Chen Zu

50 papers A 1Journal 31Unranked 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adaptive Hardness-Driven Augmentation and Alignment Strategies for Multisource Domain Adaptations.
IEEE Trans. Neural Networks Learn. Syst.
Yuxiang Yang, Xinyi Zeng, Pinxian Zeng, Chen Zu, Binyu Yan, Jiliu Zhou, Yan Wang
2025 J jnl
Dual-Domain Classification-Aided High-Quality PET Synthesis With Shared Information Maximization.
IEEE Trans Autom. Sci. Eng.
Yuchen Fei, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang, Dinggang Shen
2025 J jnl
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-Supervised Medical Image Classification.
IEEE Trans. Emerg. Top. Comput. Intell.
Qixiang Zhang, Yuxiang Yang, Chen Zu, Jianjia Zhang, Xi Wu, Jiliu Zhou, Yan Wang
2025 J jnl
Multi-Modal Long-Short Distance Attention-Based Transformer-GAN for PET Reconstruction With Auxiliary MRI.
IEEE Trans. Circuits Syst. Video Technol.
Pinxian Zeng, Xinyi Zeng, Yan Wang, Luping Zhou, Chen Zu, Xi Wu, Jiliu Zhou, Dinggang Shen
2024 J jnl
3D multi-modality Transformer-GAN for high-quality PET reconstruction.
Medical Image Anal.
Yan Wang, Yanmei Luo, Chen Zu, Bo Zhan, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou
2024 J jnl
CL-TransFER: Collaborative learning based transformer for facial expression recognition with masked reconstruction.
Pattern Recognit.
Yujie Yang, Lin Hu, Chen Zu, Jianjia Zhang, Yun Hou, Ying Chen, Jiliu Zhou, Luping Zhou, Yan Wang
2024 J jnl
Exploring Domain-Invariant Feature Space for Unsupervised Cross-Domain Facial Expression Recognition via Diffusion Model.
IEEE Trans. Instrum. Meas.
Yujie Yang, Hanci Zheng, Yuanyuan Xu, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang
2024 J jnl
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification.
CoRR
Qixiang Zhang, Yuxiang Yang, Chen Zu, Jianjia Zhang, Xi Wu, Jiliu Zhou, Yan Wang
2024 J jnl
Source-free domain adaptation via dynamic pseudo labeling and Self-supervision.
Pattern Recognit.
Qiankun Ma, Jie Zeng, Jianjia Zhang, Chen Zu, Xi Wu, Jiliu Zhou, Jie Chen, Yan Wang
2023 J jnl
Facial Expression Recognition with Contrastive Learning and Uncertainty-Guided Relabeling.
Int. J. Neural Syst.
Yujie Yang, Lin Hu, Chen Zu, Qizheng Zhou, Xi Wu, Jiliu Zhou, Yan Wang
2023 J jnl
Multi-level progressive transfer learning for cervical cancer dose prediction.
Pattern Recognit.
Lu Wen, Jianghong Xiao, Jie Zeng, Chen Zu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang
2023 J jnl
Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation.
Knowl. Based Syst.
Yuang Shi, Chen Zu, Pinli Yang, Shuai Tan, Hongping Ren, Xi Wu, Jiliu Zhou, Yan Wang
2022 — conf
3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction.
MICCAI (6)
Pinxian Zeng, Luping Zhou, Chen Zu, Xinyi Zeng, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang
2022 J jnl
ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease.
Pattern Recognit.
Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang
2022 J jnl
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation.
Int. J. Neural Syst.
Kaiping Wang, Yan Wang, Bo Zhan, Yujie Yang, Chen Zu, Xi Wu, Jiliu Zhou, Dong Nie, Luping Zhou
2022 — conf
Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization.
MICCAI (6)
Yuchen Fei, Chen Zu, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang
2022 J jnl
Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction.
Knowl. Based Syst.
Huidong Li, Xingchen Peng, Jie Zeng, Jianghong Xiao, Dong Nie, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang
2022 J jnl
Multi-constraint generative adversarial network for dose prediction in radiotherapy.
Medical Image Anal.
Bo Zhan, Jianghong Xiao, Chongyang Cao, Xingchen Peng, Chen Zu, Jiliu Zhou, Yan Wang
2022 — conf
Multi-transSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients.
MICCAI (8)
Hanci Zheng, Zongying Lin, Qizheng Zhou, Xingchen Peng, Jianghong Xiao, Chen Zu, Zhengyang Jiao, Yan Wang
2022 J jnl
Semi-supervised NPC segmentation with uncertainty and attention guided consistency.
Knowl. Based Syst.
Lin Hu, Jiaxin Li, Xingchen Peng, Jianghong Xiao, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang
2022 J jnl
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning.
Medical Image Anal.
Kaiping Wang, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang
2022 — conf
Two-Phase Progressive Deep Transfer Learning for Cervical Cancer Dose Map Prediction.
ISBI
Jie Zeng, Chongyang Cao, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang
2021 — conf
3D Transformer-GAN for High-Quality PET Reconstruction.
MICCAI (6)
Yanmei Luo, Yan Wang, Chen Zu, Bo Zhan, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou
2021 — conf
Coarse-To-Fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy.
MICCAI (1)
Qiankun Ma, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang
2021 J jnl
DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images.
Neurocomputing
Pin Tang, Chen Zu, Mei Hong, Rui Yan, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang
2021 — conf
Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy.
MICCAI (7)
Shuai Tan, Pin Tang, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang
2021 — conf
Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation.
MICCAI (2)
Kaiping Wang, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang
2020 J jnl
ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease.
CoRR
Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang
2020 J jnl
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease.
Comput. Medical Imaging Graph.
Wei Shao, Yao Peng, Chen Zu, Mingliang Wang, Daoqiang Zhang
2019 J jnl
3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis.
IEEE Trans. Medical Imaging
Yan Wang, Luping Zhou, Biting Yu, Lei Wang, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen
2019 J jnl
Patch-wise label propagation for MR brain segmentation based on multi-atlas images.
Multim. Syst.
Yan Wang, Chen Zu, Zongqing Ma, Yong Luo, Kun He, Xi Wu, Jiliu Zhou
2019 J jnl
Reliability-based robust multi-atlas label fusion for brain MRI segmentation.
Artif. Intell. Medicine
Liang Sun, Chen Zu, Wei Shao, Junye Guang, Daoqiang Zhang, Mingxia Liu
2019 J jnl
Weight-based canonical sparse cross-view correlation analysis.
Pattern Anal. Appl.
Changming Zhu, Rigui Zhou, Chen Zu
2018 J jnl
3D conditional generative adversarial networks for high-quality PET image estimation at low dose.
NeuroImage
Yan Wang, Biting Yu, Lei Wang, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou
2018 J jnl
Automatic Tumor Segmentation with Deep Convolutional Neural Networks for Radiotherapy Applications.
Neural Process. Lett.
Yan Wang, Chen Zu, Guangliang Hu, Yong Luo, Zongqing Ma, Kun He, Xi Wu, Jiliu Zhou
2018 — conf
Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis.
MICCAI (1)
Yan Wang, Luping Zhou, Lei Wang, Biting Yu, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen
2018 — conf
Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease.
ISBI
Chen Zu, Yan Wang, Luping Zhou, Lei Wang, Daoqiang Zhang
2018 — conf
Tumor segmentation via multi-modality joint dictionary learning.
ISBI
Yan Wang, Biting Yu, Lei Wang, Chen Zu, Yong Luo, Xi Wu, Zhipeng Yang, Jiliu Zhou, Luping Zhou
2017 J jnl
Iterative sparsity score for feature selection and its extension for multimodal data.
Neurocomputing
Chen Zu, Linling Zhu, Daoqiang Zhang
2017 A conf
Margin Distribution Logistic Machine.
SDM
Yi Ding, Sheng-Jun Huang, Chen Zu, Daoqiang Zhang
2017 J jnl
Robust multi-atlas label propagation by deep sparse representation.
Pattern Recognit.
Chen Zu, Zhengxia Wang, Daoqiang Zhang, Peipeng Liang, Yonghong Shi, Dinggang Shen, Guorong Wu
2016 J jnl
Canonical sparse cross-view correlation analysis.
Neurocomputing
Chen Zu, Daoqiang Zhang
2016 — conf
Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph.
MLMI@MICCAI
Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Zi-Wen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu
2016 — conf
Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease.
MICCAI (1)
Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu
2015 — conf
Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification.
PRNI
Tingting Ye, Chen Zu, Biao Jie, Dinggang Shen, Daoqiang Zhang
2015 — conf
Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation.
Patch-MI@MICCAI
Liang Sun, Chen Zu, Daoqiang Zhang
2014 — conf
Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease.
MLINI@NIPS
Chen Zu, Biao Jie, Songcan Chen, Daoqiang Zhang
2014 — conf
The New Graph Kernels on Connectivity Networks for Identification of MCI.
MLINI@NIPS
Biao Jie, Xi Jiang, Chen Zu, Daoqiang Zhang
2013 J jnl
Learning mid-perpendicular hyperplane similarity from cannot-link constraints.
Neurocomputing
Shan Gao, Chen Zu, Daoqiang Zhang
2012 — conf
Sparsity Preserving Canonical Correlation Analysis.
CCPR
Chen Zu, Daoqiang Zhang