A prior knowledge-guided convolutional neural network model for predicting fetal brain age from MRI during second and third trimesters
A prior knowledge-guided CNN model that utilized fetal brain MRI data from the second and third trimesters can accurately predict fetal brain age, which holds significant potential for optimizing pregnancy management.
Authors
- Shijie Huang (ORCID: https://orcid.org/0009-0000-0701-5852)
- Zhongxiang Ding (ORCID: https://orcid.org/0000-0001-7691-5571)
- Kai Zhang (ORCID: https://orcid.org/0000-0002-6691-6762)
- Jianliang Wang (ORCID: https://orcid.org/0000-0002-7265-4391)
- Xue Tang (ORCID: https://orcid.org/0009-0004-1906-1249)
- Fangmei Zhu (ORCID: https://orcid.org/0000-0003-0110-455X)
- Dinggang Shen
Institutions
- Shanghai Medical College of Fudan University (CN)
- ShanghaiTech University (CN)
- Westlake University (CN)
- Tongde Hospital of Zhejiang Province (CN)
- United Imaging Healthcare (China) (CN)
- Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN)
- Shanghai Clinical Research Center (CN)
- Hangzhou Medical College (CN)
Publication Details
- Journal
- BMC Pregnancy and Childbirth
- Published
- 2025-12-12
- DOI
- https://doi.org/10.1186/s12884-025-08474-3
- Primary Topic
- Fetal and Pediatric Neurological Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Westlake University