Zhenyu Tang

23 papers A* 1Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2025 A* conf
Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation.
CVPR
Libiao Chen, Dong Nie, Junjun Pan, Jing Yan, Zhenyu Tang
2025 — conf
Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-supervised Segmentation.
MICCAI (8)
Ziman Yin, Dong Nie, Shuo Li, Junjun Pan, Zhenyu Tang
2025 J jnl
Pre-Operative Overall Survival Prediction of Diffuse Glioma Enhanced by Longitudinal Data.
IEEE J. Biomed. Health Informatics
Zhenyu Tang, Jiannan Li, Jingliang Cheng, Zhicheng Li, Zhenyu Zhang, Jing Yan
2024 J jnl
A New Multi-Atlas Based Deep Learning Segmentation Framework With Differentiable Atlas Feature Warping.
IEEE J. Biomed. Health Informatics
Huabing Liu, Dong Nie, Jian Yang, Jinda Wang, Zhenyu Tang
2024 J jnl
Multimodal Brain Tumor Segmentation Boosted by Monomodal Normal Brain Images.
IEEE Trans. Image Process.
Huabing Liu, Zhengze Ni, Dong Nie, Dinggang Shen, Jinda Wang, Zhenyu Tang
2023 — conf
Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping.
MICCAI (4)
Zhenyu Tang, Zhenyu Zhang, Huabing Liu, Dong Ni, Jing Yan
2022 J jnl
Editorial: Weakly supervised deep learning-based methods for brain image analysis.
Frontiers Neuroinformatics
Hancan Zhu, Mingxia Liu, Zhenyu Tang, Shuai Wang
2022 — conf
Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation.
MLMI@MICCAI
Yuyan Ge, Zhenyu Tang, Lei Ma, Caiwen Jiang, Feng Shi, Shaoyi Du, Dinggang Shen
2022 — conf
Multimodal Brain Tumor Segmentation Using Contrastive Learning Based Feature Comparison with Monomodal Normal Brain Images.
MICCAI (5)
Huabing Liu, Dong Ni, Dinggang Shen, Jinda Wang, Zhenyu Tang
2021 J jnl
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images.
Pattern Recognit.
Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen
2020 — conf
Brain Image Parcellation Using Fully Convolutional Network with Adaptively Selected Features from Brain Atlases.
ICBBS
Xiao Zhang, Haifeng Zhao, Zhenyu Tang, Shaojie Zhang
2020 J jnl
Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients.
IEEE Trans. Medical Imaging
Zhenyu Tang, Yuyun Xu, Lei Jin, Abudumijiti Aibaidula, Junfeng Lu, Zhicheng Jiao, Jinsong Wu, Han Zhang, Dinggang Shen
2020 J jnl
Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification.
IEEE Trans. Medical Imaging
Yang Li, Jingyu Liu, Zhenyu Tang, Baiying Lei
2020 J jnl
Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks.
IEEE Trans. Image Process.
Zhenyu Tang, Xianli Liu, Yang Li, Pew-Thian Yap, Dinggang Shen
2020 — conf
Multi-scale Hierarchy Feature Fusion Generative Adversarial Network for Low-Dose CT Denoising.
ICBBS
Ying Bai, Haifeng Zhao, Shaojie Zhang, Dong Nie, Zhenyu Tang
2020 J jnl
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19.
CoRR
Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen
2020 J jnl
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images.
CoRR
Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, Dinggang Shen
2020 J jnl
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images.
CoRR
Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen
2020 — conf
Two-stage Generative Adversarial Recovery Network for MR Brain Images Containing Tumors.
ICBBS
Meng Kong, Haifeng Zhao, Shaojie Zhang, Zhenyu Tang
2019 J jnl
A New Image Similarity Metric for Improving Deformation Consistency in Graph-Based Groupwise Image Registration.
IEEE Trans. Biomed. Eng.
Zhenyu Tang, Pew-Thian Yap, Dinggang Shen
2019 J jnl
A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases.
IEEE Trans. Image Process.
Zhenyu Tang, Pew-Thian Yap, Dinggang Shen
2019 — conf
Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype.
MICCAI (1)
Zhenyu Tang, Yuyun Xu, Zhicheng Jiao, Junfeng Lu, Lei Jin, Abudumijiti Aibaidula, Jinsong Wu, Qian Wang, Han Zhang, Dinggang Shen
2018 J jnl
Multi-Atlas Segmentation of MR Tumor Brain Images Using Low-Rank Based Image Recovery.
IEEE Trans. Medical Imaging
Zhenyu Tang, Sahar Ahmad, Pew-Thian Yap, Dinggang Shen