Lizhi Liu
Orcid: 0000-0002-5093-0316
According to our database1,
Lizhi Liu
authored at least 42 papers
between 2008 and 2024.
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Bibliography
2024
Stabilization and synchronization control for discrete-time complex networks via the auxiliary role of edges subsystem.
Neurocomputing, February, 2024
Biomed. Signal Process. Control., January, 2024
2023
Stabilization of a structurally balanced complex network with similar nodes of different dimensions.
Appl. Math. Comput., December, 2023
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation.
Comput. Biol. Medicine, June, 2023
Mapping the Distribution and Dynamics of Coniferous Forests in Large Areas from 1985 to 2020 Combining Deep Learning and Google Earth Engine.
Remote. Sens., March, 2023
Double tracking control for the directed complex dynamic network via the state observer of outgoing links.
Int. J. Syst. Sci., March, 2023
L<sub>2, 1</sub>-Norm Regularized Quaternion Matrix Completion Using Sparse Representation and Quaternion QR Decomposition.
CoRR, 2023
2022
NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and Metastatic Lymph Nodes in MR Images.
IEEE Trans. Medical Imaging, 2022
SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance.
Medical Image Anal., 2022
Stabilization and synchronization control for complex dynamical networks with dynamic link subsystem.
Inf. Sci., 2022
Automatic location scheme of anatomical landmarks in 3D head MRI based on the scale attention hourglass network.
Comput. Methods Programs Biomed., 2022
HPODNets: deep graph convolutional networks for predicting human protein-phenotype associations.
Bioinform., 2022
Proceedings of the 4th International Conference on Robotics, 2022
Reler: Relearning Controversial Regions to Accurately Segment Nasopharyngeal Carcinoma.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
A Deep Fusion uNet for Mapping Forests at Tree Species Levels with Multi-Temporal High Spatial Resolution Satellite Imagery.
Remote. Sens., 2021
Segmentation and Registration of the Liver in Dynamic Contrast-Enhanced Computed Tomography Images.
J. Medical Imaging Health Informatics, 2021
Asymptotical state synchronization for the controlled directed complex dynamic network via links dynamics.
Neurocomputing, 2021
HPOFiller: identifying missing protein-phenotype associations by graph convolutional network.
Bioinform., 2021
Time-to-Event Supervised Genetic Algorithm Enables Induction Chemotherapy Decision Making for Nasopharyngeal Carcinoma.
IEEE Access, 2021
Comparison Study on Force/Motion Transmissibility of a Novel 6-DOF Parallel Mechanism and Stewart Platform.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021
Detection-and-Excitation Neural Network Achieves Accurate Nasopharyngeal Carcinoma Segmentation in Multi-modality MR Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Adaptive Control of the Structural Balance for a Class of Complex Dynamical Networks.
J. Syst. Sci. Complex., 2020
A Collaborative Dictionary Learning Model for Nasopharyngeal Carcinoma Segmentation on Multimodalities MR Sequences.
Comput. Math. Methods Medicine, 2020
HPOLabeler: improving prediction of human protein-phenotype associations by learning to rank.
Bioinform., 2020
Tracking control for the dynamic links of discrete-time complex dynamical network via state observer.
Appl. Math. Comput., 2020
Anatomical Point-of-Interest Detection in Head MRI Using Multipoint Feature Descriptor.
IEEE Access, 2020
Channel-Attention U-Net: Channel Attention Mechanism for Semantic Segmentation of Esophagus and Esophageal Cancer.
IEEE Access, 2020
Proceedings of the 5th International Conference on Control, Robotics and Cybernetics, 2020
2019
Modeling method of internet public information data mining based on probabilistic topic model.
J. Supercomput., 2019
U-Net Plus: Deep Semantic Segmentation for Esophagus and Esophageal Cancer in Computed Tomography Images.
IEEE Access, 2019
A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images Through Recurrent Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
LPI Radar Waveform Recognition Based on Multi-Branch MWC Compressed Sampling Receiver.
IEEE Access, 2018
2017
A ULA-Based MWC Discrete Compressed Sampling Structure for Carrier Frequency and AOA Estimation.
IEEE Access, 2017
Remaining useful life prediction of rotating machinery using hierarchical deep neural network.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
2016
IEEE Trans. Medical Imaging, 2016
2015
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Proceedings of the Medical Imaging 2015: Image Processing, 2015
2012
Computerized Segmentation and Characterization of Breast Lesions in Dynamic Contrast-Enhanced MR Images Using Fuzzy c-Means Clustering and Snake Algorithm.
Comput. Math. Methods Medicine, 2012
2011
Characterizing the Clustered Microcalcifications on Mammograms to Predict the Pathological Classification and Grading: A Mathematical Modeling Approach.
J. Digit. Imaging, 2011
2008
Proceedings of the PACIIA 2008, 2008