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ds-FCRN: three-dimensional dual-stream fully convolutional residual networks and transformer-based global–local feature learning for brain age prediction

Crossref DOI link: https://doi.org/10.1007/s00429-024-02889-y

Published Online: 2025-01-18

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wu, Yutong

Zhang, Chen

Ma, Xiangge

Zhu, Xinyu

Lin, Lan

Tian, Miao
Funding

Funding for this research was provided by:

the National Natural Science Foundation of China (81971683)

the Natural Science Foundation of Beijing Municipality (L182010)

the Scientific Research General Project of Beijing Municipal Education Committee (KM201810005033)
License Information

Text and Data Mining valid from 2025-01-18

Version of Record valid from 2025-01-18
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Article History

Received: 25 September 2024

Accepted: 23 December 2024

First Online: 18 January 2025

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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