Zhe Liu

According to our database, Zhe Liu authored at least 51 papers between 2012 and 2024.

Collaborative distances:

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

2024

CPSNet: a cyclic pyramid-based small lesion detection network.

Yan Zhu, Zhe Liu, Yuqing Song, Kai Han, Chengjian Qiu, Yangyang Tang, Jiawen Zhang, Yi Liu

Multim. Tools Appl., April, 2024

Pancreas segmentation in CT based on RC-3DUNet with SOM.

Zhe Liu, Siqi Ma, Yi Liu, Wenqiang Wang, Yuqing Song, Jun Su, Yangyang Tang, Aihong Yu, Xuesheng Liu

Multim. Syst., April, 2024

Imbalance multiclass problem: a robust feature enhancement-based framework for liver lesion classification.

Rui Hu, Yuqing Song, Yi Liu, Yan Zhu, Nuo Feng, Chengjian Qiu, Kai Han, Qiaoying Teng, Imran Ul Haq, Zhe Liu

Multim. Syst., April, 2024

2023

CMFCUNet: cascaded multi-scale feature calibration UNet for pancreas segmentation.

Cheng-Jian Qiu, Yuqing Song, Zhe Liu, Jing Yin, Kai Han, Yi Liu

Multim. Syst., April, 2023

Cascaded multi-point regression Network for high-quality generic lesion detection.

Han Li, Huan Rong, Victor S. Sheng, Yuqing Song, Cheng-Jian Qiu, Kai Han, Zhe Liu

Expert Syst. Appl., 2023

RTUNet: Residual transformer UNet specifically for pancreas segmentation.

Cheng-Jian Qiu, Zhe Liu, Yuqing Song, Jing Yin, Kai Han, Yan Zhu, Yi Liu, Victor S. Sheng

Biomed. Signal Process. Control., 2023

A Domain Knowledge-Based Semi-supervised Pancreas Segmentation Approach.

Siqi Ma, Zhe Liu, Yuqing Song, Yi Liu, Kai Han, Yang Jiang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Sample Selection Based on Uncertainty for Combating Label Noise.

Shuohui Hao, Zhe Liu, Yuqing Song, Yi Liu, Kai Han, Victor S. Sheng, Yan Zhu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Multi-task Learning Network for Automatic Pancreatic Tumor Segmentation and Classification with Inter-Network Channel Feature Fusion.

Kaiwen Chen, Chunyu Zhang, Chengjian Qiu, Yuqing Song, Anthony Miller, Lu Liu, Imran Ul Haq, Zhe Liu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Noisy-to-Clean Label Learning for Medical Image Segmentation.

Zihao Bu, Xiaoxiao Wang, Chengjian Qiu, Zhixuan Wang, Kai Han, Xiuhong Shan, Zhe Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

An Effective Semi-Supervised Approach for Liver CT Image Segmentation.

Kai Han, Lu Liu, Yu-Qing Song, Yi Liu, Cheng-Jian Qiu, Yangyang Tang, Qiaoying Teng, Zhe Liu

IEEE J. Biomed. Health Informatics, 2022

FireNet-MLstm for classifying liver lesions by using deep features in CT images.

Gedeon Kashala Kabe, Yuqing Song, Zhe Liu

Multim. Tools Appl., 2022

A survey on the interpretability of deep learning in medical diagnosis.

Qiaoying Teng, Zhe Liu, Yu-Qing Song, Kai Han, Yang Lu

Multim. Syst., 2022

Improving CT-image universal lesion detection with comprehensive data and feature enhancements.

Zhe Liu, Kai Han, Kaifeng Xue, Yuqing Song, Lu Liu, Yangyang Tang, Yan Zhu

Multim. Syst., 2022

Pancreas Co-segmentation based on dynamic ROI extraction and VGGU-Net.

Zhe Liu, Jun Su, Ruihao Wang, Rui Jiang, Yu-Qing Song, Dengyong Zhang, Yan Zhu, Deqi Yuan, Qingsong Gan, Victor S. Sheng

Expert Syst. Appl., 2022

HPM-Net: Hierarchical progressive multiscale network for liver vessel segmentation in CT images.

Wen Hao, Jing Zhang, Jun Su, Yuqing Song, Zhe Liu, Yi Liu, Cheng-Jian Qiu, Kai Han

Comput. Methods Programs Biomed., 2022

2021

Automatic liver segmentation from abdominal CT volumes using improved convolution neural networks.

Zhe Liu, Kai Han, Zhaohui Wang, Jing Zhang, Yuqing Song, Xu Yao, Deqi Yuan, Victor S. Sheng

Multim. Syst., 2021

DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function.

Jun Su, Zhe Liu, Jing Zhang, Victor S. Sheng, Yuqing Song, Yan Zhu, Yi Liu

Knowl. Based Syst., 2021

Supervised and Semi-supervised Methods for Abdominal Organ Segmentation: A Review.

Isaac Baffour Senkyire, Zhe Liu

Int. J. Autom. Comput., 2021

MLANet: Multi-Layer Anchor-free Network for generic lesion detection.

Zhe Liu, Xi Xie, Yuqing Song, Yang Zhang, Xuesheng Liu, Jiawen Zhang, Victor S. Sheng

Eng. Appl. Artif. Intell., 2021

Multi-atlas classification of autism spectrum disorder with hinge loss trained deep architectures: ABIDE I results.

Thomas Martial Epalle, Yuqing Song, Zhe Liu, Hu Lu

Appl. Soft Comput., 2021

SaliencyBERT: Recurrent Attention Network for Target-Oriented Multimodal Sentiment Classification.

Jiawei Wang, Zhe Liu, Victor S. Sheng, Yuqing Song, Chenjian Qiu

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Efficient 3D Pancreas Segmentation Using Two-Stage 3D Convolutional Neural Networks.

Wenqiang Wang, Zhe Liu, Yuqing Song, Jun Su, Yangyang Tang, Aihong Yu, Xuesheng Liu

Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021

Automatic CT Lesion Detection Based on Feature Pyramid Inference with Multi-scale Response.

Yangyang Tang, Zhe Liu, Yuqing Song, Kai Han, Jun Su, Wenqiang Wang, Fan Hu, Jiawen Zhang

Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021

Self-supervision Adversarial Learning Network for Liver Lesion Classification.

Cong Ma, Zhe Liu, Yuqing Song, Cheng-Jian Qiu, Aihong Yu, Jiawen Zhang

Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021

Lesion detection method based on double modules for feature extraction.

Yuqing Song, Jingjing Wu, Zhe Liu

Proceedings of the ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems, Chongqing, China, May 28, 2021

Novel Distant Domain Transfer Learning Method for COVID-19 Classification from X-rays Images.

Gedeon Kashala Kabe, Yuqing Song, Zhe Liu

Proceedings of the ICACS '21: 2021 The 5th International Conference on Algorithms, Computing and Systems, Xi'an, China, September 24, 2021

2020

Advances on pancreas segmentation: a review.

Xu Yao, Yuqing Song, Zhe Liu

Multim. Tools Appl., 2020

An Improved C4.5 Algorthm in Bagging Integration Model.

Yuqing Song, Xu Yao, Zhe Liu, Xianbao Shen, Jingyi Mao

IEEE Access, 2020

2019

基于显著稀疏表示和邻域信息的多聚焦图像融合 (Multi-focus Image Fusion Based on Latent Sparse Representation and Neighborhood Information).

Bing Zhang, Conghua Xie, Zhe Liu

计算机科学, 2019

基于排序选择度量的自适应集成方法 (Adaptive Integrated Method Based on Sorting Selection Metrics).

Xianbao Shen, Yuqing Song, Zhe Liu

计算机科学, 2019

基于改进多尺度LBP算法的肝脏CT图像特征提取方法 (Liver CT Image Feature Extraction Method Based on Improved Multi-scale LBP Algorithm).

Xiaohong Liu, Yuquan Zhu, Zhe Liu, Yuqing Song, Yan Zhu, Deqi Yuan

计算机科学, 2019

Texture Feature Extraction from Thyroid MR Imaging Using High-Order Derived Mean CLBP.

Zhe Liu, Cheng-Jian Qiu, Yu-Qing Song, Xiaohong Liu, Juan Wang, Victor S. Sheng

J. Comput. Sci. Technol., 2019

Liver CT sequence segmentation based with improved U-Net and graph cut.

Zhe Liu, Yu-Qing Song, Victor S. Sheng, Liangmin Wang, Rui Jiang, Xiaolin Zhang, Deqi Yuan

Expert Syst. Appl., 2019

MRI and PET image fusion using the nonparametric density model and the theory of variable-weight.

Zhe Liu, Yuqing Song, Victor S. Sheng, Chunyan Xu, Charlie Maere, Kaifeng Xue, Kai Yang

Comput. Methods Programs Biomed., 2019

Feature fusion adversarial learning network for liver lesion classification.

Peng Chen, Yuqing Song, Deqi Yuan, Zhe Liu

Proceedings of the MMAsia '19: ACM Multimedia Asia, Beijing, China, December 16-18, 2019, 2019

Characterizing and Identifying Autism Disorder Using Regional Connectivity Patterns and Extreme Gradient Boosting Classifier.

Thomas Martial Epalle, Yuqing Song, Hu Lu, Zhe Liu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Densely connected deep U-Net for abdominal multi-organ segmentation.

Zhao-Hui Wang, Zhe Liu, Yu-Qing Song, Yan Zhu

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

基于约束随机游走的肿瘤图像分割方法 (Tumor Image Segmentation Method Based on Random Walk with Constraint).

Qingfeng Liu, Zhe Liu, Yuqing Song, Yan Zhu

计算机科学, 2018

A Method for PET-CT Lung Cancer Segmentation based on Improved Random Walk.

Zhe Liu, Yuqing Song, Charlie Maere, Qingfeng Liu, Yan Zhu, Hu Lu, Deqi Yuan

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Single image dehazing using kernel regression model and dark channel prior.

Conghua Xie, Wei-Wei Qiao, Zhe Liu, Wenhao Ying

Signal Image Video Process., 2017

自适应变异差分算法与Powell算法相结合的医学图像配准 (Medical Image Registration Based on Self-adaptive DE Algorithm and Powell Algorithm).

Zhe Liu, Yuqing Song, Dongdong Wang

计算机科学, 2017

2016

A new clustering method of gene expression data based on multivariate Gaussian mixture models.

Zhe Liu, Yuqing Song, Conghua Xie, Zheng Tang

Signal Image Video Process., 2016

Eagle: An Agile Approach to Automaton Updating in Cloud Security Services.

Hao Peng, Zhe Liu, Jie Shen, Xue Li, Hanteng Chen, Jianxin Li, Lu Liu

Proceedings of the 2016 IEEE Symposium on Service-Oriented System Engineering, 2016

2015

Noised image segmentation based on rough set and orthogonal polynomial density model.

Zhe Liu, Yuqing Song, Zheng Tang

J. Electronic Imaging, 2015

An Improved Brain MRI Segmentation Method Based on Scale-Space Theory and Expectation Maximization Algorithm.

Yuqing Song, Xiang Bao, Zhe Liu, Deqi Yuan, Minshan Song

Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

2014

Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns.

Hu Lu, Zhe Liu, Yuqing Song

Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Hierarchical organization in neuronal functional networks during working memory tasks.

Hu Lu, Hui Wei, Zhe Liu, Yuqing Song

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Medical Image Clustering Based on Improved Particle Swarm Optimization and Expectation Maximization Algorithm.

Zheng Tang, Yuqing Song, Zhe Liu

Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

2012

Medical image segmentation based on non-parametric mixture models with spatial information.

Yuqing Song, Zhe Liu, Jian-Mei Chen, Feng Zhu, Conghua Xie

Signal Image Video Process., 2012

Color image segmentation using nonparametric mixture models with multivariate orthogonal polynomials.

Zhe Liu, Yuqing Song, Jian-Mei Chen, Conghua Xie, Feng Zhu

Neural Comput. Appl., 2012