史勇红｜复旦大学｜学者主页

2026

Image Content Matters: An Image Content Aware State Space Model for Accelerated MRI Reconstruction

Yucong Meng, Zhiwei Yang, Kexue Fu, Zhijian Song, Yonghong Shi

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

HiPC: Historical information-driven partial label-loss joint correction for robust medical image classification

Jianyang Li, Yucong Meng, Xin Ma, Yonghong Shi

Knowledge-Based Systems

DOI

2026

HUR-MACL: High-uncertainty region-guided multi-architecture collaborative learning for head and neck multi-organ segmentation

Xiaoyu Liu, Siwen Wei, Linhao Qu, Mingyuan Pan, Chengsheng Zhang, Yonghong Shi, Zhijian Song

Biomedical Signal Processing and Control

DOI

2026

UDV-Net: A hybrid CNN and transformer vein segmentation network with vascular prior and spatial awareness

Bowei Shen, Xiaoquan Huang, Yuli Li, Xinghuan Li, Lili Ma, Yonghong Shi, Shiyao Chen

Medical Image Analysis

DOI

2026

Corrigendum to "Selection-based prompting with synthesized candidates unlocks high-performance clinical abbreviation disambiguation via open-source LLMs" [J. Biomed. Inform. 181 (2026) 105085].

Siwen Wei, Xiaoyu Liu, Yonghong Shi

Journal of Biomedical Informatics

DOI

2026

Selection-based prompting with synthesized candidates unlocks high-performance clinical abbreviation disambiguation via open-source LLMs

Siwen Wei, Xiaoyu Liu, Yonghong Shi

Journal of Biomedical Informatics

DOI

2025

Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification

Yucong Meng, Zhiwei Yang, Yonghong Shi, Zhijian Song

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

CoroPCRNet: Integrative prediction of hemodynamically significant coronary stenosis by fusing point cloud network and radiomics feature

Ziyue Xie, Wei He, Xiaoyu Liu, Linhao Qu, Mingzhi Yuan, Guanyu Qiao, Weifeng Guo, Yonghong Shi

Journal of Biomechanics

DOI

2025

Deep Mutual Learning Among Partially Labeled Datasets for Multi-Organ Segmentation

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

IEEE Transactions on Medical Imaging

DOI

2025

FANCL: Feature-guided attention network with curriculum learning for brain metastases segmentation

Zijiang Liu, Xiaoyu Liu, Linhao Qu, Yonghong Shi

Neurocomputing

DOI

2025

Multi-Label Conditioned Diffusion for Cardiac MR Image Augmentation and Segmentation

Jianyang Li, Xin Ma, Yonghong Shi

Bioengineering

DOI

2025

Dual-Stage Clean-Sample Selection for Incremental Noisy Label Learning

Jianyang Li, Xin Ma, Yonghong Shi

Bioengineering

DOI

2025

VesselMamba: 3D vessel segmentation in CTA images using Mamba with enhanced Spatial-Channel Attention

Ziyue Xie, Xiaoquan Huang, Shiyao Chen, Yonghong Shi

Biomedical Signal Processing and Control

DOI

2025

DH-Mamba: Exploring Dual-Domain Hierarchical State Space Models for MRI Reconstruction

Yucong Meng, Zhiwei Yang, Kexue Fu, Zhijian Song, Yonghong Shi

IEEE transactions on circuits and systems for video technology (Print)

DOI

2024

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

Bowei Shen, Xiaoquan Huang, Yonghong Shi, Shiyao Chen

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

2024

White matter biomarker for predicting de novo Parkinson’s disease using tract-based spatial statistics: a machine learning-based model

Qi Zhang, Haoran Wang, Yonghong Shi, Wen-Sheng Li

Quantitative Imaging in Medicine and Surgery

DOI

2024

Towards more precise automatic analysis: a systematic review of deep learning-based multi-organ segmentation

Xiaoyu Liu, Lin-Hao Qu, Zi-Yue Xie, Jia-Yue Zhao, Yonghong Shi, Zhijian Song

BioMedical Engineering OnLine

DOI

2023

基于FPFH-PointNet的术中膝关节软骨表面点云自动提取

刘颜静，史勇红

《解剖学报》

2023

Segmentation of Portal Vein in Multiphase CTA Image Based on Unsupervised Domain Transfer and Pseudo Label

Genshen Song, Ziyue Xie, Haoran Wang, Shiman Li, Demin Yao, Shiyao Chen, Yonghong Shi

Diagnostics

DOI

2023

Segmentation of multi-regional skeletal muscle in abdominal CT image for cirrhotic sarcopenia diagnosis

Genshen Song, Ji Zhou, Kang Wang, Demin Yao, Shi-Yao Chen, Yonghong Shi

Frontiers in Neuroscience

DOI

2022

Prediction Model of Hemorrhage Transformation in Patient with Acute Ischemic Stroke Based on Multiparametric MRI Radiomics and Machine Learning

Yucong Meng, Haoran Wang, Chuanfu Wu, Xiaoyu Liu, Linhao Qu, Yonghong Shi

Brain Sciences

DOI

2022

Fusion of multimodality image and point cloud for spatial surface registration for knee arthroplasty

Yanjing Liu, Demin Yao, Zanjing Zhai, Hui Wang, Jiayi Chen, Chuanfu Wu, Hua Qiao, Huiwu Li, Yonghong Shi

International Journal of Medical Robotics and Computer Assisted Surgery

DOI

2022

An artificial intelligence-driven image quality assessment system for whole-body [^18F]FDG PET/CT

C. Qi, Shuo Wang, Hao-Jun Yu, Yi-Qiu Zhang, Peng-Cheng Hu, Hui Tan, Yonghong Shi, Hongcheng Shi

European Journal of Nuclear Medicine and Molecular Imaging

DOI

2021

基于磁共振影像组学特征分类胶质瘤和单发性脑转移瘤

陈嘉懿，王宝，刘英超，史勇红，宋志坚

《解剖学报》

DOI

2021

DIAGNOSIS OF EARLY STAGE PARKINSON’S DISEASE ON QUANTITATIVE SUSCEPTIBILITY MAPPING USING COMPLEX NETWORK WITH ONE-WAY ANOVA F-TEST FEATURE SELECTION

Han Zhuang, Xueling Liu, HUI WANG, Chunli Qin, Yuxin Li, Wensheng Li, Yonghong Shi

Journal of Mechanics in Medicine and Biology

DOI

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

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

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, Shi-Yao Chen, Yonghong Shi, Zhijian Song

IEEE Transactions on Neural Networks and Learning Systems

DOI

2021

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

Yaocong Zou, Yonghong Shi

Lecture notes in computer science

DOI

2020

早期帕金森病相关脑结构的定量磁化率成像

庄晗，刘学玲，秦春丽，王辉，李郁欣，李文生，史勇红

《解剖学报》

DOI

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

DOI

2020

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

Shi-Qing Wang, Yonghong Shi, Han Zhuang, Chunli Qin, Wen-Sheng Li

J. Medical Imaging Health Informatics

DOI

2019

基于磁共振T1图像的正常人脑组织体积量化研究

王士卿，史勇红，庄晗，秦春丽，李文生

《解剖学报》

DOI

2019

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

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

IEEE Transactions on Neural Networks and Learning Systems

DOI

2018

基于磁共振T1成像的帕金森病相关脑结构体积差异性分析

刘桂雪，史勇红，王士卿，李文生

《解剖学报》

2018

Computer-aided detection in chest radiography based on artificial intelligence: a survey

Chunli Qin, Demin Yao, Yonghong Shi, Zhijian Song

BioMedical Engineering OnLine

DOI

2017

Multimodal image registration based on binary gradient angle descriptor

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

International Journal of Computer Assisted Radiology and Surgery

DOI

2016

基于DTI技术的健康成人胼胝体、扣带回、中脑白质纤维束密度随年龄变化关系的研究

王亚平，史勇红，刘桂雪，李文生

《神经解剖学杂志》

2016

Fast and robust multimodal image registration using a local derivative pattern

Dongsheng Jiang, Yonghong Shi, Xinrong Chen, Manning Wang, Zhijian Song

Medical Physics

DOI

2016

Robust multi-atlas label propagation by deep sparse representation

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

Pattern Recognition

DOI

2016

Alteration of the Intra- and Cross- Hemisphere Posterior Default Mode Network in Frontal Lobe Glioma Patients

Haosu Zhang, Yonghong Shi, Chengjun Yao, Weijun Tang, Demin Yao, Chenxi Zhang, Manning Wang, Jinsong Wu, Zhijian Song

Scientific Reports

DOI

2016

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

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

International Journal of Computer Assisted Radiology and Surgery

DOI

2016

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

Pei Dong, Yangrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang G. Shen, Guorong Wu A

Lecture notes in computer science

DOI

2015

Segmentation of MR image using local and global region based geodesic model

Xiuming Li, Dongsheng Jiang, Yonghong Shi, Wensheng Li

BioMedical Engineering OnLine

DOI

2014

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

Qian Wang, Minjeong Kim, Yonghong Shi, Guorong Wu A, Dinggang G. Shen

Medical Image Analysis

DOI

2014

Detection and segmentation of virus plaque using HOG and SVM: Toward automatic plaque assay

Yihao Mao, Hong Liu, Rong Ye, Yonghong Shi, Zhijian Song

Bio-Medical Materials and Engineering

DOI

2014

Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning

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

IEEE Transactions on Medical Imaging

DOI

2012

Dense Deformation Reconstruction via Sparse Coding

Yonghong Shi, Guorong Wu A, Zhijian Song, Dinggang G. Shen

Lecture notes in computer science

DOI

2011

Learning statistical correlation for fast prostate registration in image‐guided radiotherapy

Yonghong Shi, Shu Liao, Dinggang G. Shen

Medical Physics

DOI

2011

Learning Statistical Correlation of Prostate Deformations for Fast Registration

Yonghong Shi, Shu Liao, Dinggang G. Shen

Lecture notes in computer science

DOI

2010

Differences in the architecture of low-grade and high-grade gliomas evaluated using fiber density index and fractional anisotropy

Yiyong Chen, Yonghong Shi, Zhijian Song

Journal of Clinical Neuroscience

DOI

2008

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

Yonghong Shi, Dinggang G. Shen

Lecture notes in computer science

DOI

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, K. Ito, H. Matsuo, Dinggang G. Shen

IEEE Transactions on Medical Imaging

DOI

2008

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

Yonghong Shi, Dinggang G. Shen

Lecture notes in computer science

DOI

2007

基于患者动态信息的序列胸部X光片的自适应分割

史勇红

《上海交通大学》

2007

Active Shape Models Using Scale Invariant Feature Transform

史勇红，戚飞虎，栾红霞，吴国荣

Journal of Shanghai Jiaotong University(Science)

2006

基于群体和特定病人的形状统计分割序列X片上的肺部区域

史勇红，戚飞虎，栾红霞，吴国荣

《中国医疗器械杂志》

2006

一种自适应立体脑图像分割方法

史勇红，戚飞虎

《中国医疗器械杂志》

2006

Deformable Registration of MR Brains with Best Features

吴国荣，戚飞虎，史勇红，栾红霞

Journal of Shanghai Jiaotong University(Science)

2006

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

Yonghong Shi, F. Qi, Z. Xue, Kyoko Ito, Hidenori Matsuo, D. Shen

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2006

[An approach to adaptive stereo brain image's segmentation].

Yonghong Shi, F. Qi

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation

2004

Adaptive Stereo Brain Images Segmentation Based on the Weak Membrane Model

Yonghong Shi, F. Qi

International Conference on Computational Intelligence and Security

DOI

2004

Feature-based deformable registration of brain images

Yonghong Shi, F. Qi

Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems

DOI

2002

基于模糊聚类的彩色图象分割算法的研究

史勇红

《昆明理工大学》

2001

一种基于Freeman链码描述及其应用的快速图象复原算法

史勇红，左渝斌，潘晓露，李一民

《昆明理工大学学报(自然科学版)》

精选作品

期刊论文

Image Content Matters: An Image Content Aware State Space Model for Accelerated MRI Reconstruction

HiPC: Historical information-driven partial label-loss joint correction for robust medical image classification

HUR-MACL: High-uncertainty region-guided multi-architecture collaborative learning for head and neck multi-organ segmentation

UDV-Net: A hybrid CNN and transformer vein segmentation network with vascular prior and spatial awareness

Corrigendum to "Selection-based prompting with synthesized candidates unlocks high-performance clinical abbreviation disambiguation via open-source LLMs" [J. Biomed. Inform. 181 (2026) 105085].

Selection-based prompting with synthesized candidates unlocks high-performance clinical abbreviation disambiguation via open-source LLMs

Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification

CoroPCRNet: Integrative prediction of hemodynamically significant coronary stenosis by fusing point cloud network and radiomics feature

Deep Mutual Learning Among Partially Labeled Datasets for Multi-Organ Segmentation

FANCL: Feature-guided attention network with curriculum learning for brain metastases segmentation

Multi-Label Conditioned Diffusion for Cardiac MR Image Augmentation and Segmentation

Dual-Stage Clean-Sample Selection for Incremental Noisy Label Learning

VesselMamba: 3D vessel segmentation in CTA images using Mamba with enhanced Spatial-Channel Attention

DH-Mamba: Exploring Dual-Domain Hierarchical State Space Models for MRI Reconstruction

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

White matter biomarker for predicting de novo Parkinson’s disease using tract-based spatial statistics: a machine learning-based model

Towards more precise automatic analysis: a systematic review of deep learning-based multi-organ segmentation

基于FPFH-PointNet的术中膝关节软骨表面点云自动提取

Segmentation of Portal Vein in Multiphase CTA Image Based on Unsupervised Domain Transfer and Pseudo Label

Segmentation of multi-regional skeletal muscle in abdominal CT image for cirrhotic sarcopenia diagnosis

Prediction Model of Hemorrhage Transformation in Patient with Acute Ischemic Stroke Based on Multiparametric MRI Radiomics and Machine Learning

Fusion of multimodality image and point cloud for spatial surface registration for knee arthroplasty

An artificial intelligence-driven image quality assessment system for whole-body [^18F]FDG PET/CT

基于磁共振影像组学特征分类胶质瘤和单发性脑转移瘤

DIAGNOSIS OF EARLY STAGE PARKINSON’S DISEASE ON QUANTITATIVE SUSCEPTIBILITY MAPPING USING COMPLEX NETWORK WITH ONE-WAY ANOVA F-TEST FEATURE SELECTION

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

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

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

早期帕金森病相关脑结构的定量磁化率成像

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

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

基于磁共振T1图像的正常人脑组织体积量化研究

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

基于磁共振T1成像的帕金森病相关脑结构体积差异性分析

Computer-aided detection in chest radiography based on artificial intelligence: a survey

Multimodal image registration based on binary gradient angle descriptor

基于DTI技术的健康成人胼胝体、扣带回、中脑白质纤维束密度随年龄变化关系的研究

Fast and robust multimodal image registration using a local derivative pattern

Robust multi-atlas label propagation by deep sparse representation

Alteration of the Intra- and Cross- Hemisphere Posterior Default Mode Network in Frontal Lobe Glioma Patients

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

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

Segmentation of MR image using local and global region based geodesic model

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

Detection and segmentation of virus plaque using HOG and SVM: Toward automatic plaque assay

Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning

Dense Deformation Reconstruction via Sparse Coding

Learning statistical correlation for fast prostate registration in image‐guided radiotherapy

Learning Statistical Correlation of Prostate Deformations for Fast Registration

Differences in the architecture of low-grade and high-grade gliomas evaluated using fiber density index and fractional anisotropy

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

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

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

基于患者动态信息的序列胸部X光片的自适应分割

Active Shape Models Using Scale Invariant Feature Transform

基于群体和特定病人的形状统计分割序列X片上的肺部区域

一种自适应立体脑图像分割方法

Deformable Registration of MR Brains with Best Features

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

[An approach to adaptive stereo brain image's segmentation].

Adaptive Stereo Brain Images Segmentation Based on the Weak Membrane Model

Feature-based deformable registration of brain images

基于模糊聚类的彩色图象分割算法的研究

一种基于Freeman链码描述及其应用的快速图象复原算法

会议论文

一种新的面向心脏MR图像分割的基于先验掩码条件生成的数据增强方法

基于定量磁化率图像的早期帕金森病相关脑结构研究

基于弱膜模型的自适应立体脑图像分割方法

预印本

Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction

Segmentation of Brain Gliomas Based on a Multi-modal Multi-scale Double-pathway 3D Residual CNN

研究方向