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Qiankun Zuo

Showing results (11-20 of 18) with videos related to

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Computer Modeling in Engineering & Sciences : CMES|April 3, 2024
Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia DiagnosisQiankun Zuo, Junhua Hu, Yudong Zhang, et al.
Scientific Reports|December 2, 2024
Federated cross-view e-commerce recommendation based on feature rescalingRuiheng Li, Yuhang Shu, Yue Cao, et al.
Frontiers in Computational Neuroscience|May 2, 2024
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosisQiankun Zuo, Ruiheng Li, Binghua Shi, et al.
Neuroimage|October 9, 2025
MR-guided graph learning of <sup>18</sup>F-florbetapir PET enables accurate and interpretable Alzheimer's disease stagingXinyi Chen, Lijuan Chen, Weiheng Yao, et al.
Scientific Reports|November 3, 2024
A dynamic receptive field and improved feature fusion approach for federated learning in financial credit risk assessmentRuiheng Li, Yue Cao, Yuhang Shu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 31, 2025
MGML: A plug-and-play meta-guided multi-modal learning framework for incomplete multimodal brain tumor segmentationYulong Zou, Bo Liu, Cun-Jing Zheng, et al.
Frontiers in Cell and Developmental Biology|October 28, 2024
Multi-resolution visual Mamba with multi-directional selective mechanism for retinal disease detectionQiankun Zuo, Zhengkun Shi, Bo Liu, et al.
Frontiers in Human Neuroscience|August 7, 2025
Reaction time variations in normal aging and elderly MCI patients under various cognitive load conditionsYanfei Zhu, Zhuoming Chen, Zhengkun Shi, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
Computer Modeling in Engineering & Sciences : CMES|April 3, 2024
Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia DiagnosisQiankun Zuo, Junhua Hu, Yudong Zhang, et al.
Scientific Reports|December 2, 2024
Federated cross-view e-commerce recommendation based on feature rescalingRuiheng Li, Yuhang Shu, Yue Cao, et al.
Frontiers in Computational Neuroscience|May 2, 2024
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosisQiankun Zuo, Ruiheng Li, Binghua Shi, et al.
Neuroimage|October 9, 2025
MR-guided graph learning of <sup>18</sup>F-florbetapir PET enables accurate and interpretable Alzheimer's disease stagingXinyi Chen, Lijuan Chen, Weiheng Yao, et al.
Scientific Reports|November 3, 2024
A dynamic receptive field and improved feature fusion approach for federated learning in financial credit risk assessmentRuiheng Li, Yue Cao, Yuhang Shu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 31, 2025
MGML: A plug-and-play meta-guided multi-modal learning framework for incomplete multimodal brain tumor segmentationYulong Zou, Bo Liu, Cun-Jing Zheng, et al.
Frontiers in Cell and Developmental Biology|October 28, 2024
Multi-resolution visual Mamba with multi-directional selective mechanism for retinal disease detectionQiankun Zuo, Zhengkun Shi, Bo Liu, et al.
Frontiers in Human Neuroscience|August 7, 2025
Reaction time variations in normal aging and elderly MCI patients under various cognitive load conditionsYanfei Zhu, Zhuoming Chen, Zhengkun Shi, et al.
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