Chen Zu

According to our database, Chen Zu authored at least 44 papers between 2012 and 2024.

Collaborative distances:

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

2024

3D multi-modality Transformer-GAN for high-quality PET reconstruction.

Yan Wang, Yanmei Luo, Chen Zu, Bo Zhan, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou

Medical Image Anal., January, 2024

Exploring Domain-Invariant Feature Space for Unsupervised Cross-Domain Facial Expression Recognition via Diffusion Model.

Yujie Yang, Hanci Zheng, Yuanyuan Xu, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang

IEEE Trans. Instrum. Meas., 2024

CL-TransFER: Collaborative learning based transformer for facial expression recognition with masked reconstruction.

Yujie Yang, Lin Hu, Chen Zu, Jianjia Zhang, Yun Hou, Ying Chen, Jiliu Zhou, Luping Zhou, Yan Wang

Pattern Recognit., 2024

Source-free domain adaptation via dynamic pseudo labeling and Self-supervision.

Qiankun Ma, Jie Zeng, Jianjia Zhang, Chen Zu, Xi Wu, Jiliu Zhou, Jie Chen, Yan Wang

Pattern Recognit., 2024

2023

Multi-level progressive transfer learning for cervical cancer dose prediction.

Lu Wen, Jianghong Xiao, Jie Zeng, Chen Zu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang

Pattern Recognit., September, 2023

Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation.

Yuang Shi, Chen Zu, Pinli Yang, Shuai Tan, Hongping Ren, Xi Wu, Jiliu Zhou, Yan Wang

Knowl. Based Syst., 2023

Facial Expression Recognition with Contrastive Learning and Uncertainty-Guided Relabeling.

Yujie Yang, Lin Hu, Chen Zu, Qizheng Zhou, Xi Wu, Jiliu Zhou, Yan Wang

Int. J. Neural Syst., 2023

2022

ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease.

Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang

Pattern Recognit., 2022

Multi-constraint generative adversarial network for dose prediction in radiotherapy.

Bo Zhan, Jianghong Xiao, Chongyang Cao, Xingchen Peng, Chen Zu, Jiliu Zhou, Yan Wang

Medical Image Anal., 2022

Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning.

Kaiping Wang, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang

Medical Image Anal., 2022

Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction.

Huidong Li, Xingchen Peng, Jie Zeng, Jianghong Xiao, Dong Nie, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang

Knowl. Based Syst., 2022

Semi-supervised NPC segmentation with uncertainty and attention guided consistency.

Lin Hu, Jiaxin Li, Xingchen Peng, Jianghong Xiao, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang

Knowl. Based Syst., 2022

An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation.

Kaiping Wang, Yan Wang, Bo Zhan, Yujie Yang, Chen Zu, Xi Wu, Jiliu Zhou, Dong Nie, Luping Zhou

Int. J. Neural Syst., 2022

Multi-transSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients.

Hanci Zheng, Zongying Lin, Qizheng Zhou, Xingchen Peng, Jianghong Xiao, Chen Zu, Zhengyang Jiao, Yan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction.

Pinxian Zeng, Luping Zhou, Chen Zu, Xinyi Zeng, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization.

Yuchen Fei, Chen Zu, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Two-Phase Progressive Deep Transfer Learning for Cervical Cancer Dose Map Prediction.

Jie Zeng, Chongyang Cao, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images.

Pin Tang, Chen Zu, Mei Hong, Rui Yan, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang

Neurocomputing, 2021

Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation.

Kaiping Wang, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy.

Shuai Tan, Pin Tang, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Coarse-To-Fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy.

Qiankun Ma, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

3D Transformer-GAN for High-Quality PET Reconstruction.

Yanmei Luo, Yan Wang, Chen Zu, Bo Zhan, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease.

Wei Shao, Yao Peng, Chen Zu, Mingliang Wang, Daoqiang Zhang

Comput. Medical Imaging Graph., 2020

2019

3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis.

Yan Wang, Luping Zhou, Biting Yu, Lei Wang, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen

IEEE Trans. Medical Imaging, 2019

Weight-based canonical sparse cross-view correlation analysis.

Changming Zhu, Rigui Zhou, Chen Zu

Pattern Anal. Appl., 2019

Patch-wise label propagation for MR brain segmentation based on multi-atlas images.

Yan Wang, Chen Zu, Zongqing Ma, Yong Luo, Kun He, Xi Wu, Jiliu Zhou

Multim. Syst., 2019

Reliability-based robust multi-atlas label fusion for brain MRI segmentation.

Liang Sun, Chen Zu, Wei Shao, Junye Guang, Daoqiang Zhang, Mingxia Liu

Artif. Intell. Medicine, 2019

2018

Automatic Tumor Segmentation with Deep Convolutional Neural Networks for Radiotherapy Applications.

Yan Wang, Chen Zu, Guangliang Hu, Yong Luo, Zongqing Ma, Kun He, Xi Wu, Jiliu Zhou

Neural Process. Lett., 2018

3D conditional generative adversarial networks for high-quality PET image estimation at low dose.

Yan Wang, Biting Yu, Lei Wang, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou

NeuroImage, 2018

Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis.

Yan Wang, Luping Zhou, Lei Wang, Biting Yu, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease.

Chen Zu, Yan Wang, Luping Zhou, Lei Wang, Daoqiang Zhang

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Tumor segmentation via multi-modality joint dictionary learning.

Yan Wang, Biting Yu, Lei Wang, Chen Zu, Yong Luo, Xi Wu, Zhipeng Yang, Jiliu Zhou, Luping Zhou

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Robust multi-atlas label propagation by deep sparse representation.

Chen Zu, Zhengxia Wang, Daoqiang Zhang, Peipeng Liang, Yonghong Shi, Dinggang Shen, Guorong Wu

Pattern Recognit., 2017

Iterative sparsity score for feature selection and its extension for multimodal data.

Chen Zu, Linling Zhu, Daoqiang Zhang

Neurocomputing, 2017

Margin Distribution Logistic Machine.

Yi Ding, Sheng-Jun Huang, Chen Zu, Daoqiang Zhang

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2016

Canonical sparse cross-view correlation analysis.

Chen Zu, Daoqiang Zhang

Neurocomputing, 2016

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph.

Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Zi-Wen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease.

Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification.

Tingting Ye, Chen Zu, Biao Jie, Dinggang Shen, Daoqiang Zhang

Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation.

Liang Sun, Chen Zu, Daoqiang Zhang

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

2014

Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease.

Chen Zu, Biao Jie, Songcan Chen, Daoqiang Zhang

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

The New Graph Kernels on Connectivity Networks for Identification of MCI.

Biao Jie, Xi Jiang, Chen Zu, Daoqiang Zhang

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

2013

Learning mid-perpendicular hyperplane similarity from cannot-link constraints.

Shan Gao, Chen Zu, Daoqiang Zhang

Neurocomputing, 2013

2012

Sparsity Preserving Canonical Correlation Analysis.

Chen Zu, Daoqiang Zhang

Proceedings of the Pattern Recognition - Chinese Conference, 2012