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ORCIDYonghong Shi
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2020 – today
- 2024
[c12]Bowei Shen, Xiaoquan Huang, Yonghong Shi, Shiyao Chen:
Dual Bidirectional Copy-Paste with Shape Constraint for Semi-Supervised Image Segmentation. ISBI 2024: 1-5- [i4]Xiaoyu Liu, Linhao Qu, Ziyue Xie, Yonghong Shi, Zhijian Song:
Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation. CoRR abs/2407.12611 (2024) - [i3]Zijiang Liu, Xiaoyu Liu, Linhao Qu, Yonghong Shi:
FANCL: Feature-Guided Attention Network with Curriculum Learning for Brain Metastases Segmentation. CoRR abs/2410.22057 (2024) - 2023
- [i2]Xiaoyu Liu, Linhao Qu, Ziyue Xie, Jiayue Zhao, Yonghong Shi, Zhijian Song:
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation. CoRR abs/2303.00232 (2023) - 2022
- [j10]Chunli Qin
, Ji Zhou, Demin Yao, Han Zhuang, Hui Wang, Shiyao Chen, Yonghong Shi, Zhijian Song:
Vertebrae Labeling via End-to-End Integral Regression Localization and Multi-Label Classification Network. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2726-2736 (2022) - 2021
- [c11]Hui Wang, Demin Yao, Jiayi Chen, Yanjing Liu, Wensheng Li, Yonghong Shi:
2d-3d Hierarchical Feature Fusion Network For Segmentation Of Bone Structure In Knee Mr Image. ISBI 2021: 575-578 - [c10]Yaocong Zou, Yonghong Shi:
Co-segmentation of Multi-modality Spinal Image Using Channel and Spatial Attention. MLMI@MICCAI 2021: 287-295 - 2020
- [j9]Shiqing Wang, Yonghong Shi, Han Zhuang, Chunli Qin, Wensheng Li:
Anatomical Skull-Stripping Template and Improved Boundary-Oriented Quantitative Segmentation Evaluation Metrics. J. Medical Imaging Health Informatics 10(3): 693-704 (2020) - [j8]Mingyuan Pan, Yonghong Shi, Zhijian Song:
Segmentation of Gliomas Based on a Double-Pathway Residual Convolution Neural Network Using Multi-Modality Information. J. Medical Imaging Health Informatics 10(11): 2784-2794 (2020) - [j7]Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Guorong Wu:
Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3061-3072 (2020) - [i1]Chunli Qin, Demin Yao, Han Zhuang, Hui Wang, Yonghong Shi, Zhijian Song:
Residual Block-based Multi-Label Classification and Localization Network with Integral Regression for Vertebrae Labeling. CoRR abs/2001.00170 (2020)
2010 – 2019
- 2017
- [j6]Dongsheng Jiang, Yonghong Shi, Demin Yao, Yifeng Fan, Manning Wang, Zhijian Song:
Multimodal image registration based on binary gradient angle descriptor. Int. J. Comput. Assist. Radiol. Surg. 12(12): 2157-2167 (2017) - [j5]Chen Zu, Zhengxia Wang, Daoqiang Zhang, Peipeng Liang, Yonghong Shi, Dinggang Shen, Guorong Wu:
Robust multi-atlas label propagation by deep sparse representation. Pattern Recognit. 63: 511-517 (2017) - 2016
- [j4]Dongsheng Jiang, Yonghong Shi, Demin Yao, Manning Wang, Zhijian Song:
miLBP: a robust and fast modality-independent 3D LBP for multimodal deformable registration. Int. J. Comput. Assist. Radiol. Surg. 11(6): 997-1005 (2016) - [c9]Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu:
Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning. Patch-MI@MICCAI 2016: 51-59 - 2015
- [j3]Qian Wang, Minjeong Kim, Yonghong Shi, Guorong Wu, Dinggang Shen:
Predict brain MR image registration via sparse learning of appearance and transformation. Medical Image Anal. 20(1): 61-75 (2015) - 2014
- [j2]Yeqin Shao, Yaozong Gao, Yanrong Guo, Yonghong Shi, Xin Yang, Dinggang Shen:
Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning. IEEE Trans. Medical Imaging 33(9): 1761-1780 (2014) - 2012
- [c8]Yonghong Shi, Guorong Wu, Zhijian Song, Dinggang Shen:
Dense Deformation Reconstruction via Sparse Coding. MLMI 2012: 36-44 - 2011
- [c7]Yonghong Shi, Shu Liao, Dinggang Shen:
Learning Statistical Correlation of Prostate Deformations for Fast Registration. MLMI 2011: 1-9
2000 – 2009
- 2008
- [j1]Yonghong Shi, Feihu Qi, Zhong Xue, Liya Chen, Kyoko Ito, Hidenori Matsuo, Dinggang Shen:
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics. IEEE Trans. Medical Imaging 27(4): 481-494 (2008) - [c6]Yonghong Shi, Dinggang Shen:
Learning Longitudinal Deformations for Adaptive Segmentation of Lung Fields from Serial Chest Radiographs. MIAR 2008: 413-420 - [c5]Yonghong Shi, Dinggang Shen:
Hierarchical Shape Statistical Model for Segmentation of Lung Fields in Chest Radiographs. MICCAI (1) 2008: 417-424 - [c4]Yonghong Shi, Yanyan Liu:
The Research on the Intelligent Controller Based on Elastic-Integral Algorithm and Application on the Water-Level System. PACIIA (2) 2008: 319-323 - 2006
- [c3]Yonghong Shi, Feihu Qi, Zhong Xue, Kyoko Ito, Hidenori Matsuo, Dinggang Shen:
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics. MICCAI (1) 2006: 83-91 - 2004
- [c2]Yonghong Shi, Feihu Qi:
Feature-based Deformable Registration of Brain Images. CBMS 2004: 553-557 - [c1]Yonghong Shi, Feihu Qi:
Adaptive Stereo Brain Images Segmentation Based on the Weak Membrane Model. CIS 2004: 601-606
Coauthor Index
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