SRDTI: Deep learning-based super-resolution for diffusion tensor MRI

High-resolution diffusion-weighted images (DWIs) from low-resolution DWIs using a deep learning-based super-resolution method entitled “SRDTI” to synthesize high-resolution diffusion-weighted images (DWIs) from low-resolution DWIs.

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Cite this as

Qiyuan Tian, Ziyu Li, Qiuyun Fan, Chanon Ngamsombat, Yuxin Hu, Congyu Liao, Fuyixue Wang, Kawin Setsompop, Jonathan R. Polimeni, Berkin Bilgic, Susie Y. Huang (2024). Dataset: SRDTI: Deep learning-based super-resolution for diffusion tensor MRI. https://doi.org/10.57702/kurl710i

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2102.09069
Author Qiyuan Tian
More Authors
Ziyu Li
Qiuyun Fan
Chanon Ngamsombat
Yuxin Hu
Congyu Liao
Fuyixue Wang
Kawin Setsompop
Jonathan R. Polimeni
Berkin Bilgic
Susie Y. Huang
Homepage https://arxiv.org/abs/2009.1556