Modality-Aware and Anatomical Vector-Quantized Autoencoding for Multimodal Brain MRI
- DOI
- 10.1109/cvprf71909.2026.00121
- Published
- 2026-06
- Container
- 2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition- FINDINGS Track (CVPRF)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/cvprf71909.2026.00121,
title = {Modality-Aware and Anatomical Vector-Quantized Autoencoding for Multimodal Brain MRI},
author = {Mingjie Li and Edward Kim and Yue Zhao and Ehsan Adeli and Kilian M. Pohl},
year = {2026},
journal = {2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition- FINDINGS Track (CVPRF)},
doi = {10.1109/cvprf71909.2026.00121},
url = {https://doi.org/10.1109/cvprf71909.2026.00121}
}RIS
TY - JOUR TI - Modality-Aware and Anatomical Vector-Quantized Autoencoding for Multimodal Brain MRI AU - Mingjie Li AU - Edward Kim AU - Yue Zhao AU - Ehsan Adeli AU - Kilian M. Pohl PY - 2026 JO - 2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition- FINDINGS Track (CVPRF) DO - 10.1109/cvprf71909.2026.00121 UR - https://doi.org/10.1109/cvprf71909.2026.00121 ER -
APA
Li, M., Kim, E., Zhao, Y., Adeli, E., & Pohl, K. M. (2026). Modality-Aware and Anatomical Vector-Quantized Autoencoding for Multimodal Brain MRI. 2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition- FINDINGS Track (CVPRF). https://doi.org/10.1109/cvprf71909.2026.00121
Source records
- crossref · retrieved 2026-11-10T10:30:52.421Z