Patient‐ and fraction‐specific magnetic resonance volume reconstruction from orthogonal images with generative adversarial networks
By employing a patient- and fraction-specific fine-tuning approach, the GAN model demonstrated promising accuracy despite limited data availability.
Authors
- Nobunari Hamaura
- Mutsumi Yamagishi
- Haruo Inokuchi
- Mai Sakagami
- Dejun Zhou (ORCID: https://orcid.org/0000-0002-2705-8603)
- N. Mukumoto
- Nobutaka Mukumoto
- Hideaki Hirashima (ORCID: https://orcid.org/0000-0003-1548-1970)
- Mitsuhiro Nakamura (ORCID: https://orcid.org/0000-0002-6406-2097)
- Keiko Shibuya (ORCID: https://orcid.org/0000-0002-1581-3253)
Institutions
- Kyoto University (JP)
- Osaka Metropolitan University (JP)
- Tokyo Metropolitan University (JP)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-02-04
- DOI
- https://doi.org/10.1002/mp.17668
- Citations
- 1
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.88