MDF-Net: A Decoupled Multimodal Fusion Network with Contrastive Learning for Reliable Brain Tumor Segmentation on Multi-sequence MRI.
- DOI
- 10.1007/s10278-026-02414-z
- Published
- 2026 Nov 5
- Container
- Journal of imaging informatics in medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10278-026-02414-z,
title = {MDF-Net: A Decoupled Multimodal Fusion Network with Contrastive Learning for Reliable Brain Tumor Segmentation on Multi-sequence MRI.},
author = {Ming J and Tian J and Yang M and Li Q and Wei J and Shu Q and Pu Q},
year = {2026},
journal = {Journal of imaging informatics in medicine},
doi = {10.1007/s10278-026-02414-z},
url = {https://doi.org/10.1007/s10278-026-02414-z}
}RIS
TY - JOUR TI - MDF-Net: A Decoupled Multimodal Fusion Network with Contrastive Learning for Reliable Brain Tumor Segmentation on Multi-sequence MRI. AU - Ming J AU - Tian J AU - Yang M AU - Li Q AU - Wei J AU - Shu Q AU - Pu Q PY - 2026 JO - Journal of imaging informatics in medicine DO - 10.1007/s10278-026-02414-z UR - https://doi.org/10.1007/s10278-026-02414-z ER -
APA
J, M., J, T., M, Y., Q, L., J, W., Q, S., & Q, P. (2026). MDF-Net: A Decoupled Multimodal Fusion Network with Contrastive Learning for Reliable Brain Tumor Segmentation on Multi-sequence MRI.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-02414-z
Source records
- pubmed · retrieved 2026-11-10T12:29:50.595Z