Zhenchao Tang

According to our database, Zhenchao Tang authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Space-Specific Mixing Excitation for High-SNR Spatial Encoding in Magnetic Particle Imaging.

Yanjun Liu, Guanghui Li, Jiaqian Li, Zhenchao Tang, Yu An, Jie Tian

IEEE Trans. Biomed. Eng., October, 2024

DSIL-DDI: A Domain-Invariant Substructure Interaction Learning for Generalizable Drug-Drug Interaction Prediction.

Zhenchao Tang, Guanxing Chen, Hualin Yang, Weihe Zhong, Calvin Yu-Chian Chen

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Parkinson's severity diagnosis explainable model based on 3D multi-head attention residual network.

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

Comput. Biol. Medicine, March, 2024

Progressive network based on detail scaling and texture extraction: A more general framework for image deraining.

Jiehui Huang, Zhenchao Tang, Xuedong He, Jun Zhou, Defeng Zhou, Calvin Yu-Chian Chen

Neurocomputing, February, 2024

TMBL: Transformer-based multimodal binding learning model for multimodal sentiment analysis.

Jiehui Huang, Jun Zhou, Zhenchao Tang, Jiaying Lin, Calvin Yu-Chian Chen

Knowl. Based Syst., 2024

A knowledge distillation-guided equivariant graph neural network for improving protein interaction site prediction performance.

Shouzhi Chen, Zhenchao Tang, Linlin You, Calvin Yu-Chian Chen

Knowl. Based Syst., 2024

Comprehensive View Embedding Learning for Single-Cell Multimodal Integration.

Zhenchao Tang, Jiehui Huang, Guanxing Chen, Calvin Yu-Chian Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multimodal Identification of Alzheimer's Disease: A Review.

Guian Fang, Mengsha Liu, Yi Zhong, Zhuolin Zhang, Jiehui Huang, Zhenchao Tang, Calvin Yu-Chian Chen

CoRR, 2023

Weakly Supervised Posture Mining for Fine-Grained Classification.

Zhenchao Tang, Hualin Yang, Calvin Yu-Chian Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Capsule-Encoder-Decoder: A Method for Generalizable Building Extraction from Remote Sensing Images.

Zhenchao Tang, Calvin Yu-Chian Chen, Chengzhen Jiang, Dongying Zhang, Weiran Luo, Zhiming Hong, Huaiwei Sun

Remote. Sens., 2022

2021

Deep learning-based aggressive progression prediction from CT images of hepatocellular carcinoma.

Meiqing Pan, Zhenchao Tang, Sirui Fu, Wei Mu, Jie Zhang, Xiaoqun Li, Hui Zhang, Ligong Lu, Jie Tian

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Attention-Based Multi-Scale Generative Adversarial Network for synthesizing contrast-enhanced MRI.

Meiqing Pan, Hui Zhang, Zhenchao Tang, Yinghua Zhao, Jie Tian

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019

Identification of Cognitive Dysfunction in Patients with T2DM Using Whole Brain Functional Connectivity.

Zhenyu Liu, Jiangang Liu, Huijuan Yuan, Taiyuan Liu, Xingwei Cui, Zhenchao Tang, Yang Du, Meiyun Wang, Yusong Lin, Jie Tian

Genom. Proteom. Bioinform., 2019

2018

A non-rigid image registration method based on multi-level B-spline and L2-regularization.

Huizhong Ji, Yusen Li, Enqing Dong, Peng Xue, Wenshuo Xiong, Wenyan Sun, Zhenchao Tang, Dejing Zhang, Wei Fang

Signal Image Video Process., 2018

Radiomics analysis of DWI data to identify the rectal cancer patients qualified for local excision after neoadjuvant chemoradiotherapy.

Zhenchao Tang, Zhenyu Liu, Xiaoyan Zhang, Yanjie Shi, Shou Wang, Mengjie Fang, Yingshi Sun, Enqing Dong, Jie Tian

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

A Novel MRI-Based Radiomics Model for Predicting Recurrence in Chordoma.

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

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Radiomics: a Novel CT-Based Method of Predicting Postoperative Recurrence in Ovarian Cancer.

Wei Wei, Yu Rong, Zhenyu Liu, Bin Zhou, Zhenchao Tang, Shuo Wang, Di Dong, Yali Zang, Yingkun Guo

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis.

Shuo Wang, Zhenyu Liu, Xi Chen, Yongbei Zhu, Hongyu Zhou, Zhenchao Tang, Wei Wei, Di Dong, Meiyun Wang, Jie Tian

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

A multivariate pattern analysis study of the HIV-related white matter anatomical structural connections alterations.

Zhenchao Tang, Zhenyu Liu, Ruili Li, Xinwei Cui, Hongjun Li, Enqing Dong, Jie Tian

Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

Identifying cognitive impairment in type 2 diabetes with functional connectivity: a multivariate pattern analysis of resting state fMRI data.

Zhenyu Liu, Xingwei Cui, Zhenchao Tang, Di Dong, Yali Zang, Jie Tian

Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

A multi-view deep convolutional neural networks for lung nodule segmentation.

Shuo Wang, Mu Zhou, Olivier Gevaert, Zhenchao Tang, Di Dong, Zhenyu Liu, Jie Tian

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

An Effective Non-rigid Image Registration Method Based on Active Demons Algorithm.

Zhenchao Tang, Peng Xue, Pei Yang, Dayu Jia, Enqing Dong

Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016