Zhe Liu

Orcid: 0000-0002-1197-0390

Affiliations:

Jiangsu University, School of Computer Science and Telecommunication Engineering, Zhenjiang, China

According to our database¹, Zhe Liu authored at least 59 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

A robust combined weighted label fusion in multi-atlas pancreas segmentation.

[BibT_eX]

[DOI]

Xu Yao

Yuqing Song

Zhe Liu

Multim. Tools Appl., August, 2024

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

[BibT_eX]

[DOI]

Multim. Tools Appl., April, 2024

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

[BibT_eX]

[DOI]

Multim. Syst., April, 2024

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

[BibT_eX]

[DOI]

Multim. Syst., April, 2024

Deep semi-supervised learning for medical image segmentation: A review.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

MMMViT: Multiscale multimodal vision transformer for brain tumor segmentation with missing modalities.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2024

HI-Net: Liver vessel segmentation with hierarchical inter-scale multi-scale feature fusion.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2024

AugMixSpeech: A Data Augmentation Method and Consistency Regularization for Mandarin Automatic Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Tutor Assisted Feature Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

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

[BibT_eX]

[DOI]

Multim. Syst., April, 2023

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

[BibT_eX]

[DOI]

Expert Syst. Appl., 2023

RTUNet: Residual transformer UNet specifically for pancreas segmentation.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2023

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

[BibT_eX]

[DOI]

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

Sample Selection Based on Uncertainty for Combating Label Noise.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

LC-SegDiff: Label-Constraint Diffusion Model for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

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

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

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

[BibT_eX]

[DOI]

Gedeon Kashala Kabe

Yuqing Song

Zhe Liu

Multim. Tools Appl., 2022

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

[BibT_eX]

[DOI]

Multim. Syst., 2022

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

[BibT_eX]

[DOI]

Multim. Syst., 2022

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

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

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

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2022

2021

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

[BibT_eX]

[DOI]

Multim. Syst., 2021

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

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

[BibT_eX]

[DOI]

Isaac Baffour Senkyire

Zhe Liu

Int. J. Autom. Comput., 2021

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

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2021

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

[BibT_eX]

[DOI]

Thomas Martial Epalle

Yuqing Song

Zhe Liu

Hu Lu

Appl. Soft Comput., 2021

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Self-supervision Adversarial Learning Network for Liver Lesion Classification.

[BibT_eX]

[DOI]

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

Lesion detection method based on double modules for feature extraction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Xu Yao

Yuqing Song

Zhe Liu

Multim. Tools Appl., 2020

An Improved C4.5 Algorthm in Bagging Integration Model.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

计算机科学, 2019

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

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2019

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

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

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

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2019

Feature fusion adversarial learning network for liver lesion classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

计算机科学, 2018

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

[BibT_eX]

[DOI]

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

2017

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

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Signal Image Video Process., 2016

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2014

Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Signal Image Video Process., 2012

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

[BibT_eX]

[DOI]

Neural Comput. Appl., 2012

Zhe Liu

Timeline

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