Multi-Atlas Segmentation of MR Tumor Brain Images Using Low-Rank Based Image Recovery. - Zhenyu Tang 002; Sahar Ahmad; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 2018)

Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype. - Zhenyu Tang 002; Yuyun Xu; Zhicheng Jiao; Junfeng Lu; Lei Jin 006; Abudumijiti Aibaidula; Jinsong Wu 002; Qian Wang 001; Han Zhang 002; Dinggang Shen (MICCAI (1), 2019)

A New Image Similarity Metric for Improving Deformation Consistency in Graph-Based Groupwise Image Registration. - Zhenyu Tang 002; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Biomed. Eng., 2019)

A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases. - Zhenyu Tang 002; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Image Process., 2019)

Multi-scale Hierarchy Feature Fusion Generative Adversarial Network for Low-Dose CT Denoising. - Ying Bai; Haifeng Zhao 001; Shaojie Zhang 002; Dong Nie; Zhenyu Tang 002 (ICBBS, 2020)

Two-stage Generative Adversarial Recovery Network for MR Brain Images Containing Tumors. - Meng Kong; Haifeng Zhao 001; Shaojie Zhang 002; Zhenyu Tang 002 (ICBBS, 2020)

Brain Image Parcellation Using Fully Convolutional Network with Adaptively Selected Features from Brain Atlases. - Xiao Zhang; Haifeng Zhao 001; Zhenyu Tang 002; Shaojie Zhang 002 (ICBBS, 2020)

Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images. - Zhenyu Tang 002; Wei Zhao 040; Xingzhi Xie; Zheng Zhong; Feng Shi 001; Jun Liu 075; Dinggang Shen (CoRR, 2020)

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. - Feng Shi 001; Jun Wang 024; Jun Shi 004; Ziyan Wu 001; Qian Wang 001; Zhenyu Tang 002; Kelei He; Yinghuan Shi; Dinggang Shen (CoRR, 2020)

Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images. - Kelei He; Wei Zhao 040; Xingzhi Xie; Wen Ji; Mingxia Liu 001; Zhenyu Tang 002; Feng Shi 001; Yang Gao 001; Jun Liu 075; Junfeng Zhang; Dinggang Shen (CoRR, 2020)

Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks. - Zhenyu Tang 002; Xianli Liu; Yang Li 010; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Image Process., 2020)

Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification. - Yang Li 010; Jingyu Liu 002; Zhenyu Tang 002; Baiying Lei (IEEE Trans. Medical Imaging, 2020)

Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients. - Zhenyu Tang 002; Yuyun Xu; Lei Jin 006; Abudumijiti Aibaidula; Junfeng Lu; Zhicheng Jiao; Jinsong Wu 002; Han Zhang 002; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images. - Kelei He; Wei Zhao 040; Xingzhi Xie; Wen Ji; Mingxia Liu 001; Zhenyu Tang 002; Yinghuan Shi; Feng Shi 001; Yang Gao 001; Jun Liu 075; Junfeng Zhang; Dinggang Shen (Pattern Recognit., 2021)

Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation. - Yuyan Ge; Zhenyu Tang 002; Lei Ma 006; Caiwen Jiang; Feng Shi 001; Shaoyi Du; Dinggang Shen (MLMI@MICCAI, 2022)

Multimodal Brain Tumor Segmentation Using Contrastive Learning Based Feature Comparison with Monomodal Normal Brain Images. - Huabing Liu; Dong Ni 001; Dinggang Shen; Jinda Wang; Zhenyu Tang 002 (MICCAI (5), 2022)

Editorial: Weakly supervised deep learning-based methods for brain image analysis. - Hancan Zhu; Mingxia Liu 001; Zhenyu Tang 002; Shuai Wang 003 (Frontiers Neuroinformatics, 2022)

Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping. - Zhenyu Tang 002; Zhenyu Zhang; Huabing Liu; Dong Ni 001; Jing Yan (MICCAI (4), 2023)

Multimodal Brain Tumor Segmentation Boosted by Monomodal Normal Brain Images. - Huabing Liu; Zhengze Ni; Dong Nie; Dinggang Shen; Jinda Wang; Zhenyu Tang 002 (IEEE Trans. Image Process., 2024)

A New Multi-Atlas Based Deep Learning Segmentation Framework With Differentiable Atlas Feature Warping. - Huabing Liu; Dong Nie; Jian Yang 009; Jinda Wang; Zhenyu Tang 002 (IEEE J. Biomed. Health Informatics, 2024)

Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation. - Libiao Chen; Dong Nie; Junjun Pan; Jing Yan; Zhenyu Tang 002 (CVPR, 2025)

Pre-Operative Overall Survival Prediction of Diffuse Glioma Enhanced by Longitudinal Data. - Zhenyu Tang 002; Jiannan Li; Jingliang Cheng; Zhicheng Li 001; Zhenyu Zhang; Jing Yan (IEEE J. Biomed. Health Informatics, 2025)