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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.

Data and Resources

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

Field Value
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