Yonghong Shi

37 papers A* 2B 1C 1Journal 23Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
DH-Mamba: Exploring Dual-Domain Hierarchical State Space Models for MRI Reconstruction.
IEEE Trans. Circuits Syst. Video Technol.
Yucong Meng, Zhiwei Yang, Kexue Fu, Zhijian Song, Yonghong Shi
2026 J jnl
Deep Mutual Learning Among Partially Labeled Datasets for Multi-Organ Segmentation.
IEEE Trans. Medical Imaging
Xiaoyu Liu, Linhao Qu, Ziyue Xie, Yonghong Shi, Zhijian Song
2026 J jnl
HUR-MACL: High-Uncertainty Region-Guided Multi-Architecture Collaborative Learning for Head and Neck Multi-Organ Segmentation.
CoRR
Xiaoyu Liu, Siwen Wei, Linhao Qu, Mingyuan Pan, Chengsheng Zhang, Yonghong Shi, Zhijian Song
2026 A* conf
Image Content Matters: An Image Content Aware State Space Model for Accelerated MRI Reconstruction.
AAAI
Yucong Meng, Zhiwei Yang, Kexue Fu, Zhijian Song, Yonghong Shi
2026 J jnl
UDV-Net: A hybrid CNN and transformer vein segmentation network with vascular prior and spatial awareness.
Medical Image Anal.
Bowei Shen, Xiaoquan Huang, Yuli Li, Xinghuan Li, Lili Ma, Yonghong Shi, Shiyao Chen
2025 A* conf
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification.
AAAI
Yucong Meng, Zhiwei Yang, Yonghong Shi, Zhijian Song
2025 J jnl
DM-Mamba: Dual-domain Multi-scale Mamba for MRI reconstruction.
CoRR
Yucong Meng, Zhiwei Yang, Zhijian Song, Yonghong Shi
2025 J jnl
FANCL: Feature-guided attention network with curriculum learning for brain metastases segmentation.
Neurocomputing
Zijiang Liu, Xiaoyu Liu, Linhao Qu, Yonghong Shi
2025 J jnl
VesselMamba: 3D vessel segmentation in CTA images using Mamba with enhanced Spatial-Channel Attention.
Biomed. Signal Process. Control.
Ziyue Xie, Xiaoquan Huang, Shiyao Chen, Yonghong Shi
2024 J jnl
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification.
CoRR
Yucong Meng, Zhiwei Yang, Yonghong Shi, Zhijian Song
2024 J jnl
Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction.
CoRR
Yucong Meng, Zhiwei Yang, Minghong Duan, Yonghong Shi, Zhijian Song
2024 J jnl
Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation.
CoRR
Xiaoyu Liu, Linhao Qu, Ziyue Xie, Yonghong Shi, Zhijian Song
2024 — conf
Dual Bidirectional Copy-Paste with Shape Constraint for Semi-Supervised Image Segmentation.
ISBI
Bowei Shen, Xiaoquan Huang, Yonghong Shi, Shiyao Chen
2024 J jnl
FANCL: Feature-Guided Attention Network with Curriculum Learning for Brain Metastases Segmentation.
CoRR
Zijiang Liu, Xiaoyu Liu, Linhao Qu, Yonghong Shi
2023 J jnl
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation.
CoRR
Xiaoyu Liu, Linhao Qu, Ziyue Xie, Jiayue Zhao, Yonghong Shi, Zhijian Song
2022 J jnl
Vertebrae Labeling via End-to-End Integral Regression Localization and Multi-Label Classification Network.
IEEE Trans. Neural Networks Learn. Syst.
Chunli Qin, Ji Zhou, Demin Yao, Han Zhuang, Hui Wang, Shiyao Chen, Yonghong Shi, Zhijian Song
2021 — conf
2d-3d Hierarchical Feature Fusion Network For Segmentation Of Bone Structure In Knee Mr Image.
ISBI
Hui Wang, Demin Yao, Jiayi Chen, Yanjing Liu, Wensheng Li, Yonghong Shi
2021 — conf
Co-segmentation of Multi-modality Spinal Image Using Channel and Spatial Attention.
MLMI@MICCAI
Yaocong Zou, Yonghong Shi
2020 J jnl
Anatomical Skull-Stripping Template and Improved Boundary-Oriented Quantitative Segmentation Evaluation Metrics.
J. Medical Imaging Health Informatics
Shiqing Wang, Yonghong Shi, Han Zhuang, Chunli Qin, Wensheng Li
2020 J jnl
Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning.
IEEE Trans. Neural Networks Learn. Syst.
Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Guorong Wu
2020 J jnl
Residual Block-based Multi-Label Classification and Localization Network with Integral Regression for Vertebrae Labeling.
CoRR
Chunli Qin, Demin Yao, Han Zhuang, Hui Wang, Yonghong Shi, Zhijian Song
2020 J jnl
Segmentation of Gliomas Based on a Double-Pathway Residual Convolution Neural Network Using Multi-Modality Information.
J. Medical Imaging Health Informatics
Mingyuan Pan, Yonghong Shi, Zhijian Song
2017 J jnl
Multimodal image registration based on binary gradient angle descriptor.
Int. J. Comput. Assist. Radiol. Surg.
Dongsheng Jiang, Yonghong Shi, Demin Yao, Yifeng Fan, Manning Wang, Zhijian Song
2017 J jnl
Robust multi-atlas label propagation by deep sparse representation.
Pattern Recognit.
Chen Zu, Zhengxia Wang, Daoqiang Zhang, Peipeng Liang, Yonghong Shi, Dinggang Shen, Guorong Wu
2016 — conf
Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning.
Patch-MI@MICCAI
Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu
2016 J jnl
miLBP: a robust and fast modality-independent 3D LBP for multimodal deformable registration.
Int. J. Comput. Assist. Radiol. Surg.
Dongsheng Jiang, Yonghong Shi, Demin Yao, Manning Wang, Zhijian Song
2015 J jnl
Predict brain MR image registration via sparse learning of appearance and transformation.
Medical Image Anal.
Qian Wang, Minjeong Kim, Yonghong Shi, Guorong Wu, Dinggang Shen
2014 J jnl
Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning.
IEEE Trans. Medical Imaging
Yeqin Shao, Yaozong Gao, Yanrong Guo, Yonghong Shi, Xin Yang, Dinggang Shen
2012 — conf
Dense Deformation Reconstruction via Sparse Coding.
MLMI
Yonghong Shi, Guorong Wu, Zhijian Song, Dinggang Shen
2011 — conf
Learning Statistical Correlation of Prostate Deformations for Fast Registration.
MLMI
Yonghong Shi, Shu Liao, Dinggang Shen
2008 — conf
Hierarchical Shape Statistical Model for Segmentation of Lung Fields in Chest Radiographs.
MICCAI (1)
Yonghong Shi, Dinggang Shen
2008 — conf
Learning Longitudinal Deformations for Adaptive Segmentation of Lung Fields from Serial Chest Radiographs.
MIAR
Yonghong Shi, Dinggang Shen
2008 J jnl
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics.
IEEE Trans. Medical Imaging
Yonghong Shi, Feihu Qi, Zhong Xue, Liya Chen, Kyoko Ito, Hidenori Matsuo, Dinggang Shen
2008 — conf
The Research on the Intelligent Controller Based on Elastic-Integral Algorithm and Application on the Water-Level System.
PACIIA (2)
Yonghong Shi, Yanyan Liu
2006 — conf
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics.
MICCAI (1)
Yonghong Shi, Feihu Qi, Zhong Xue, Kyoko Ito, Hidenori Matsuo, Dinggang Shen
2004 C conf
Adaptive Stereo Brain Images Segmentation Based on the Weak Membrane Model.
CIS
Yonghong Shi, Feihu Qi
2004 B conf
Feature-based Deformable Registration of Brain Images.
CBMS
Yonghong Shi, Feihu Qi