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Zhe Liu 0004
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Publications
- 2024
- [j32]Zhe Liu, Siqi Ma, Yi Liu, Wenqiang Wang, Yuqing Song, Jun Su, Yangyang Tang, Aihong Yu, Xuesheng Liu:
Pancreas segmentation in CT based on RC-3DUNet with SOM. Multim. Syst. 30(2): 66 (2024) - [j31]Rui Hu, Yuqing Song, Yi Liu, Yan Zhu, Nuo Feng, Chengjian Qiu, Kai Han, Qiaoying Teng, Imran Ul Haq, Zhe Liu:
Imbalance multiclass problem: a robust feature enhancement-based framework for liver lesion classification. Multim. Syst. 30(2): 104 (2024) - [j30]Yan Zhu, Zhe Liu, Yuqing Song, Kai Han, Chengjian Qiu, Yangyang Tang, Jiawen Zhang, Yi Liu:
CPSNet: a cyclic pyramid-based small lesion detection network. Multim. Tools Appl. 83(13): 39983-40001 (2024) - 2023
- [j29]Cheng-Jian Qiu, Zhe Liu, Yuqing Song, Jing Yin, Kai Han, Yan Zhu, Yi Liu, Victor S. Sheng:
RTUNet: Residual transformer UNet specifically for pancreas segmentation. Biomed. Signal Process. Control. 79(Part): 104173 (2023) - [j28]Han Li, Huan Rong, Victor S. Sheng, Yuqing Song, Cheng-Jian Qiu, Kai Han, Zhe Liu:
Cascaded multi-point regression Network for high-quality generic lesion detection. Expert Syst. Appl. 214: 119141 (2023) - [j27]Cheng-Jian Qiu, Yuqing Song, Zhe Liu, Jing Yin, Kai Han, Yi Liu:
CMFCUNet: cascaded multi-scale feature calibration UNet for pancreas segmentation. Multim. Syst. 29(2): 871-886 (2023) - [c19]Zihao Bu, Xiaoxiao Wang, Chengjian Qiu, Zhixuan Wang, Kai Han, Xiuhong Shan, Zhe Liu:
Noisy-to-Clean Label Learning for Medical Image Segmentation. ICME 2023: 1553-1558 - [c18]Shuohui Hao, Zhe Liu, Yuqing Song, Yi Liu, Kai Han, Victor S. Sheng, Yan Zhu:
Sample Selection Based on Uncertainty for Combating Label Noise. ICONIP (9) 2023: 62-74 - [c17]Siqi Ma, Zhe Liu, Yuqing Song, Yi Liu, Kai Han, Yang Jiang:
A Domain Knowledge-Based Semi-supervised Pancreas Segmentation Approach. ICONIP (4) 2023: 69-82 - [c16]Kaiwen Chen, Chunyu Zhang, Chengjian Qiu, Yuqing Song, Anthony Miller, Lu Liu, Imran Ul Haq, Zhe Liu:
Multi-task Learning Network for Automatic Pancreatic Tumor Segmentation and Classification with Inter-Network Channel Feature Fusion. ICONIP (3) 2023: 564-577 - 2022
- [j26]Wen Hao, Jing Zhang, Jun Su, Yuqing Song, Zhe Liu, Yi Liu, Cheng-Jian Qiu, Kai Han:
HPM-Net: Hierarchical progressive multiscale network for liver vessel segmentation in CT images. Comput. Methods Programs Biomed. 224: 107003 (2022) - [j25]Zhe Liu, Jun Su, Ruihao Wang, Rui Jiang, Yu-Qing Song, Dengyong Zhang, Yan Zhu, Deqi Yuan, Qingsong Gan, Victor S. Sheng:
Pancreas Co-segmentation based on dynamic ROI extraction and VGGU-Net. Expert Syst. Appl. 192: 116444 (2022) - [j24]Zhe Liu, Kai Han, Kaifeng Xue, Yuqing Song, Lu Liu, Yangyang Tang, Yan Zhu:
Improving CT-image universal lesion detection with comprehensive data and feature enhancements. Multim. Syst. 28(5): 1741-1752 (2022) - [j23]Qiaoying Teng, Zhe Liu, Yu-Qing Song, Kai Han, Yang Lu:
A survey on the interpretability of deep learning in medical diagnosis. Multim. Syst. 28(6): 2335-2355 (2022) - [j22]Gedeon Kashala Kabe, Yuqing Song, Zhe Liu:
FireNet-MLstm for classifying liver lesions by using deep features in CT images. Multim. Tools Appl. 81(2): 1607-1623 (2022) - [j21]Kai Han, Lu Liu, Yu-Qing Song, Yi Liu, Cheng-Jian Qiu, Yangyang Tang, Qiaoying Teng, Zhe Liu:
An Effective Semi-Supervised Approach for Liver CT Image Segmentation. IEEE J. Biomed. Health Informatics 26(8): 3999-4007 (2022) - 2021
- [j20]Thomas Martial Epalle, Yuqing Song, Zhe Liu, Hu Lu:
Multi-atlas classification of autism spectrum disorder with hinge loss trained deep architectures: ABIDE I results. Appl. Soft Comput. 107: 107375 (2021) - [j19]Zhe Liu, Xi Xie, Yuqing Song, Yang Zhang, Xuesheng Liu, Jiawen Zhang, Victor S. Sheng:
MLANet: Multi-Layer Anchor-free Network for generic lesion detection. Eng. Appl. Artif. Intell. 102: 104255 (2021) - [j17]Jun Su, Zhe Liu, Jing Zhang, Victor S. Sheng, Yuqing Song, Yan Zhu, Yi Liu:
DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function. Knowl. Based Syst. 232: 107471 (2021) - [j16]Zhe Liu, Kai Han, Zhaohui Wang, Jing Zhang, Yuqing Song, Xu Yao, Deqi Yuan, Victor S. Sheng:
Automatic liver segmentation from abdominal CT volumes using improved convolution neural networks. Multim. Syst. 27(1): 111-124 (2021) - [c15]Gedeon Kashala Kabe, Yuqing Song, Zhe Liu:
Novel Distant Domain Transfer Learning Method for COVID-19 Classification from X-rays Images. ICACS 2021: 127-134 - [c14]Yuqing Song, Jingjing Wu, Zhe Liu:
Lesion detection method based on double modules for feature extraction. ICAIIS 2021: 66:1-66:6 - [c13]Yangyang Tang, Zhe Liu, Yuqing Song, Kai Han, Jun Su, Wenqiang Wang, Fan Hu, Jiawen Zhang:
Automatic CT Lesion Detection Based on Feature Pyramid Inference with Multi-scale Response. ICAIS (1) 2021: 167-179 - [c12]Wenqiang Wang, Zhe Liu, Yuqing Song, Jun Su, Yangyang Tang, Aihong Yu, Xuesheng Liu:
Efficient 3D Pancreas Segmentation Using Two-Stage 3D Convolutional Neural Networks. ICAIS (1) 2021: 193-204 - [c11]Cong Ma, Zhe Liu, Yuqing Song, Cheng-Jian Qiu, Aihong Yu, Jiawen Zhang:
Self-supervision Adversarial Learning Network for Liver Lesion Classification. ICAIS (1) 2021: 540-552 - [c10]Jiawei Wang, Zhe Liu, Victor S. Sheng, Yuqing Song, Chenjian Qiu:
SaliencyBERT: Recurrent Attention Network for Target-Oriented Multimodal Sentiment Classification. PRCV (3) 2021: 3-15 - 2020
- [j15]Yuqing Song, Xu Yao, Zhe Liu, Xianbao Shen, Jingyi Mao:
An Improved C4.5 Algorthm in Bagging Integration Model. IEEE Access 8: 206866-206875 (2020) - [j14]Xu Yao, Yuqing Song, Zhe Liu:
Advances on pancreas segmentation: a review. Multim. Tools Appl. 79(9-10): 6799-6821 (2020) - 2019
- [j13]Zhe Liu, Yuqing Song, Victor S. Sheng, Chunyan Xu, Charlie Maere, Kaifeng Xue, Kai Yang:
MRI and PET image fusion using the nonparametric density model and the theory of variable-weight. Comput. Methods Programs Biomed. 175: 73-82 (2019) - [j12]Zhe Liu, Yu-Qing Song, Victor S. Sheng, Liangmin Wang, Rui Jiang, Xiaolin Zhang, Deqi Yuan:
Liver CT sequence segmentation based with improved U-Net and graph cut. Expert Syst. Appl. 126: 54-63 (2019) - [j11]Zhe Liu, Cheng-Jian Qiu, Yu-Qing Song, Xiaohong Liu, Juan Wang, Victor S. Sheng:
Texture Feature Extraction from Thyroid MR Imaging Using High-Order Derived Mean CLBP. J. Comput. Sci. Technol. 34(1): 35-46 (2019) - [j10]Xiaohong Liu, Yuquan Zhu, Zhe Liu, Yuqing Song, Yan Zhu, Deqi Yuan:
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). 计算机科学 46(3): 125-130 (2019) - [j9]Bing Zhang, Conghua Xie, Zhe Liu:
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). 计算机科学 46(9): 254-258 (2019) - [j8]Xianbao Shen, Yuqing Song, Zhe Liu:
基于排序选择度量的自适应集成方法 (Adaptive Integrated Method Based on Sorting Selection Metrics). 计算机科学 46(12): 237-241 (2019) - [c9]Zhao-Hui Wang, Zhe Liu, Yu-Qing Song, Yan Zhu:
Densely connected deep U-Net for abdominal multi-organ segmentation. ICIP 2019: 1415-1419 - [c8]Thomas Martial Epalle, Yuqing Song, Hu Lu, Zhe Liu:
Characterizing and Identifying Autism Disorder Using Regional Connectivity Patterns and Extreme Gradient Boosting Classifier. ICONIP (4) 2019: 570-579 - [c7]Peng Chen, Yuqing Song, Deqi Yuan, Zhe Liu:
Feature fusion adversarial learning network for liver lesion classification. MMAsia 2019: 21:1-21:7 - 2018
- [j7]Qingfeng Liu, Zhe Liu, Yuqing Song, Yan Zhu:
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). 计算机科学 45(7): 243-247 (2018) - [c6]Zhe Liu, Yuqing Song, Charlie Maere, Qingfeng Liu, Yan Zhu, Hu Lu, Deqi Yuan:
A Method for PET-CT Lung Cancer Segmentation based on Improved Random Walk. ICPR 2018: 1187-1192 - 2017
- [j6]Zhe Liu, Yuqing Song, Dongdong Wang:
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). 计算机科学 44(11): 297-300 (2017) - [j5]Conghua Xie, Wei-Wei Qiao, Zhe Liu, Wenhao Ying:
Single image dehazing using kernel regression model and dark channel prior. Signal Image Video Process. 11(4): 705-712 (2017) - 2016
- [j4]Zhe Liu, Yuqing Song, Conghua Xie, Zheng Tang:
A new clustering method of gene expression data based on multivariate Gaussian mixture models. Signal Image Video Process. 10(2): 359-368 (2016) - [c5]Hao Peng, Zhe Liu, Jie Shen, Xue Li, Hanteng Chen, Jianxin Li, Lu Liu:
Eagle: An Agile Approach to Automaton Updating in Cloud Security Services. SOSE 2016: 73-80 - 2015
- [j3]Zhe Liu, Yuqing Song, Zheng Tang:
Noised image segmentation based on rough set and orthogonal polynomial density model. J. Electronic Imaging 24(2): 023010 (2015) - [c4]Yuqing Song, Xiang Bao, Zhe Liu, Deqi Yuan, Minshan Song:
An Improved Brain MRI Segmentation Method Based on Scale-Space Theory and Expectation Maximization Algorithm. PCM (2) 2015: 516-525 - 2014
- [c3]Zheng Tang, Yuqing Song, Zhe Liu:
Medical Image Clustering Based on Improved Particle Swarm Optimization and Expectation Maximization Algorithm. CCPR (2) 2014: 360-371 - [c2]Hu Lu, Hui Wei, Zhe Liu, Yuqing Song:
Hierarchical organization in neuronal functional networks during working memory tasks. IJCNN 2014: 446-451 - [c1]Hu Lu, Zhe Liu, Yuqing Song:
Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns. ISNN 2014: 558-567 - 2012
- [j2]Zhe Liu, Yuqing Song, Jian-Mei Chen, Conghua Xie, Feng Zhu:
Color image segmentation using nonparametric mixture models with multivariate orthogonal polynomials. Neural Comput. Appl. 21(4): 801-811 (2012) - [j1]Yuqing Song, Zhe Liu, Jian-Mei Chen, Feng Zhu, Conghua Xie:
Medical image segmentation based on non-parametric mixture models with spatial information. Signal Image Video Process. 6(4): 569-578 (2012)
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last updated on 2024-04-18 22:49 CEST by the dblp team
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