MedNet and U$^2$-ViT: A Nested Vision Transformer Diffusion Framework for Diverse Medical Images Generation
- DOI
- 10.48550/arxiv.2611.01605
- Published
- 2026
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2611.01605,
title = {MedNet and U\$\textasciicircum{}2\$-ViT: A Nested Vision Transformer Diffusion Framework for Diverse Medical Images Generation},
author = {Polamreddy, Lakshmikar R. and Li, Jialu and Zhang, Youshan},
year = {2026},
doi = {10.48550/arxiv.2611.01605},
url = {https://doi.org/10.48550/arxiv.2611.01605}
}RIS
TY - JOUR TI - MedNet and U$^2$-ViT: A Nested Vision Transformer Diffusion Framework for Diverse Medical Images Generation AU - Polamreddy, Lakshmikar R. AU - Li, Jialu AU - Zhang, Youshan PY - 2026 DO - 10.48550/arxiv.2611.01605 UR - https://doi.org/10.48550/arxiv.2611.01605 ER -
APA
R., P. L., Jialu, L., & Youshan, Z. (2026). MedNet and U$^2$-ViT: A Nested Vision Transformer Diffusion Framework for Diverse Medical Images Generation. https://doi.org/10.48550/arxiv.2611.01605
Source records
- datacite · retrieved 2026-11-07T12:57:35.851Z