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Zhenchao Tang
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2020 – today
- 2024
- [j9]Jiehui Huang, Lishan Lin, Fengcheng Yu, Xuedong He, Wenhui Song, Jiaying Lin, Zhenchao Tang, Kang Yuan, Yucheng Li, Haofan Huang, Zhong Pei, Wenbiao Xian, Calvin Yu-Chian Chen:
Parkinson's severity diagnosis explainable model based on 3D multi-head attention residual network. Comput. Biol. Medicine 170: 107959 (2024) - [j8]Jiehui Huang, Zhenchao Tang, Xuedong He, Jun Zhou, Defeng Zhou, Calvin Yu-Chian Chen:
Progressive network based on detail scaling and texture extraction: A more general framework for image deraining. Neurocomputing 568: 127066 (2024) - [j7]Jiehui Huang, Jun Zhou, Zhenchao Tang, Jiaying Lin, Calvin Yu-Chian Chen:
TMBL: Transformer-based multimodal binding learning model for multimodal sentiment analysis. Knowl. Based Syst. 285: 111346 (2024) - [j6]Shouzhi Chen, Zhenchao Tang, Linlin You, Calvin Yu-Chian Chen:
A knowledge distillation-guided equivariant graph neural network for improving protein interaction site prediction performance. Knowl. Based Syst. 300: 112209 (2024) - [j5]Yanjun Liu, Guanghui Li, Jiaqian Li, Zhenchao Tang, Yu An, Jie Tian:
Space-Specific Mixing Excitation for High-SNR Spatial Encoding in Magnetic Particle Imaging. IEEE Trans. Biomed. Eng. 71(10): 2889-2899 (2024) - [j4]Zhenchao Tang, Guanxing Chen, Hualin Yang, Weihe Zhong, Calvin Yu-Chian Chen:
DSIL-DDI: A Domain-Invariant Substructure Interaction Learning for Generalizable Drug-Drug Interaction Prediction. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10552-10560 (2024) - [c12]Zhenchao Tang, Jiehui Huang, Guanxing Chen, Calvin Yu-Chian Chen:
Comprehensive View Embedding Learning for Single-Cell Multimodal Integration. AAAI 2024: 15292-15300 - 2023
- [c11]Zhenchao Tang, Hualin Yang, Calvin Yu-Chian Chen:
Weakly Supervised Posture Mining for Fine-Grained Classification. CVPR 2023: 23735-23744 - [i1]Guian Fang, Mengsha Liu, Yi Zhong, Zhuolin Zhang, Jiehui Huang, Zhenchao Tang, Calvin Yu-Chian Chen:
Multimodal Identification of Alzheimer's Disease: A Review. CoRR abs/2311.12842 (2023) - 2022
- [j3]Zhenchao Tang, Calvin Yu-Chian Chen, Chengzhen Jiang, Dongying Zhang, Weiran Luo, Zhiming Hong, Huaiwei Sun:
Capsule-Encoder-Decoder: A Method for Generalizable Building Extraction from Remote Sensing Images. Remote. Sens. 14(5): 1235 (2022) - 2021
- [c10]Meiqing Pan, Hui Zhang, Zhenchao Tang, Yinghua Zhao, Jie Tian:
Attention-Based Multi-Scale Generative Adversarial Network for synthesizing contrast-enhanced MRI. EMBC 2021: 3650-3653 - [c9]Meiqing Pan, Zhenchao Tang, Sirui Fu, Wei Mu, Jie Zhang, Xiaoqun Li, Hui Zhang, Ligong Lu, Jie Tian:
Deep learning-based aggressive progression prediction from CT images of hepatocellular carcinoma. Computer-Aided Diagnosis 2021
2010 – 2019
- 2019
- [j2]Zhenyu Liu, Jiangang Liu, Huijuan Yuan, Taiyuan Liu, Xingwei Cui, Zhenchao Tang, Yang Du, Meiyun Wang, Yusong Lin, Jie Tian:
Identification of Cognitive Dysfunction in Patients with T2DM Using Whole Brain Functional Connectivity. Genom. Proteom. Bioinform. 17(4): 441-452 (2019) - 2018
- [j1]Huizhong Ji, Yusen Li, Enqing Dong, Peng Xue, Wenshuo Xiong, Wenyan Sun, Zhenchao Tang, Dejing Zhang, Wei Fang:
A non-rigid image registration method based on multi-level B-spline and L2-regularization. Signal Image Video Process. 12(6): 1217-1225 (2018) - [c8]Wei Wei, Ke Wang, Kaibing Tian, Zhenyu Liu, Liang Wang, Junting Zhang, Zhenchao Tang, Shuo Wang, Di Dong, Yali Zang, Yuan Gao, Zhen Wu, Jie Tian:
A Novel MRI-Based Radiomics Model for Predicting Recurrence in Chordoma. EMBC 2018: 139-142 - [c7]Shuo Wang, Zhenyu Liu, Xi Chen, Yongbei Zhu, Hongyu Zhou, Zhenchao Tang, Wei Wei, Di Dong, Meiyun Wang, Jie Tian:
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis. EMBC 2018: 2583-2586 - [c6]Wei Wei, Yu Rong, Zhenyu Liu, Bin Zhou, Zhenchao Tang, Shuo Wang, Di Dong, Yali Zang, Yingkun Guo:
Radiomics: a Novel CT-Based Method of Predicting Postoperative Recurrence in Ovarian Cancer. EMBC 2018: 4130-4133 - [c5]Zhenchao Tang, Zhenyu Liu, Xiaoyan Zhang, Yanjie Shi, Shou Wang, Mengjie Fang, Yingshi Sun, Enqing Dong, Jie Tian:
Radiomics analysis of DWI data to identify the rectal cancer patients qualified for local excision after neoadjuvant chemoradiotherapy. Computer-Aided Diagnosis 2018: 1057514 - 2017
- [c4]Shuo Wang, Mu Zhou, Olivier Gevaert, Zhenchao Tang, Di Dong, Zhenyu Liu, Jie Tian:
A multi-view deep convolutional neural networks for lung nodule segmentation. EMBC 2017: 1752-1755 - [c3]Zhenyu Liu, Xingwei Cui, Zhenchao Tang, Di Dong, Yali Zang, Jie Tian:
Identifying cognitive impairment in type 2 diabetes with functional connectivity: a multivariate pattern analysis of resting state fMRI data. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101370N - [c2]Zhenchao Tang, Zhenyu Liu, Ruili Li, Xinwei Cui, Hongjun Li, Enqing Dong, Jie Tian:
A multivariate pattern analysis study of the HIV-related white matter anatomical structural connections alterations. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101370P - 2016
- [c1]Zhenchao Tang, Peng Xue, Pei Yang, Dayu Jia, Enqing Dong:
An Effective Non-rigid Image Registration Method Based on Active Demons Algorithm. CBMS 2016: 124-129
Coauthor Index
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last updated on 2024-11-28 21:23 CET by the dblp team
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