An Effective Non-rigid Image Registration Method Based on Active Demons Algorithm. - Zhenchao Tang; Peng Xue; Pei Yang; Dayu Jia; Enqing Dong (CBMS, 2016)

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 001 (EMBC, 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 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 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 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis. - Shuo Wang; Zhenyu Liu; Xi Chen 102; Yongbei Zhu; Hongyu Zhou; Zhenchao Tang; Wei Wei 022; Di Dong; Meiyun Wang; Jie Tian 001 (EMBC, 2018)

Radiomics: a Novel CT-Based Method of Predicting Postoperative Recurrence in Ovarian Cancer. - Wei Wei 022; Yu Rong; Zhenyu Liu; Bin Zhou; Zhenchao Tang; Shuo Wang; Di Dong; Yali Zang; Yingkun Guo (EMBC, 2018)

A Novel MRI-Based Radiomics Model for Predicting Recurrence in Chordoma. - Wei Wei 022; Ke Wang; Kaibing Tian; Zhenyu Liu; Liang Wang; Junting Zhang; Zhenchao Tang; Shuo Wang; Di Dong; Yali Zang; Yuan Gao 009; Zhen Wu; et al. (EMBC, 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 001 (Computer-Aided Diagnosis, 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)

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 001 (Genom. Proteom. Bioinform., 2019)

Attention-Based Multi-Scale Generative Adversarial Network for synthesizing contrast-enhanced MRI. - Meiqing Pan; Hui Zhang; Zhenchao Tang; Yinghua Zhao; Jie Tian 001 (EMBC, 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 001 (Computer-Aided Diagnosis, 2021)

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)

Weakly Supervised Posture Mining for Fine-Grained Classification. - Zhenchao Tang; Hualin Yang; Calvin Yu-Chian Chen (CVPR, 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)

Comprehensive View Embedding Learning for Single-Cell Multimodal Integration. - Zhenchao Tang; Jiehui Huang; Guanxing Chen; Calvin Yu-Chian Chen (AAAI, 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)

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)

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, 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; et al. (Comput. Biol. Medicine, 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., 2024)

Space-Specific Mixing Excitation for High-SNR Spatial Encoding in Magnetic Particle Imaging. - Yanjun Liu 006; Guanghui Li 006; Jiaqian Li; Zhenchao Tang; Yu An; Jie Tian 001 (IEEE Trans. Biomed. Eng., 2024)

DUSTED: Dual-Attention Enhanced Spatial Transcriptomics Denoiser. - Jun Zhu; Yifu Li; Zhenchao Tang; Cheng Chang (AAAI, 2025)

Dual modality feature fused neural network integrating binding site information for drug target affinity prediction. - Haohuai He; Guanxing Chen; Zhenchao Tang; Calvin Yu-Chian Chen (npj Digit. Medicine, 2025)

U-N2C: A Dual Memory-Guided Disentanglement Framework for Unsupervised System Matrix Denoising in Magnetic Particle Imaging. - Wenxuan Zou; Gen Shi; Siao Lei; Guanghui Li 006; Guangxing Zhou; Yang Jing; Jie He; Zhenchao Tang; Yu An; Jie Tian 001 (IEEE Trans. Image Process., 2025)

Modal-NexT: Towards unified heterogeneous cellular data integration. - Zhenchao Tang; Guanxing Chen; Shouzhi Chen; Haohuai He; Jiehui Huang; Tiejun Dong; Jun Zhou; Lu Zhao; Linlin You; Calvin Yu-Chian Chen (Inf. Fusion, 2026)