Zhe Liu

Orcid: 0009-0003-3760-7033

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


According to our database1, Zhe Liu authored at least 60 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A robust combined weighted label fusion in multi-atlas pancreas segmentation.
Multim. Tools Appl., August, 2024

CPSNet: a cyclic pyramid-based small lesion detection network.
Multim. Tools Appl., April, 2024

Pancreas segmentation in CT based on RC-3DUNet with SOM.
Multim. Syst., April, 2024

Imbalance multiclass problem: a robust feature enhancement-based framework for liver lesion classification.
Multim. Syst., April, 2024

Automatic medical report generation combining contrastive learning and feature difference.
Knowl. Based Syst., 2024

Deep semi-supervised learning for medical image segmentation: A review.
Expert Syst. Appl., 2024

MMMViT: Multiscale multimodal vision transformer for brain tumor segmentation with missing modalities.
Biomed. Signal Process. Control., 2024

HI-Net: Liver vessel segmentation with hierarchical inter-scale multi-scale feature fusion.
Biomed. Signal Process. Control., 2024

AugMixSpeech: A Data Augmentation Method and Consistency Regularization for Mandarin Automatic Speech Recognition.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

Tutor Assisted Feature Distillation.
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.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
CMFCUNet: cascaded multi-scale feature calibration UNet for pancreas segmentation.
Multim. Syst., April, 2023

Cascaded multi-point regression Network for high-quality generic lesion detection.
Expert Syst. Appl., 2023

RTUNet: Residual transformer UNet specifically for pancreas segmentation.
Biomed. Signal Process. Control., 2023

A Domain Knowledge-Based Semi-supervised Pancreas Segmentation Approach.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Sample Selection Based on Uncertainty for Combating Label Noise.
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.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Noisy-to-Clean Label Learning for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

LC-SegDiff: Label-Constraint Diffusion Model for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
An Effective Semi-Supervised Approach for Liver CT Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022

FireNet-MLstm for classifying liver lesions by using deep features in CT images.
Multim. Tools Appl., 2022

A survey on the interpretability of deep learning in medical diagnosis.
Multim. Syst., 2022

Improving CT-image universal lesion detection with comprehensive data and feature enhancements.
Multim. Syst., 2022

Pancreas Co-segmentation based on dynamic ROI extraction and VGGU-Net.
Expert Syst. Appl., 2022

HPM-Net: Hierarchical progressive multiscale network for liver vessel segmentation in CT images.
Comput. Methods Programs Biomed., 2022

2021
Automatic liver segmentation from abdominal CT volumes using improved convolution neural networks.
Multim. Syst., 2021

DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function.
Knowl. Based Syst., 2021

Supervised and Semi-supervised Methods for Abdominal Organ Segmentation: A Review.
Int. J. Autom. Comput., 2021

MLANet: Multi-Layer Anchor-free Network for generic lesion detection.
Eng. Appl. Artif. Intell., 2021

Multi-atlas classification of autism spectrum disorder with hinge loss trained deep architectures: ABIDE I results.
Appl. Soft Comput., 2021

SaliencyBERT: Recurrent Attention Network for Target-Oriented Multimodal Sentiment Classification.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Efficient 3D Pancreas Segmentation Using Two-Stage 3D Convolutional Neural Networks.
Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021

Automatic CT Lesion Detection Based on Feature Pyramid Inference with Multi-scale Response.
Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021

Self-supervision Adversarial Learning Network for Liver Lesion Classification.
Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021

Lesion detection method based on double modules for feature extraction.
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.
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.
Multim. Tools Appl., 2020

An Improved C4.5 Algorthm in Bagging Integration Model.
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).
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).
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).
计算机科学, 2019

Texture Feature Extraction from Thyroid MR Imaging Using High-Order Derived Mean CLBP.
J. Comput. Sci. Technol., 2019

Liver CT sequence segmentation based with improved U-Net and graph cut.
Expert Syst. Appl., 2019

MRI and PET image fusion using the nonparametric density model and the theory of variable-weight.
Comput. Methods Programs Biomed., 2019

Feature fusion adversarial learning network for liver lesion classification.
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.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Densely connected deep U-Net for abdominal multi-organ segmentation.
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).
计算机科学, 2018

A Method for PET-CT Lung Cancer Segmentation based on Improved Random Walk.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Single image dehazing using kernel regression model and dark channel prior.
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).
计算机科学, 2017

2016
A new clustering method of gene expression data based on multivariate Gaussian mixture models.
Signal Image Video Process., 2016

Eagle: An Agile Approach to Automaton Updating in Cloud Security Services.
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.
J. Electronic Imaging, 2015

An Improved Brain MRI Segmentation Method Based on Scale-Space Theory and Expectation Maximization Algorithm.
Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

2014
Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Hierarchical organization in neuronal functional networks during working memory tasks.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Medical Image Clustering Based on Improved Particle Swarm Optimization and Expectation Maximization Algorithm.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

2012
Medical image segmentation based on non-parametric mixture models with spatial information.
Signal Image Video Process., 2012

Color image segmentation using nonparametric mixture models with multivariate orthogonal polynomials.
Neural Comput. Appl., 2012


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