholic University of Korea Seoul St. Mary's Hospital (KR)
- Catholic University of Korea (KR)
Publication Details
- Journal
- Physics in Medicine and Biology
- Published
- 2026-03-17
- DOI
- https://doi.org/10.1088/1361-6560/ae5375
- Primary Topic
- Radiopharmaceutical Chemistry and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00