Foundation Model Based on Routine Magnetic Resonance Imaging for Brain Tumor Molecular Profiling and Progression Prediction
UMBIF showed robust transferability to both post-therapy imaging assessment and molecular status prediction in glioma. By leveraging large-scale self-supervised pretraining to boost performance while reducing dependence on manual annotations, the framework may facilitate more efficient and reliable diagnostic workflows.
Authors
- Qian Su (ORCID: https://orcid.org/0000-0002-5455-7002)
- Qiang Yin (ORCID: https://orcid.org/0000-0002-2823-4664)
- Ximin Gao
- Junxian Li
- Yuchen Xing
- Renhe Liu
Institutions
- Tianjin Medical University Cancer Institute and Hospital (CN)
Publication Details
- Journal
- JCO Precision Oncology
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1200/po-25-00930
- Citations
- 1
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 36.93