You're currently viewing an old version of this dataset. To see the current version, click here.

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

This dataset has no data

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

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

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