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Lizhi Liu
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2020 – today
- 2024
- [j33]Lin Li, Zhiwei Chen, Yangyang Ma, Lizhi Liu
:
A Lightweight High-Resolution Remote Sensing Image Cultivated Land Extraction Method Integrating Transfer Learning and SENet. IEEE Access 12: 113694-113704 (2024) - [j32]Ling Ma, Qiliang Fan
A novel Residual and Gated Network for prostate segmentation on MR images. Biomed. Signal Process. Control. 87(Part A): 105508 (2024) - [j31]Shuchao Chen
LD-UNet: A long-distance perceptual model for segmentation of blurred boundaries in medical images. Comput. Biol. Medicine 171: 108120 (2024) - [j30]Dawei Li, Lizhi Liu, Shan Xu, Shichao Jin:
TrackPlant3D: 3D organ growth tracking framework for organ-level dynamic phenotyping. Comput. Electron. Agric. 226: 109435 (2024) - [j29]Lizhi Liu, Zilin Gao, Yinhe Wang, Yongfu Li:
Stabilization and synchronization control for discrete-time complex networks via the auxiliary role of edges subsystem. Neurocomputing 568: 127029 (2024) - [j28]Jifei Miao, Kit Ian Kou
Quaternion Tensor Left Ring Decomposition and Application for Color Image Inpainting. J. Sci. Comput. 101(1): 1 (2024) - [c14]Yanyan Zhang, Pingping Lu, Lizhi Liu, Yuxing Chen:
An Advanced Multiaperture Reconstruction Method for Distributed Array SAR. IGARSS 2024: 11397-11400 - 2023
- [j27]Zilin Gao
Stabilization of a structurally balanced complex network with similar nodes of different dimensions. Appl. Math. Comput. 458: 128238 (2023) - [j26]Yuanquan Hao, Huiyan Jiang
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation. Comput. Biol. Medicine 159: 106956 (2023) - [j25]Peitao Gao
Double tracking control for the directed complex dynamic network via the state observer of outgoing links. Int. J. Syst. Sci. 54(4): 895-906 (2023) - [j24]Lizhi Liu
Mapping the Distribution and Dynamics of Coniferous Forests in Large Areas from 1985 to 2020 Combining Deep Learning and Google Earth Engine. Remote. Sens. 15(5): 1235 (2023) - [c13]Zhen Wang
PM2.5 concentration prediction model based on SA-LSTM. AISNS 2023: 68-71 - [i1]Juan Han, Kit Ian Kou, Jifei Miao, Lizhi Liu, Haojiang Li:
L2, 1-Norm Regularized Quaternion Matrix Completion Using Sparse Representation and Quaternion QR Decomposition. CoRR abs/2309.03764 (2023) - 2022
- [j23]Lizhi Liu
HPODNets: deep graph convolutional networks for predicting human protein-phenotype associations. Bioinform. 38(3): 799-808 (2022) - [j22]Sai Li, Qiong Gong, Haojiang Li, Shuchao Chen, Yifei Liu, Guangying Ruan, Lin Zhu, Lizhi Liu, Hongbo Chen:
Automatic location scheme of anatomical landmarks in 3D head MRI based on the scale attention hourglass network. Comput. Methods Programs Biomed. 214: 106564 (2022) - [j21]Zilin Gao
Stabilization and synchronization control for complex dynamical networks with dynamic link subsystem. Inf. Sci. 609: 1588-1600 (2022) - [j20]Guihua Tao
SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance. Medical Image Anal. 78: 102381 (2022) - [j19]Yang Li
NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and Metastatic Lymph Nodes in MR Images. IEEE Trans. Medical Imaging 41(7): 1639-1650 (2022) - [c12]Guihua Tao, Haojiang Li, Dandan Lu, Ziqin Ling, Lizhi Liu, Hongmin Cai:
Reler: Relearning Controversial Regions to Accurately Segment Nasopharyngeal Carcinoma. BIBM 2022: 1207-1212 - [c11]Kaiwei Deng
Lightweight steel pipe counting study based on improved MobileCount. RICAI 2022: 934-939 - 2021
- [j18]Demin Liu
Time-to-Event Supervised Genetic Algorithm Enables Induction Chemotherapy Decision Making for Nasopharyngeal Carcinoma. IEEE Access 9: 98701-98711 (2021) - [j17]Lizhi Liu
HPOFiller: identifying missing protein-phenotype associations by graph convolutional network. Bioinform. 37(19): 3328-3336 (2021) - [j16]Peitao Gao, Yinhe Wang, Lizhi Liu, LiLi Zhang, Xiao Tang:
Asymptotical state synchronization for the controlled directed complex dynamic network via links dynamics. Neurocomputing 448: 60-66 (2021) - [j15]Shuai Ren, Ling Zhan, Shuchao Chen, Haitao Dai, Guangying Ruan, Sai Li, Lizhi Liu, Run Lin, Hongbo Chen:
Segmentation and Registration of the Liver in Dynamic Contrast-Enhanced Computed Tomography Images. J. Medical Imaging Health Informatics 11(3): 773-780 (2021) - [j14]Ying Guo
A Deep Fusion uNet for Mapping Forests at Tree Species Levels with Multi-Temporal High Spatial Resolution Satellite Imagery. Remote. Sens. 13(18): 3613 (2021) - [c10]Guihua Tao, Haojiang Li, Lizhi Liu, Hongmin Cai:
Detection-and-Excitation Neural Network Achieves Accurate Nasopharyngeal Carcinoma Segmentation in Multi-modality MR Images. BIBM 2021: 1063-1068 - [c9]Chenglin Dong, Haitao Liu, Longqi Cai, Lizhi Liu:
Comparison Study on Force/Motion Transmissibility of a Novel 6-DOF Parallel Mechanism and Stewart Platform. ICIRA (3) 2021: 437-447 - 2020
- [j13]Guoheng Huang
Channel-Attention U-Net: Channel Attention Mechanism for Semantic Segmentation of Esophagus and Esophageal Cancer. IEEE Access 8: 122798-122810 (2020) - [j12]Sai Li
Anatomical Point-of-Interest Detection in Head MRI Using Multipoint Feature Descriptor. IEEE Access 8: 173239-173249 (2020) - [j11]Lizhi Liu
Tracking control for the dynamic links of discrete-time complex dynamical network via state observer. Appl. Math. Comput. 369 (2020) - [j10]Lizhi Liu
HPOLabeler: improving prediction of human protein-phenotype associations by learning to rank. Bioinform. 36(14): 4180-4188 (2020) - [j9]Haiyan Wang, Guoqiang Han, Haojiang Li
A Collaborative Dictionary Learning Model for Nasopharyngeal Carcinoma Segmentation on Multimodalities MR Sequences. Comput. Math. Methods Medicine 2020: 7562140:1-7562140:15 (2020) - [j8]Zilin Gao
Adaptive Control of the Structural Balance for a Class of Complex Dynamical Networks. J. Syst. Sci. Complex. 33(3): 725-742 (2020) - [c8]Bei Peng, Lizhi Liu:
Query Optimization for Air Quality Big Data based on Hive-ORC. CRC 2020: 19-23
2010 – 2019
- 2019
- [j7]Shuchao Chen, Han Yang, Jiawen Fu, Weijian Mei
U-Net Plus: Deep Semantic Segmentation for Esophagus and Esophageal Cancer in Computed Tomography Images. IEEE Access 7: 82867-82877 (2019) - [j6]Shaofei Wu, Jun Liu
Modeling method of internet public information data mining based on probabilistic topic model. J. Supercomput. 75(9): 5882-5897 (2019) - [c7]Jia-bin Huang, Enhong Zhuo, Haojiang Li, Lizhi Liu, Hongmin Cai, Yangming Ou
Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images Through Recurrent Attention. MICCAI (5) 2019: 494-502 - [c6]Maysam Shahedi
A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling. Medical Imaging: Image-Guided Procedures 2019: 109512I - 2018
- [j5]Tao Chen, Lizhi Liu
LPI Radar Waveform Recognition Based on Multi-Branch MWC Compressed Sampling Receiver. IEEE Access 6: 30342-30354 (2018) - 2017
- [j4]Tao Chen, Lizhi Liu
A ULA-Based MWC Discrete Compressed Sampling Structure for Carrier Frequency and AOA Estimation. IEEE Access 5: 14154-14164 (2017) - [c5]Zhiqiang Tian, Lizhi Liu, Baowei Fei
Deep convolutional neural network for prostate MR segmentation. Medical Imaging: Image-Guided Procedures 2017: 101351L - [c4]Min Xia
Remaining useful life prediction of rotating machinery using hierarchical deep neural network. SMC 2017: 2778-2783 - 2016
- [j3]Zhiqiang Tian, Lizhi Liu, Zhenfeng Zhang, Baowei Fei
Superpixel-Based Segmentation for 3D Prostate MR Images. IEEE Trans. Medical Imaging 35(3): 791-801 (2016) - 2015
- [c3]Zhiqiang Tian, Lizhi Liu, Baowei Fei
A supervoxel-based segmentation method for prostate MR images. Medical Imaging: Image Processing 2015: 941318 - [c2]Zhiqiang Tian, Lizhi Liu, Baowei Fei
A fully automatic multi-atlas based segmentation method for prostate MR images. Medical Imaging: Image Processing 2015: 941340 - 2012
- [j2]Yachun Pang, Li Li, Wenyong Hu, Yanxia Peng, Lizhi Liu, Yuanzhi Shao:
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: 634907:1-634907:10 (2012) - 2011
- [j1]Yuanzhi Shao, Lizhi Liu, Meng-Jie Bie, Chan-chan Li, Yao-pan Wu, Xiao-ming Xie, Li Li:
Characterizing the Clustered Microcalcifications on Mammograms to Predict the Pathological Classification and Grading: A Mathematical Modeling Approach. J. Digit. Imaging 24(5): 764-771 (2011)
2000 – 2009
- 2008
- [c1]Lizhi Liu, Jun Liu:
Research of Top-N Frequent Closed Itemsets Mining Algorithm. PACIIA (2) 2008: 168-172
Coauthor Index
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