Chen Liu

According to our database, Chen Liu authored at least 23 papers between 2019 and 2024.

Collaborative distances:

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

2024

Lung Nodule Segmentation and Uncertain Region Prediction With an Uncertainty-Aware Attention Mechanism.

Han Yang, Qiuli Wang, Yue Zhang, Zhulin An, Chen Liu, Xiaohong Zhang, S. Kevin Zhou

IEEE Trans. Medical Imaging, April, 2024

Nonlocal Tensor Decomposition With Joint Low Rankness and Smoothness for Spectral CT Image Reconstruction.

Chunyan Liu, Sui Li, Dianlin Hu, Jianjun Wang, Wenjin Qin, Chen Liu, Peng Zhang

IEEE Trans. Computational Imaging, 2024

PredIN: Towards Open-Set Gesture Recognition via Prediction Inconsistency.

Chen Liu, Can Han, Chengfeng Zhou, Crystal Cai, Dahong Qian

CoRR, 2024

2023

Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning.

Chen Liu, Can Han, Chengfeng Zhou, Crystal Cai, Suncheng Xiang, Hualiang Ni, Dahong Qian

CoRR, 2023

Lung Nodule Segmentation and Low-Confidence Region Prediction with Uncertainty-Aware Attention Mechanism.

Han Yang, Qiuli Wang, Yue Zhang, Zhulin An, Chen Liu, Xiaohong Zhang, S. Kevin Zhou

CoRR, 2023

Self-Supervised Arbitrary Scale Super-Resolution Framework for Anisotropic MRI.

Haonan Zhang, Yuhan Zhang, Qing Wu, Jiangjie Wu, Zhiming Zhen, Feng Shi, Jianmin Yuan, Hongjiang Wei, Chen Liu, Yuyao Zhang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation.

Gengxin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen

IEEE Trans. Medical Imaging, 2022

Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window.

Qiuli Wang, Xin Tan, Chen Liu

CoRR, 2022

Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window.

Qiuli Wang, Xin Tan, Lizhuang Ma, Chen Liu

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Dual Space Multiple Instance Representative Learning for Medical Image Classification.

Xiaoxian Zhang, Sheng Huang, Yi Zhang, Xiaohong Zhang, Mingchen Gao, Chen Liu

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Erratum to "Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism".

Qiuli Wang, Xiaohong Zhang, Wei Zhang, Mingchen Gao, Sheng Huang, Jian Wang, Jiuquan Zhang, Dan Yang, Chen Liu

IEEE Trans. Medical Imaging, 2021

Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism.

Qiuli Wang, Xiaohong Zhang, Wei Zhang, Mingchen Gao, Sheng Huang, Jian Wang, Jiuquan Zhang, Dan Yang, Chen Liu

IEEE Trans. Medical Imaging, 2021

iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients.

Jun Wang, Chen Liu, Jingwen Li, Cheng Yuan, Lichi Zhang, Cheng Jin, Jianwei Xu, Yaqi Wang, Yaofeng Wen, Hongbing Lu, Biao Li, Chang Chen, Xiangdong Li, Dinggang Shen, Dahong Qian, Jian Wang

npj Digit. Medicine, 2021

Mmfc: Multi-Modal Fusion Cascade Framework For Covid-19 Disease Course Classification.

Han Yang, Mengke Zhang, Lu Shen, Qiuli Wang, Wanqiu Chen, Chen Liu, Minjian Hong

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

A Probabilistic Model for Segmentation of Ambiguous 3D Lung Nodule.

Xiaojiang Long, Wei Chen, Qiuli Wang, Xiaohong Zhang, Chen Liu, Yucong Li, Jiuquan Zhang

Proceedings of the IEEE International Conference on Acoustics, 2021

Deepnodule: Multi-Task Learning of Segmentation Bootstrap for Pulmonary Nodule Detection.

Jingqin Li, Kun Wang, Dan Yang, Xiaohong Zhang, Chen Liu

Proceedings of the IEEE International Conference on Acoustics, 2021

DFDM: A Deep Feature Decoupling Module for Lung Nodule Segmentation.

Wei Chen, Qiuli Wang, Sheng Huang, Xiaohong Zhang, Yucong Li, Chen Liu

Proceedings of the IEEE International Conference on Acoustics, 2021

C3D-UNET: A Comprehensive 3D Unet for Covid-19 Segmentation with Intact Encoding and Local Attention.

Yiming Bao, Hexiang Zeng, Chengfeng Zhou, Chen Liu, Lichi Zhang, Dahong Qian, Jun Wang, Hongbing Lu

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images.

Jun Wang, Yiming Bao, Yaofeng Wen, Hongbing Lu, Hu Luo, Yunfei Xiang, Xiaoming Li, Chen Liu, Dahong Qian

IEEE Trans. Medical Imaging, 2020

Deep Regression via Multi-Channel Multi-Modal Learning for Pneumonia Screening.

Qiuli Wang, Dan Yang, Zhihuan Li, Xiaohong Zhang, Chen Liu

IEEE Access, 2020

End-to-End Multi-Task Learning for Lung Nodule Segmentation and Diagnosis.

Wei Chen, Qiuli Wang, Dan Yang, Xiaohong Zhang, Chen Liu, Yucong Li

Proceedings of the 25th International Conference on Pattern Recognition, 2020

MTGAN: Mask and Texture-driven Generative Adversarial Network for Lung Nodule Segmentation.

Wei Chen, Qiuli Wang, Kun Wang, Dan Yang, Xiaohong Zhang, Chen Liu, Yucong Li

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Fine Grain Lung Nodule Diagnosis Based on CT Using 3D Convolutional Neural Network.

Qiuli Wang, Jiajia Zhang, Sheng Huang, Chen Liu, Xiaohong Zhang, Dan Yang

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019