Multimodal medical image‐to‐image translation via variational autoencoder latent space mapping
The proposed three-stage approach successfully develops a unified image translation model that can effectively handle a wide range of medical image translation tasks. This flexibility and effectiveness make it a valuable tool for clinical applications.
Authors
- Zhiwen Liang (ORCID: https://orcid.org/0000-0002-0596-1586)
- Song Li (ORCID: https://orcid.org/0000-0002-5974-1140)
- Xin Tian
- Ying Hu (ORCID: https://orcid.org/0000-0002-3807-3649)
- Jinhui Ma
- Mengjie Cheng
Institutions
- Union Hospital (HK)
- Wuhan University (CN)
- Renmin Hospital of Wuhan University (CN)
- Hubei University of Education (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1002/mp.17912
- Citations
- 2
- Primary Topic
- Generative Adversarial Networks and Image Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 2.55