Feature-based Deformable Registration of Brain Images. - Yonghong Shi; Feihu Qi (CBMS, 2004)

Adaptive Stereo Brain Images Segmentation Based on the Weak Membrane Model. - Yonghong Shi; Feihu Qi (CIS, 2004)

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 (MICCAI (1), 2006)

Learning Longitudinal Deformations for Adaptive Segmentation of Lung Fields from Serial Chest Radiographs. - Yonghong Shi; Dinggang Shen (MIAR, 2008)

Hierarchical Shape Statistical Model for Segmentation of Lung Fields in Chest Radiographs. - Yonghong Shi; Dinggang Shen (MICCAI (1), 2008)

The Research on the Intelligent Controller Based on Elastic-Integral Algorithm and Application on the Water-Level System. - Yonghong Shi; Yanyan Liu 002 (PACIIA (2), 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)

Learning Statistical Correlation of Prostate Deformations for Fast Registration. - Yonghong Shi; Shu Liao; Dinggang Shen (MLMI, 2011)

Dense Deformation Reconstruction via Sparse Coding. - Yonghong Shi; Guorong Wu 001; Zhijian Song; Dinggang Shen (MLMI, 2012)

Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning. - Yeqin Shao; Yaozong Gao; Yanrong Guo; Yonghong Shi; Xin Yang 009; Dinggang Shen (IEEE Trans. Medical Imaging, 2014)

Predict brain MR image registration via sparse learning of appearance and transformation. - Qian Wang 001; Minjeong Kim; Yonghong Shi; Guorong Wu 001; Dinggang Shen (Medical Image Anal., 2015)

Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning. - Pei Dong; Yanrong Guo; Yue Gao 002; Peipeng Liang; Yonghong Shi; Qian Wang 001; Dinggang Shen; Guorong Wu 001 (Patch-MI@MICCAI, 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)

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)

Robust multi-atlas label propagation by deep sparse representation. - Chen Zu; Zhengxia Wang; Daoqiang Zhang; Peipeng Liang; Yonghong Shi; Dinggang Shen; Guorong Wu 001 (Pattern Recognit., 2017)

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)

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)

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)

Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning. - Pei Dong; Yanrong Guo; Yue Gao 002; Peipeng Liang; Yonghong Shi; Guorong Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

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 (ISBI, 2021)

Co-segmentation of Multi-modality Spinal Image Using Channel and Spatial Attention. - Yaocong Zou; Yonghong Shi (MLMI@MICCAI, 2021)

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)

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)

Dual Bidirectional Copy-Paste with Shape Constraint for Semi-Supervised Image Segmentation. - Bowei Shen; Xiaoquan Huang; Yonghong Shi; Shiyao Chen (ISBI, 2024)

Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation. - Xiaoyu Liu; Linhao Qu; Ziyue Xie; Yonghong Shi; Zhijian Song (CoRR, 2024)

Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction. - Yucong Meng; Zhiwei Yang; Minghong Duan; Yonghong Shi; Zhijian Song (CoRR, 2024)

Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification. - Yucong Meng; Zhiwei Yang; Yonghong Shi; Zhijian Song (AAAI, 2025)

VesselMamba: 3D vessel segmentation in CTA images using Mamba with enhanced Spatial-Channel Attention. - Ziyue Xie; Xiaoquan Huang; Shiyao Chen; Yonghong Shi (Biomed. Signal Process. Control., 2025)

FANCL: Feature-guided attention network with curriculum learning for brain metastases segmentation. - Zijiang Liu; Xiaoyu Liu; Linhao Qu; Yonghong Shi (Neurocomputing, 2025)

DM-Mamba: Dual-domain Multi-scale Mamba for MRI reconstruction. - Yucong Meng; Zhiwei Yang; Zhijian Song; Yonghong Shi (CoRR, 2025)