Jun Shi

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 92

Top Venues

IEEE J. Biomed. Health Informatics

EMBC

CoRR

Neurocomputing

Publications

Huili Zhang, Lehang Guo, Jun Wang, Shihui Ying, Jun Shi
Correction to: Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Image. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Yang Zhao, Bodong Cheng, Najun Niu, Jun Wang, Tieyong Zeng, Guixu Zhang, Jun Shi, Juncheng Li
Few sampling meshes-based 3D tooth segmentation via region-aware graph convolutional network. Expert Syst. Appl. 252 (2024)
Lipeng Cai, Jun Shi, Shaoyi Du, Yue Gao, Shihui Ying
Self-adaptive subspace representation from a geometric intuition. Pattern Recognit. 149 (2024)
Tianxiang Huang, Jing Shi, Juncheng Li, Jun Wang, Jun Du, Jun Shi
Involution Transformer Based U-Net for Landmark Detection in Ultrasound Images for Diagnosis of Infantile DDH. IEEE J. Biomed. Health Informatics 28 (8) (2024)
Juncheng Li, Bodong Cheng, Ying Chen, Guangwei Gao, Jun Shi, Tieyong Zeng
EWT: Efficient Wavelet-Transformer for single image denoising. Neural Networks 177 (2024)
Yinghua Fu, Junfeng Liu, Jun Shi
TSCA-Net: Transformer based spatial-channel attention segmentation network for medical images. Comput. Biol. Medicine 170 (2024)
Jian Wang, Liang Qiao, Shichong Zhou, Jin Zhou, Jun Wang, Juncheng Li, Shihui Ying, Cai Chang, Jun Shi
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images. IEEE Trans. Medical Imaging 43 (7) (2024)
Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi
Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images. IEEE Trans. Medical Imaging 43 (3) (2024)
Ke Sun, Jing Shi, Ge Jin, Juncheng Li, Jun Wang, Jun Du, Jun Shi
Dual-domain MIM based contrastive learning for CAD of developmental dysplasia of the hip with ultrasound images. Biomed. Signal Process. Control. 97 (2024)
Juncheng Li, Bodong Cheng, Najun Niu, Guangwei Gao, Shihui Ying, Jun Shi, Tieyong Zeng
A fine-grained orthodontics segmentation model for 3D intraoral scan data. Comput. Biol. Medicine 168 (2024)
Qiong Wu, Jun Wang, Zongqiong Sun, Lei Xiao, Wenhao Ying, Jun Shi
Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer Using Multi-View Adaptive Weighted Graph Convolutional Networks. IEEE J. Biomed. Health Informatics 27 (11) (2023)
Saisai Ding, Jun Wang, Juncheng Li, Jun Shi
Multi-scale Prototypical Transformer for Whole Slide Image Classification. MICCAI (6) (2023)
Jinhe Dong, Jun Shi, Yue Gao, Shihui Ying
GAME: GAussian Mixture Error-based meta-learning architecture. Neural Comput. Appl. 35 (28) (2023)
Zheng Li, Shihui Ying, Jun Wang, Hongjian He, Jun Shi
Reconstruction of Quantitative Susceptibility Mapping From Total Field Maps With Local Field Maps Guided UU-Net. IEEE J. Biomed. Health Informatics 27 (4) (2023)
Zhiyang Lu, Jian Wang, Zheng Li, Shihui Ying, Jun Wang, Jun Shi, Dinggang Shen
Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Zhaowu Lu, Jun Wang, Rui Mao, Minhua Lu, Jun Shi
Jointly Composite Feature Learning and Autism Spectrum Disorder Classification Using Deep Multi-Output Takagi-Sugeno-Kang Fuzzy Inference Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Huili Zhang, Lehang Guo, Jun Wang, Shihui Ying, Jun Shi
Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Images. IEEE J. Biomed. Health Informatics 27 (3) (2023)
Ronglin Gong, Jing Shi, Jian Wang, Jun Wang, Jianwei Zhou, Xiaofeng Lu, Jun Du, Jun Shi
Hybrid-supervised bidirectional transfer networks for computer-aided diagnosis. Comput. Biol. Medicine 165 (2023)
Xiangmin Han, Bangming Gong, Lehang Guo, Jun Wang, Shihui Ying, Shuo Li, Jun Shi
B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning. Neural Networks 164 (2023)
Hao Zhu, Jun Wang, Yin-Ping Zhao, Minhua Lu, Jun Shi
Contrastive Multi-View Composite Graph Convolutional Networks Based on Contribution Learning for Autism Spectrum Disorder Classification. IEEE Trans. Biomed. Eng. 70 (6) (2023)
Saisai Ding, Zhiyang Gao, Jun Wang, Minhua Lu, Jun Shi
Fractal graph convolutional network with MLP-mixer based multi-path feature fusion for classification of histopathological images. Expert Syst. Appl. 212 (2023)
Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi
Multi-Scale Efficient Graph-Transformer for Whole Slide Image Classification. IEEE J. Biomed. Health Informatics 27 (12) (2023)
Xiangmin Han, Jun Wang, Shihui Ying, Jun Shi, Dinggang Shen
ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis. Pattern Recognit. 134 (2023)
Saisai Ding, Jun Wang, Juncheng Li, Jun Shi
Multi-Scale Prototypical Transformer for Whole Slide Image Classification. CoRR (2023)
Hanhui Yang, Juncheng Li, Lok Ming Lui, Shihui Ying, Jun Shi, Tieyong Zeng
Fast MRI Reconstruction via Edge Attention. CoRR (2023)
Zhiyang Lu, Jun Li, Chaoyue Wang, Rongjun Ge, Lili Chen, Hongjian He, Jun Shi
S2Q-Net: Mining the High-Pass Filtered Phase Data in Susceptibility Weighted Imaging for Quantitative Susceptibility Mapping. IEEE J. Biomed. Health Informatics 26 (8) (2022)
Jun Wang, Fengyexin Zhang, Xiuyi Jia, Xin Wang, Han Zhang, Shihui Ying, Qian Wang, Jun Shi, Dinggang Shen
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition. Medical Image Anal. 75 (2022)
Ronglin Gong, Linlin Wang, Jun Wang, Binjie Ge, Hang Yu, Jun Shi
Self-Distilled Supervised Contrastive Learning for diagnosis of breast cancers with histopathological images. Comput. Biol. Medicine 146 (2022)
Ronglin Gong, Xiangmin Han, Jun Wang, Shihui Ying, Jun Shi
Self-Supervised Bi-Channel Transformer Networks for Computer-Aided Diagnosis. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Zhongyi Hu, Jun Wang, Chunxiang Zhang, Zhenzhen Luo, Xiaoqing Luo, Lei Xiao, Jun Shi
Uncertainty Modeling for Multicenter Autism Spectrum Disorder Classification Using Takagi-Sugeno-Kang Fuzzy Systems. IEEE Trans. Cogn. Dev. Syst. 14 (2) (2022)
Weichang Ding, Jun Wang, Weijun Zhou, Shichong Zhou, Cai Chang, Jun Shi
Joint Localization and Classification of Breast Cancer in B-Mode Ultrasound Imaging via Collaborative Learning With Elastography. IEEE J. Biomed. Health Informatics 26 (9) (2022)
Jun Shi, Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Jun Wang, Shihui Ying
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images. CoRR (2022)
Zhiyang Gao, Zhiyang Lu, Jun Wang, Shihui Ying, Jun Shi
A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Xiangmin Han, Xiaoyan Fei, Jun Wang, Tao Zhou, Shihui Ying, Jun Shi, Dinggang Shen
Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities. IEEE Trans. Medical Imaging 41 (8) (2022)
Shilin Wu, Jun Shi, Zhibo Chen
HG-FCN: Hierarchical Grid Fully Convolutional Network for Fast VVC Intra Coding. IEEE Trans. Circuits Syst. Video Technol. 32 (8) (2022)
Bangming Gong, Jing Shi, Xiangmin Han, Huan Zhang, Yuemin Huang, Liwei Hu, Jun Wang, Jun Du, Jun Shi
Diagnosis of Infantile Hip Dysplasia With B-Mode Ultrasound via Two-Stage Meta-Learning Based Deep Exclusivity Regularized Machine. IEEE J. Biomed. Health Informatics 26 (1) (2022)
Ronglin Gong, Shihui Ying, Jun Shi
Task-Driven Self-Supervised BI-Channel Networks Learning for Diagnosis of Breast Cancers with Mammography. ICIP (2022)
Yanbin He, Zhiyang Lu, Jun Wang, Jun Shi
A Channel Attention Based MLP-Mixer Network for Motor Imagery Decoding With EEG. ICASSP (2022)
Jun Wang, Zhuangzhuang Zhao, Zhaohong Deng, Kup-Sze Choi, Lejun Gong, Jun Shi, Shitong Wang
Manifold-Regularized Multitask Fuzzy System Modeling With Low-Rank and Sparse Structures in Consequent Parameters. IEEE Trans. Fuzzy Syst. 30 (5) (2022)
Weiwen Wu, Jun Shi, Hengyong Yu, Weifei Wu, Vince Vardhanabhuti
Tensor Gradient L₀-Norm Minimization-Based Low-Dose CT and Its Application to COVID-19. IEEE Trans. Instrum. Meas. 70 (2021)
Ronglin Gong, Zhiyang Lu, Jun Shi
Task-driven Self-supervised Bi-channel Networks Learning for Diagnosis of Breast Cancers with Mammography. CoRR (2021)
Huili Zhang, Lehang Guo, Dan Wang, Jun Wang, Lili Bao, Shihui Ying, Huixiong Xu, Jun Shi
Multi-Source Transfer Learning Via Multi-Kernel Support Vector Machine Plus for B-Mode Ultrasound-Based Computer-Aided Diagnosis of Liver Cancers. IEEE J. Biomed. Health Informatics 25 (10) (2021)
Zheng Li, Chaofeng Wang, Jun Wang, Shihui Ying, Jun Shi
Lightweight adaptive weighted network for single image super-resolution. Comput. Vis. Image Underst. 211 (2021)
Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang, Jun Shi
COVID-AL: The diagnosis of COVID-19 with deep active learning. Medical Image Anal. 68 (2021)
Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen
Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images. CoRR (2021)
Zhiyang Lu, Jun Li, Zheng Li, Hongjian He, Jun Shi
Reconstruction Of Quantitative Susceptibility Maps From Phase Of Susceptibility Weighted Imaging With Cross-Connected Ψ-Net. ISBI (2021)
Zheng Li, Jun Li, Chaoyue Wang, Zhiyang Lu, Jun Wang, Hongjian He, Jun Shi
Meta-Learning Based Interactively Connected Clique U-Net for Quantitative Susceptibility Mapping. IEEE Trans. Computational Imaging 7 (2021)
Xiaoyan Fei, Shichong Zhou, Xiangmin Han, Jun Wang, Shihui Ying, Cai Chang, Weijun Zhou, Jun Shi
Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities. Pattern Recognit. 120 (2021)
Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen
Two-Stage Self-supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images. MICCAI (6) (2021)
Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities. CoRR (2020)
Zhiyang Lu, Jun Li, Zheng Li, Hongjian He, Jun Shi
Reconstruction of Quantitative Susceptibility Maps from Phase of Susceptibility Weighted Imaging with Cross-Connected Ψ-Net. CoRR (2020)
Lu Shen, Jun Shi, Yun Dong, Shihui Ying, Yaxin Peng, Lu Chen, Qi Zhang, Hedi An, Yingchun Zhang
An Improved Deep Polynomial Network Algorithm for Transcranial Sonography-Based Diagnosis of Parkinson's Disease. Cogn. Comput. 12 (3) (2020)
Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. CoRR (2020)
Xiaoyan Fei, Jun Wang, Shihui Ying, Zhongyi Hu, Jun Shi
Projective parameter transfer based sparse multiple empirical kernel learning Machine for diagnosis of brain disease. Neurocomputing 413 (2020)
Jun Wang, Lichi Zhang, Qian Wang, Lei Chen, Jun Shi, Xiaobo Chen, Zuoyong Li, Dinggang Shen
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation. IEEE Trans. Medical Imaging 39 (10) (2020)
Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities. MICCAI (6) (2020)
Bangming Gong, Lu Shen, Cai Chang, Shichong Zhou, Weijun Zhou, Shuo Li, Jun Shi
BI-Modal Ultrasound Breast Cancer Diagnosis Via Multi-View Deep Neural Network SVM. ISBI (2020)
Xiaoyan Fei, Lu Shen, Shihui Ying, Yehua Cai, Qi Zhang, Wentao Kong, Weijun Zhou, Jun Shi
Parameter Transfer Deep Neural Network for Single-Modal B-Mode Ultrasound-Based Computer-Aided Diagnosis. Cogn. Comput. 12 (6) (2020)
Jun Shi, Xiao Zheng, Jinjie Wu, Bangming Gong, Qi Zhang, Shihui Ying
Quaternion Grassmann average network for learning representation of histopathological image. Pattern Recognit. 89 (2019)
Kai Zhang, Shuhang Gu, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. CoRR (2019)
Jun Shi, Zheng Li, Shihui Ying, Chaofeng Wang, Qingping Liu, Qi Zhang, Pingkun Yan
MR Image Super-Resolution via Wide Residual Networks With Fixed Skip Connection. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Yan Li, Fanqing Meng, Jun Shi
Learning using privileged information improves neuroimaging-based CAD of Alzheimer's disease: a comparative study. Medical Biol. Eng. Comput. 57 (7) (2019)
Jun Shi, Zeyu Xue, Yakang Dai, Bo Peng, Yun Dong, Qi Zhang, Yingchun Zhang
Cascaded Multi-Column RVFL+ Classifier for Single-Modal Neuroimaging-Based Diagnosis of Parkinson's Disease. IEEE Trans. Biomed. Eng. 66 (8) (2019)
Xinying Yu, Bo Peng, Jun Shi, Jianbin Zhu, Yakang Dai
3D Convolutional Networks Based Automatic Diagnosis of Alzheimer's Disease Using Structural MRI. CISP-BMEI (2019)
Zheng Li, Qingping Liu, Yiran Li, Qiu Ge, Yuanqi Shang, Donghui Song, Ze Wang, Jun Shi
A Two-Stage Multi-loss Super-Resolution Network for Arterial Spin Labeling Magnetic Resonance Imaging. MICCAI (3) (2019)
Jun Wang, Ying Zhang, Tao Zhou, Zhaohong Deng, Huifang Huang, Shitong Wang, Jun Shi, Dinggang Shen
Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis. MICCAI (3) (2019)
Xiaoyan Fei, Weijun Zhou, Lu Shen, Cai Chang, Shichong Zhou, Jun Shi
Ultrasound-Based Diagnosis of Breast Tumor with Parameter Transfer Multilayer Kernel Extreme Learning Machine. EMBC (2019)
Kai Zhang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Shuhang Gu, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. ICCV Workshops (2019)
Chaofeng Wang, Zheng Li, Jun Shi
Lightweight Image Super-Resolution with Adaptive Weighted Learning Network. CoRR (2019)
Jun Shi, Minjun Yan, Yun Dong, Xiao Zheng, Qi Zhang, Hedi An
Multiple Kernel Learning Based Classification of Parkinson's Disease With Multi-Modal Transcranial Sonography. EMBC (2018)
Fanqing Meng, Jun Shi, Bangming Gong, Qi Zhang, Lehang Guo, Dan Wang, Huixiong Xu
B-Mode Ultrasound Based Diagnosis of Liver Cancer With CEUS Images as Privileged Information. EMBC (2018)
Bangming Gong, Jun Shi, Shihui Ying, Yakang Dai, Qi Zhang, Yun Dong, Hedi An, Yingchun Zhang
Neuroimaging-based diagnosis of Parkinson's disease with deep neural mapping large margin distribution machine. Neurocomputing 320 (2018)
Lu Shen, Jun Shi, Bangming Gong, Yingchun Zhang, Yun Dong, Qi Zhang, Hedi An
Multiple Empirical Kernel Mapping Based Broad Learning System for Classification of Parkinson's Disease With Transcranial Sonography. EMBC (2018)
Jun Shi, Xiao Zheng, Yan Li, Qi Zhang, Shihui Ying
Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease. IEEE J. Biomed. Health Informatics 22 (1) (2018)
Shihui Ying, Zhijie Wen, Jun Shi, Yaxin Peng, Jigen Peng, Hong Qiao
Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 29 (7) (2018)
Haohao Xu, Qi Zhang, Huaipeng Dong, Xiyuan Jiang, Jun Shi
Speckle Suppression of Ultrasonography Using Maximum Likelihood Estimation and Weighted Nuclear Norm Minimization. EMBC (2018)
Lukasz Kidzinski, Sharada Prasanna Mohanty, Carmichael F. Ong, Zhewei Huang, Shuchang Zhou, Anton Pechenko, Adam Stelmaszczyk, Piotr Jarosik, Mikhail Pavlov, Sergey Kolesnikov, Sergey M. Plis, Zhibo Chen, Zhizheng Zhang, Jiale Chen, Jun Shi, Zhuobin Zheng, Chun Yuan, Zhihui Lin, Henryk Michalewski, Piotr Milos, Blazej Osinski, Andrew Melnik, Malte Schilling, Helge J. Ritter, Sean F. Carroll, Jennifer L. Hicks, Sergey Levine, Marcel Salathé, Scott L. Delp
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments. CoRR (2018)
Xiao Zheng, Jun Shi, Qi Zhang, Shihui Ying, Yan Li
Improving MRI-based diagnosis of Alzheimer's disease via an ensemble privileged information learning algorithm. ISBI (2017)
Yiyi Qian, Jun Shi, Xiao Zheng, Qi Zhang, Lehang Guo, Dan Wang, Huixiong Xu
Multimodal Ultrasound imaging based diagnosis of liver cancers with a two-stage multi-view learning framework. EMBC (2017)
Junjie Zhang, Jie Yin, Qi Zhang, Jun Shi, Yan Li
Robust sound event classification with bilinear multi-column ELM-AE and two-stage ensemble learning. EURASIP J. Audio Speech Music. Process. 2017 (2017)
Jun Shi, Jinjie Wu, Yan Li, Qi Zhang, Shihui Ying
Histopathological Image Classification With Color Pattern Random Binary Hashing-Based PCANet and Matrix-Form Classifier. IEEE J. Biomed. Health Informatics 21 (5) (2017)
Lehang Guo, Dan Wang, Huixiong Xu, Yiyi Qian, Chaofeng Wang, Xiao Zheng, Qi Zhang, Jun Shi
CEUS-based classification of liver tumors with deep canonical correlation analysis and multi-kernel learning. EMBC (2017)
Chaofeng Wang, Jun Shi, Qi Zhang, Shihui Ying
Histopathological image classification with bilinear convolutional neural networks. EMBC (2017)
Jinjie Wu, Jun Shi, Yan Li, Jingfeng Suo, Qi Zhang
Histopathological image classification using random binary hashing based PCANet and bilinear classifier. EUSIPCO (2016)
Xiao Zheng, Jun Shi, Yan Li, Xiao Liu, Qi Zhang
Multi-modality stacked deep polynomial network based feature learning for Alzheimer's disease diagnosis. ISBI (2016)
Xiao Zheng, Jun Shi, Shihui Ying, Qi Zhang, Yan Li
Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information Learning Framework. MLMI@MICCAI (2016)
Jun Shi, Shichong Zhou, Xiao Liu, Qi Zhang, Minhua Lu, Tianfu Wang
Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset. Neurocomputing 194 (2016)
Jinjie Wu, Jun Shi, Shihui Ying, Qi Zhang, Yan Li
Learning Representation for Histopathological Image with Quaternion Grassmann Average Network. MLMI@MICCAI (2016)
Huali Chang, Zhenping Chen, Qinghua Huang, Jun Shi, Xuelong Li
Graph-based learning for segmentation of 3D ultrasound images. Neurocomputing 151 (2015)
Xiao Liu, Jun Shi, Congzhi Wang
Hessian regularization based non-negative matrix factorization for gene expression data clustering. EMBC (2015)
Jun Shi, Qikun Jiang, Qi Zhang, Qinghua Huang, Xuelong Li
Sparse kernel entropy component analysis for dimensionality reduction of biomedical data. Neurocomputing 168 (2015)
Xiao Liu, Jun Shi, Qi Zhang
Tumor Classification by Deep Polynomial Network and Multiple Kernel Learning on Small Ultrasound Image Dataset. MLMI (2015)
Jie Zhu, Jun Shi
Hessian regularization based semi-supervised dimensionality reduction for neuroimaging data of Alzheimer's disease. ISBI (2014)
Qikun Jiang, Jun Shi
Sparse kernel entropy component analysis for dimensionality reduction of neuroimaging data. EMBC (2014)
Jie Zhu, Jun Shi, Xiao Liu, Xin Chen
Co-training based semi-supervised classification of Alzheimer's disease. DSP (2014)
Xiao Liu, Jun Shi, Shichong Zhou, Minhua Lu
An iterated Laplacian based semi-supervised dimensionality reduction for classification of breast cancer on ultrasound images. EMBC (2014)
Shichong Zhou, Jun Shi, Jie Zhu, Yin Cai, Ruiling Wang
Shearlet-based texture feature extraction for classification of breast tumor in ultrasound image. Biomed. Signal Process. Control. 8 (6) (2013)
Jun Shi, Yin Cai, Jie Zhu, Jin Zhong, Fei Wang
SEMG-based hand motion recognition using cumulative residual entropy and extreme learning machine. Medical Biol. Eng. Comput. 51 (4) (2013)
Jun Shi, Yin Cai
Joint Sparse Coding Spatial Pyramid Matching for Classification of Color Blood Cell Image. MLMI (2013)
Qi Zhang, Yuanyuan Wang, Jianying Ma, Jun Shi
Contour detection of atherosclerotic plaques in IVUS images using ellipse template matching and particle swarm optimization. EMBC (2011)

Jun Shi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jun Shi