Yonghong Shi

According to our database, Yonghong Shi authored at least 26 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FANCL: Feature-Guided Attention Network with Curriculum Learning for Brain Metastases Segmentation.

Zijiang Liu, Xiaoyu Liu, Linhao Qu, Yonghong Shi

CoRR, 2024

Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation.

Xiaoyu Liu, Linhao Qu, Ziyue Xie, Yonghong Shi, Zhijian Song

CoRR, 2024

Dual Bidirectional Copy-Paste with Shape Constraint for Semi-Supervised Image Segmentation.

Bowei Shen, Xiaoquan Huang, Yonghong Shi, Shiyao Chen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation.

Xiaoyu Liu, Linhao Qu, Ziyue Xie, Jiayue Zhao, Yonghong Shi, Zhijian Song

CoRR, 2023

2022

Vertebrae Labeling via End-to-End Integral Regression Localization and Multi-Label Classification Network.

Chunli Qin, Ji Zhou, Demin Yao, Han Zhuang, Hui Wang, Shiyao Chen, Yonghong Shi, Zhijian Song

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Co-segmentation of Multi-modality Spinal Image Using Channel and Spatial Attention.

Yaocong Zou, Yonghong Shi

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2d-3d Hierarchical Feature Fusion Network For Segmentation Of Bone Structure In Knee Mr Image.

Hui Wang, Demin Yao, Jiayi Chen, Yanjing Liu, Wensheng Li, Yonghong Shi

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning.

Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Guorong Wu

IEEE Trans. Neural Networks Learn. Syst., 2020

Anatomical Skull-Stripping Template and Improved Boundary-Oriented Quantitative Segmentation Evaluation Metrics.

Shiqing Wang, Yonghong Shi, Han Zhuang, Chunli Qin, Wensheng Li

J. Medical Imaging Health Informatics, 2020

Segmentation of Gliomas Based on a Double-Pathway Residual Convolution Neural Network Using Multi-Modality Information.

Mingyuan Pan, Yonghong Shi, Zhijian Song

J. Medical Imaging Health Informatics, 2020

Residual Block-based Multi-Label Classification and Localization Network with Integral Regression for Vertebrae Labeling.

Chunli Qin, Demin Yao, Han Zhuang, Hui Wang, Yonghong Shi, Zhijian Song

CoRR, 2020

2017

Robust multi-atlas label propagation by deep sparse representation.

Chen Zu, Zhengxia Wang, Daoqiang Zhang, Peipeng Liang, Yonghong Shi, Dinggang Shen, Guorong Wu

Pattern Recognit., 2017

Multimodal image registration based on binary gradient angle descriptor.

Dongsheng Jiang, Yonghong Shi, Demin Yao, Yifeng Fan, Manning Wang, Zhijian Song

Int. J. Comput. Assist. Radiol. Surg., 2017

2016

miLBP: a robust and fast modality-independent 3D LBP for multimodal deformable registration.

Dongsheng Jiang, Yonghong Shi, Demin Yao, Manning Wang, Zhijian Song

Int. J. Comput. Assist. Radiol. Surg., 2016

Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning.

Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu

Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

2015

Predict brain MR image registration via sparse learning of appearance and transformation.

Qian Wang, Minjeong Kim, Yonghong Shi, Guorong Wu, Dinggang Shen

Medical Image Anal., 2015

2014

Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning.

Yeqin Shao, Yaozong Gao, Yanrong Guo, Yonghong Shi, Xin Yang, Dinggang Shen

IEEE Trans. Medical Imaging, 2014

2012

Dense Deformation Reconstruction via Sparse Coding.

Yonghong Shi, Guorong Wu, Zhijian Song, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

2011

Learning Statistical Correlation of Prostate Deformations for Fast Registration.

Yonghong Shi, Shu Liao, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

2008

Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics.

Yonghong Shi, Feihu Qi, Zhong Xue, Liya Chen, Kyoko Ito, Hidenori Matsuo, Dinggang Shen

IEEE Trans. Medical Imaging, 2008

The Research on the Intelligent Controller Based on Elastic-Integral Algorithm and Application on the Water-Level System.

Yonghong Shi, Yanyan Liu

Proceedings of the PACIIA 2008, 2008

Hierarchical Shape Statistical Model for Segmentation of Lung Fields in Chest Radiographs.

Yonghong Shi, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Learning Longitudinal Deformations for Adaptive Segmentation of Lung Fields from Serial Chest Radiographs.

Yonghong Shi, Dinggang Shen

Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008

2006

Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics.

Yonghong Shi, Feihu Qi, Zhong Xue, Kyoko Ito, Hidenori Matsuo, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

2004

Adaptive Stereo Brain Images Segmentation Based on the Weak Membrane Model.

Yonghong Shi, Feihu Qi

Proceedings of the Computational and Information Science, First International Symposium, 2004

Feature-based Deformable Registration of Brain Images.

Yonghong Shi, Feihu Qi

Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004