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Jingyu Liu 0002
Person information
- affiliation: Beihang University, Beijing, China
Other persons with the same name
- Jingyu Liu — disambiguation page
- Jingyu Liu 0001
— Georgia State University, Atlanta, GA, USA
- Jingyu Liu 0003
— Hebei University of Technology, Tianjin, China
- Jingyu Liu 0004
— Peking University, Beijing, China
- Jingyu Liu 0005
— University of Chinese Academy of Sciences, Beijing, China
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2020 – today
- 2024
- [j13]Jingyu Liu
, Wenxin Yang, Yulan Ma
, Qunxi Dong, Yang Li, Bin Hu:
Effective hyper-connectivity network construction and learning: Application to major depressive disorder identification. Comput. Biol. Medicine 171: 108069 (2024) - [j12]Yulan Ma, Yuzhu Guo
, Weigang Cui, Jingyu Liu
, Yang Li
, Yingsen Wang, Yan Qiang:
SG-Transunet: A segmentation-guided Transformer U-Net model for KRAS gene mutation status identification in colorectal cancer. Comput. Biol. Medicine 173: 108293 (2024) - [j11]Qunxi Dong
, Hongxin Cai
, Zhigang Li
, Jingyu Liu
, Bin Hu
:
A Multiview Brain Network Transformer Fusing Individualized Information for Autism Spectrum Disorder Diagnosis. IEEE J. Biomed. Health Informatics 28(8): 4854-4865 (2024) - [j10]Jingyu Liu
, Weigang Cui
, Yipeng Chen, Yulan Ma
, Qunxi Dong
, Ran Cai
, Yang Li
, Bin Hu
:
Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis. IEEE Trans. Medical Imaging 43(2): 860-873 (2024) - [j9]Yulan Ma
, Weigang Cui
, Jingyu Liu
, Yuzhu Guo
, Huiling Chen
, Yang Li
:
A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis. IEEE Trans. Medical Imaging 43(3): 1045-1059 (2024) - 2023
- [j8]Jie Luo, Weigang Cui
, Jingyu Liu
, Yang Li
, Yuzhu Guo
, Song Xu, Lina Wang:
Visual Image Decoding of Brain Activities Using a Dual Attention Hierarchical Latent Generative Network With Multiscale Feature Fusion. IEEE Trans. Cogn. Dev. Syst. 15(2): 761-773 (2023) - [j7]Yang Li
, Yue Zhang
, Jingyu Liu
, Kang Wang, Kai Zhang, Gen-Sheng Zhang, Xiaofeng Liao
, Guang Yang
:
Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation. IEEE Trans. Cybern. 53(9): 5826-5839 (2023) - 2022
- [j6]Yang Li, Jingyu Liu, Yiqiao Jiang, Yu Liu, Baiying Lei:
Virtual Adversarial Training-Based Deep Feature Aggregation Network From Dynamic Effective Connectivity for MCI Identification. IEEE Trans. Medical Imaging 41(1): 237-251 (2022) - 2020
- [j5]Yang Li
, Jingyu Liu
, Zi-Wen Peng, Can Sheng, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen:
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification. Neuroinformatics 18(1): 1-24 (2020) - [j4]Yang Li
, Jingyu Liu
, Zhenyu Tang, Baiying Lei
:
Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification. IEEE Trans. Medical Imaging 39(9): 2818-2830 (2020)
2010 – 2019
- 2019
- [j3]Yang Li, Jingyu Liu
, Xinqiang Gao, Biao Jie
, Minjeong Kim, Pew-Thian Yap
, Chong-Yaw Wee, Dinggang Shen:
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification. Medical Image Anal. 52: 80-96 (2019) - [j2]Yang Li
, Hao Yang
, Baiying Lei
, Jingyu Liu
, Chong-Yaw Wee:
Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification. IEEE Trans. Medical Imaging 38(5): 1227-1239 (2019) - [c3]Yiqiao Jiang
, Huifang Huang
, Jingyu Liu
, Chong-Yaw Wee, Yang Li:
Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis. MLMI@MICCAI 2019: 507-515 - 2018
- [j1]Yang Li, Jingyu Liu
, Jie Huang, Zuoyong Li, Peipeng Liang:
Learning Brain Connectivity Sub-networks by Group- Constrained Sparse Inverse Covariance Estimation for Alzheimer's Disease Classification. Frontiers Neuroinformatics 12: 58 (2018) - 2017
- [c2]Yang Li, Jingyu Liu
, Mei-Lin Luo, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen:
Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification. MLMI@MICCAI 2017: 299-306 - [c1]Yang Li, Jingyu Liu
, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen:
Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification. MLMI@MICCAI 2017: 307-315
Coauthor Index
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last updated on 2024-09-02 20:27 CEST by the dblp team
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