Jingyu Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Functional Connectivity

Vessel Segmentation

Top Venues

IEEE Trans. Medical Imaging

Comput. Biol. Medicine

IEEE Trans. Cybern.

Publications

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 (2024)
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 (2024)
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) (2024)
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) (2024)
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) (2024)
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) (2023)
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) (2023)
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) (2022)
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) (2020)
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) (2020)
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) (2019)
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 (2019)
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)
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 (2018)
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)
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)