DENCLUE-M: Boosting DENCLUE Algorithm by Mean Approximation on Grids. - Cunhua Li; Zhihui Sun; Yuqing Song 001 (WAIM, 2003)

Mining Frequent Item-sets Based on Binary Reduction Database. - Yuquan Zhu; Conghua Xie; He-Biao Yang; Yuqing Song 001 (IICAI, 2005)

Research on Medical Image Clustering Based on Approximate Density Function. - Yuqing Song 001; Conghua Xie; Yuquan Zhu; Cunhua Li; Jian-Mei Chen; Lijun Wang (J. Comput. Res. Dev., 2006)

Hill-down strategy based DENsity CLUstEring and its application to medical image data. - Conghua Xie; Jinyi Chang; Yuqing Song 001 (Infoscale, 2007)

Dominance-Based Variable Precision Rough Fuzzy Approach in Fuzzy Information System. - Yunsong Qi; Xibei Yang; Huaijiang Sun; Yuqing Song 001 (FSKD (5), 2008)

Characteristic Relations in Generalized Incomplete Information System. - Yunsong Qi; Lihua Wei; Huaijiang Sun; Yuqing Song 001; Quan-Sen Sun (WKDD, 2008)

Fast medical image mixture density clustering segmentation using stratification sampling and kernel density estimation. - Conghua Xie; Yuqing Song 001; Jian-Mei Chen (Signal Image Video Process., 2011)

Color image segmentation using nonparametric mixture models with multivariate orthogonal polynomials. - Zhe Liu 004; Yuqing Song 001; Jian-Mei Chen; Conghua Xie; Feng Zhu (Neural Comput. Appl., 2012)

Medical image segmentation based on non-parametric mixture models with spatial information. - Yuqing Song 001; Zhe Liu 004; Jian-Mei Chen; Feng Zhu; Conghua Xie (Signal Image Video Process., 2012)

Medical Image Clustering Based on Improved Particle Swarm Optimization and Expectation Maximization Algorithm. - Zheng Tang; Yuqing Song 001; Zhe Liu 004 (CCPR (2), 2014)

Hierarchical organization in neuronal functional networks during working memory tasks. - Hu Lu; Hui Wei 001; Zhe Liu 004; Yuqing Song 001 (IJCNN, 2014)

Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns. - Hu Lu; Zhe Liu 004; Yuqing Song 001 (ISNN, 2014)

Partitioning the Firing Patterns of Spike Trains by Community Modularity. - Hu Lu; Xing Hao Huang; Yuqing Song 001; Hui Wei 001 (CogSci, 2015)

An Improved Brain MRI Segmentation Method Based on Scale-Space Theory and Expectation Maximization Algorithm. - Yuqing Song 001; Xiang Bao; Zhe Liu 004; Deqi Yuan; Minshan Song (PCM (2), 2015)

Noised image segmentation based on rough set and orthogonal polynomial density model. - Zhe Liu 004; Yuqing Song 001; Zheng Tang (J. Electronic Imaging, 2015)

Fractal descriptors based on quaternion Fourier transform for color texture analysis. - Feng Zhu; Meifeng Dai; Conghua Xie; Yuqing Song 001; Limin Luo (J. Electronic Imaging, 2015)

基于机器学习的肺音分类技术的研究进展 (Advances in Computer-based Lung Sounds Classification Method). - Mingjie Zheng 003; Yuqing Song 001; Yi Liu 114 (计算机科学, 2015)

A new clustering method of gene expression data based on multivariate Gaussian mixture models. - Zhe Liu 004; Yuqing Song 001; Conghua Xie; Zheng Tang (Signal Image Video Process., 2016)

An Improved Evolutionary Random Neural Networks Based on Particle Swarm Optimization and Input-to-Output Sensitivity. - Qing-Hua Ling; Yuqing Song 001; Fei Han 001; Hu Lu (ICIC (1), 2017)

Evolutionary Modularity Optimization Clustering of Neuronal Spike Trains. - Chaojie Yu; Yuquan Zhu; Yuqing Song 001; Hu Lu (ICONIP (4), 2017)

Detecting Community Structure Based on Optimized Modularity by Genetic Algorithm in Resting-State fMRI. - Xing Hao Huang; Yuqing Song 001; Ding An Liao; Hu Lu (ISNN (2), 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 004; Yuqing Song 001; Dongdong Wang (计算机科学, 2017)

A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information. - Fei Han 001; Chun Yang; Ya-Qi Wu; Jiansheng Zhu; Qing-Hua Ling; Yuqing Song 001; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

A Method for PET-CT Lung Cancer Segmentation based on Improved Random Walk. - Zhe Liu 004; Yuqing Song 001; Charlie Maere; Qingfeng Liu; Yan Zhu 018; Hu Lu; Deqi Yuan (ICPR, 2018)

Saliency Detection Based on Deep Learning and Graph Cut. - Hu Lu; Yuqing Song 001; Jun Sun; Xingpei Xu (PCM (3), 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 004; Yuqing Song 001; Yan Zhu 018 (计算机科学, 2018)

Densely connected deep U-Net for abdominal multi-organ segmentation. - Zhao-Hui Wang; Zhe Liu 004; Yu-Qing Song 001; Yan Zhu 018 (ICIP, 2019)

Characterizing and Identifying Autism Disorder Using Regional Connectivity Patterns and Extreme Gradient Boosting Classifier. - Thomas Martial Epalle; Yuqing Song 001; Hu Lu; Zhe Liu 004 (ICONIP (4), 2019)

Feature fusion adversarial learning network for liver lesion classification. - Peng Chen; Yuqing Song 001; Deqi Yuan; Zhe Liu 004 (MMAsia, 2019)

MRI and PET image fusion using the nonparametric density model and the theory of variable-weight. - Zhe Liu 004; Yuqing Song 001; Victor S. Sheng; Chunyan Xu; Charlie Maere; Kaifeng Xue; Kai Yang 001 (Comput. Methods Programs Biomed., 2019)

An improved learning algorithm for random neural networks based on particle swarm optimization and input-to-output sensitivity. - Qing-Hua Ling; Yuqing Song 001; Fei Han 001; Conghua Zhou; Hu Lu (Cogn. Syst. Res., 2019)

Liver CT sequence segmentation based with improved U-Net and graph cut. - Zhe Liu 004; Yu-Qing Song 001; Victor S. Sheng; Liangmin Wang 001; Rui Jiang; Xiaolin Zhang; Deqi Yuan (Expert Syst. Appl., 2019)

Texture Feature Extraction from Thyroid MR Imaging Using High-Order Derived Mean CLBP. - Zhe Liu 004; Cheng-Jian Qiu; Yu-Qing Song 001; Xiaohong Liu; Juan Wang; Victor S. Sheng (J. Comput. Sci. Technol., 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 004; Yuqing Song 001; Yan Zhu 018; Deqi Yuan (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 001; Zhe Liu 004 (计算机科学, 2019)

An Improved C4.5 Algorthm in Bagging Integration Model. - Yuqing Song 001; Xu Yao; Zhe Liu 004; Xianbao Shen; Jingyi Mao (IEEE Access, 2020)

Advances on pancreas segmentation: a review. - Xu Yao; Yuqing Song 001; Zhe Liu 004 (Multim. Tools Appl., 2020)

Multiple-kernel combination fuzzy clustering for community detection. - Hu Lu; Yuqing Song 001; Hui Wei 001 (Soft Comput., 2020)

Novel Distant Domain Transfer Learning Method for COVID-19 Classification from X-rays Images. - Gedeon Kashala Kabe; Yuqing Song 001; Zhe Liu 004 (ICACS, 2021)

Lesion detection method based on double modules for feature extraction. - Yuqing Song 001; Jingjing Wu; Zhe Liu 004 (ICAIIS, 2021)

Self-supervision Adversarial Learning Network for Liver Lesion Classification. - Cong Ma; Zhe Liu 004; Yuqing Song 001; Cheng-Jian Qiu; Aihong Yu; Jiawen Zhang 004 (ICAIS (1), 2021)

Automatic CT Lesion Detection Based on Feature Pyramid Inference with Multi-scale Response. - Yangyang Tang; Zhe Liu 004; Yuqing Song 001; Kai Han 006; Jun Su; Wenqiang Wang; Fan Hu; Jiawen Zhang 004 (ICAIS (1), 2021)

Efficient 3D Pancreas Segmentation Using Two-Stage 3D Convolutional Neural Networks. - Wenqiang Wang; Zhe Liu 004; Yuqing Song 001; Jun Su; Yangyang Tang; Aihong Yu; Xuesheng Liu (ICAIS (1), 2021)

SaliencyBERT: Recurrent Attention Network for Target-Oriented Multimodal Sentiment Classification. - Jiawei Wang; Zhe Liu 004; Victor S. Sheng; Yuqing Song 001; Chenjian Qiu (PRCV (3), 2021)

Multi-atlas classification of autism spectrum disorder with hinge loss trained deep architectures: ABIDE I results. - Thomas Martial Epalle; Yuqing Song 001; Zhe Liu 004; Hu Lu (Appl. Soft Comput., 2021)

MLANet: Multi-Layer Anchor-free Network for generic lesion detection. - Zhe Liu 004; Xi Xie; Yuqing Song 001; Yang Zhang 015; Xuesheng Liu; Jiawen Zhang 004; Victor S. Sheng (Eng. Appl. Artif. Intell., 2021)

CT Segmentation of Liver and Tumors Fused Multi-Scale Features. - Aihong Yu; Zhe Liu 004; Victor S. Sheng; Yuqing Song 001; Xuesheng Liu; Chongya Ma; Wenqiang Wang; Cong Ma (Intell. Autom. Soft Comput., 2021)

DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function. - Jun Su; Zhe Liu 004; Jing Zhang 015; Victor S. Sheng; Yuqing Song 001; Yan Zhu 018; Yi Liu 114 (Knowl. Based Syst., 2021)

Automatic liver segmentation from abdominal CT volumes using improved convolution neural networks. - Zhe Liu 004; Kai Han 006; Zhaohui Wang; Jing Zhang 015; Yuqing Song 001; Xu Yao; Deqi Yuan; Victor S. Sheng (Multim. Syst., 2021)

HPM-Net: Hierarchical progressive multiscale network for liver vessel segmentation in CT images. - Wen Hao; Jing Zhang 015; Jun Su; Yuqing Song 001; Zhe Liu 004; Yi Liu 114; Cheng-Jian Qiu; Kai Han 006 (Comput. Methods Programs Biomed., 2022)

Pancreas Co-segmentation based on dynamic ROI extraction and VGGU-Net. - Zhe Liu 004; Jun Su; Ruihao Wang; Rui Jiang; Yu-Qing Song 001; Dengyong Zhang; Yan Zhu 018; Deqi Yuan; Qingsong Gan; Victor S. Sheng (Expert Syst. Appl., 2022)

Improving CT-image universal lesion detection with comprehensive data and feature enhancements. - Zhe Liu 004; Kai Han 006; Kaifeng Xue; Yuqing Song 001; Lu Liu 001; Yangyang Tang; Yan Zhu 018 (Multim. Syst., 2022)

A survey on the interpretability of deep learning in medical diagnosis. - Qiaoying Teng; Zhe Liu 004; Yu-Qing Song 001; Kai Han 006; Yang Lu (Multim. Syst., 2022)

FireNet-MLstm for classifying liver lesions by using deep features in CT images. - Gedeon Kashala Kabe; Yuqing Song 001; Zhe Liu 004 (Multim. Tools Appl., 2022)

An Effective Semi-Supervised Approach for Liver CT Image Segmentation. - Kai Han 006; Lu Liu 001; Yu-Qing Song 001; Yi Liu 114; Cheng-Jian Qiu; Yangyang Tang; Qiaoying Teng; Zhe Liu 004 (IEEE J. Biomed. Health Informatics, 2022)

LC-SegDiff: Label-Constraint Diffusion Model for Medical Image Segmentation. - Yonghan Lu; Chengjian Qiu; Qiaoying Teng; Jun Chen; Robert C. Free; Lu Liu 001; Yuqing Song 001; Zhe Liu 004 (BIBM, 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 001; Anthony Miller; Lu Liu 001; Imran Ul Haq; Zhe Liu 004 (ICONIP (3), 2023)

Sample Selection Based on Uncertainty for Combating Label Noise. - Shuohui Hao; Zhe Liu 004; Yuqing Song 001; Yi Liu 114; Kai Han 006; Victor S. Sheng; Yan Zhu 018 (ICONIP (9), 2023)

A Domain Knowledge-Based Semi-supervised Pancreas Segmentation Approach. - Siqi Ma; Zhe Liu 004; Yuqing Song 001; Yi Liu 114; Kai Han 006; Yang Jiang (ICONIP (4), 2023)

RTUNet: Residual transformer UNet specifically for pancreas segmentation. - Cheng-Jian Qiu; Zhe Liu 004; Yuqing Song 001; Jing Yin; Kai Han 006; Yan Zhu 018; Yi Liu 114; Victor S. Sheng (Biomed. Signal Process. Control., 2023)

Cascaded multi-point regression Network for high-quality generic lesion detection. - Han Li; Huan Rong; Victor S. Sheng; Yuqing Song 001; Cheng-Jian Qiu; Kai Han 006; Zhe Liu 004 (Expert Syst. Appl., 2023)

Pancreas Segmentation Optimization Based on Coarse-to-Fine Scheme. - Xu Yao; Chengjian Qiu; Yuqing Song 001; Zhe Liu 004 (Intell. Autom. Soft Comput., 2023)

CMFCUNet: cascaded multi-scale feature calibration UNet for pancreas segmentation. - Cheng-Jian Qiu; Yuqing Song 001; Zhe Liu 004; Jing Yin; Kai Han 006; Yi Liu 114 (Multim. Syst., 2023)

Wavelet Transform-based Distribution Discrepancy Maximization for Medical Image Segmentation. - Kai Han 006; Jun Chen; Siqi Ma; Yuqing Song 001; Yonghan Lu; Zhe Liu 004 (BIBM, 2024)

Tutor Assisted Feature Distillation. - Shenghao Chen; Zhe Liu 004; Jun Chen; Yuqing Song 001; Yi Liu 114; Qiaoying Teng (ICME, 2024)

AugMixSpeech: A Data Augmentation Method and Consistency Regularization for Mandarin Automatic Speech Recognition. - Yang Jiang; Jun Chen; Kai Han 006; Yi Liu 114; Siqi Ma; Yuqing Song 001; Zhe Liu 004 (NLPCC (3), 2024)

HI-Net: Liver vessel segmentation with hierarchical inter-scale multi-scale feature fusion. - Zhe Liu 004; Qiaoying Teng; Yuqing Song 001; Wen Hao; Yi Liu 114; Yan Zhu 018; Yuefeng Li (Biomed. Signal Process. Control., 2024)

MMMViT: Multiscale multimodal vision transformer for brain tumor segmentation with missing modalities. - Chengjian Qiu; Yuqing Song 001; Yi Liu 114; Yan Zhu 018; Kai Han 006; Victor S. Sheng; Zhe Liu 004 (Biomed. Signal Process. Control., 2024)

Deep semi-supervised learning for medical image segmentation: A review. - Kai Han 006; Victor S. Sheng; Yuqing Song 001; Yi Liu 114; Chengjian Qiu; Siqi Ma; Zhe Liu 004 (Expert Syst. Appl., 2024)

Automatic medical report generation combining contrastive learning and feature difference. - Chongwen Lyu; Chengjian Qiu; Kai Han 006; Saisai Li; Victor S. Sheng; Huan Rong; Yuqing Song 001; Yi Liu 114; Zhe Liu 004 (Knowl. Based Syst., 2024)

Imbalance multiclass problem: a robust feature enhancement-based framework for liver lesion classification. - Rui Hu; Yuqing Song 001; Yi Liu 114; Yan Zhu 018; Nuo Feng; Chengjian Qiu; Kai Han 006; Qiaoying Teng; Imran Ul Haq; Zhe Liu 004 (Multim. Syst., 2024)

Pancreas segmentation in CT based on RC-3DUNet with SOM. - Zhe Liu 004; Siqi Ma; Yi Liu 114; Wenqiang Wang; Yuqing Song 001; Jun Su; Yangyang Tang; Aihong Yu; Xuesheng Liu (Multim. Syst., 2024)

CPSNet: a cyclic pyramid-based small lesion detection network. - Yan Zhu 018; Zhe Liu 004; Yuqing Song 001; Kai Han 006; Chengjian Qiu; Yangyang Tang; Jiawen Zhang 004; Yi Liu 114 (Multim. Tools Appl., 2024)

A robust combined weighted label fusion in multi-atlas pancreas segmentation. - Xu Yao; Yuqing Song 001; Zhe Liu 004 (Multim. Tools Appl., 2024)