Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Machine learning for advancing gamma source localization in a human phantom using NaI (Tl) detector spectra in radiobioassay
Related
- Advancing Nuclear Physics with Machine Learning and Artificial Intelligence
- Parnassus for the CLD Detector: A Generative Machine-Learning Surrogate for Detector Simulation and Reconstruction at the FCC-ee
- Omnidirectional Radiation Detector with Perpendicular Dual Silicon Photomultiplier Readout - Directional Sensitivity and Machine Learning Source Positioning
- Cross-Detector Transfer Learning with Parnassus: From ALEPH to SLD
- Meta-learning accelerates detector design optimization
BibTeX
@article{moshkbarbakhshayesh2026machine,
title = {{Machine learning for advancing gamma source localization in a human phantom using NaI (Tl) detector spectra in radiobioassay}},
author = {Khalil Moshkbar-Bakhshayesh and Zahra Lashani and Soroush Mohtashami},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-78522-1},
url = {https://www.nature.com/articles/s41598-026-78522-1},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Machine learning for advancing gamma source localization in a human phantom using NaI (Tl) detector spectra in radiobioassay
AU - Khalil Moshkbar-Bakhshayesh
AU - Zahra Lashani
AU - Soroush Mohtashami
PY - 2026
DA - 2026/10/28
JO - Scientific Reports
DO - 10.1038/s41598-026-78522-1
UR - https://www.nature.com/articles/s41598-026-78522-1
SN - 2045-2322
ER -