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BrainNet-GAN: Generative Adversarial Graph Convolutional Network for Functional Brain Network Synthesis from Routine Clinical Brain Structural T1-Weighted Sequence

Crossref DOI link: https://doi.org/10.1007/s10548-025-01125-y

Published Online: 2025-06-23

Published Print: 2025-07

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

Authors

Nan, Haiwang

Song, Zhiwei

Zheng, Qiang
Funding

Funding for this research was provided by:

the National Natural Science Foundation of China (61802330, 61802331)

Yantai City Science and Technology Innovation Development Plan (2023XDRH006)

Shandong Provincial Natural Science Foundation (ZR2020QH048)

Open Project of Key Laboratory of Medical Imaging and Artificial Intelligence of Hunan Province, Xiangnan University (YXZN2022002)
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Text and Data Mining valid from 2025-06-23

Version of Record valid from 2025-06-23
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Article History

Received: 7 August 2024

Accepted: 11 June 2025

First Online: 23 June 2025

Declarations

:

: The authors declare no competing interests.

: Since this study was conducted on publicly available datasets, the study was approved by the institutional review boards of all the participating institutions.

: Since this study was conducted on publicly available datasets, informed consent was obtained from all individual participants included in the study.

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