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Ning Qiang

Showing results (11-20 of 25) with videos related to

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Chemosphere|October 18, 2022
Migration and diffusion of unsteady-state flow of volatile organic compounds on activated carbon adsorption beds under reverse ventilationTao Liu, Ning Qiang, Jiao He, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 4, 2022
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG DatasetShu Zhang, Lin Wu, Sigang Yu, et al.
Frontiers in Neuroscience|May 22, 2023
Multi-head attention-based masked sequence model for mapping functional brain networksMengshen He, Xiangyu Hou, Enjie Ge, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 29, 2020
Modeling task-based fMRI data via deep belief network with neural architecture searchNing Qiang, Qinglin Dong, Wei Zhang, et al.
Journal of Neural Engineering|July 6, 2021
Modeling and augmenting of fMRI data using deep recurrent variational auto-encoderNing Qiang, Qinglin Dong, Hongtao Liang, et al.
Cerebral Cortex (New York, N.Y. : 1991)|April 21, 2023
Accurate corresponding fiber tract segmentation via FiberGeoMap learner with application to autismZhenwei Wang, Mengshen He, Yifan Lv, et al.
IEEE Journal of Biomedical and Health Informatics|August 21, 2023
End-to-end Prediction of EGFR Mutation Status with DenseformerShijie Zhao, Wenyuan Li, Zhuoyan Liu, et al.
Journal of Neural Engineering|February 26, 2024
Mapping dynamic spatial patterns of brain function with spatial-wise attentionYiheng Liu, Enjie Ge, Mengshen He, et al.
Computer Methods and Programs in Biomedicine|July 6, 2022
Learning brain representation using recurrent Wasserstein generative adversarial netNing Qiang, Qinglin Dong, Hongtao Liang, et al.
Behavioural Brain Research|July 29, 2023
A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networksNing Qiang, Jie Gao, Qinglin Dong, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
Chemosphere|October 18, 2022
Migration and diffusion of unsteady-state flow of volatile organic compounds on activated carbon adsorption beds under reverse ventilationTao Liu, Ning Qiang, Jiao He, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 4, 2022
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG DatasetShu Zhang, Lin Wu, Sigang Yu, et al.
Frontiers in Neuroscience|May 22, 2023
Multi-head attention-based masked sequence model for mapping functional brain networksMengshen He, Xiangyu Hou, Enjie Ge, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 29, 2020
Modeling task-based fMRI data via deep belief network with neural architecture searchNing Qiang, Qinglin Dong, Wei Zhang, et al.
Journal of Neural Engineering|July 6, 2021
Modeling and augmenting of fMRI data using deep recurrent variational auto-encoderNing Qiang, Qinglin Dong, Hongtao Liang, et al.
Cerebral Cortex (New York, N.Y. : 1991)|April 21, 2023
Accurate corresponding fiber tract segmentation via FiberGeoMap learner with application to autismZhenwei Wang, Mengshen He, Yifan Lv, et al.
IEEE Journal of Biomedical and Health Informatics|August 21, 2023
End-to-end Prediction of EGFR Mutation Status with DenseformerShijie Zhao, Wenyuan Li, Zhuoyan Liu, et al.
Journal of Neural Engineering|February 26, 2024
Mapping dynamic spatial patterns of brain function with spatial-wise attentionYiheng Liu, Enjie Ge, Mengshen He, et al.
Computer Methods and Programs in Biomedicine|July 6, 2022
Learning brain representation using recurrent Wasserstein generative adversarial netNing Qiang, Qinglin Dong, Hongtao Liang, et al.
Behavioural Brain Research|July 29, 2023
A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networksNing Qiang, Jie Gao, Qinglin Dong, et al.
Pageof 3