Jun Shi

157 papers B 1C 3Misc 1Journal 117Unranked 35
YearRankTypeTitle / Venue / Authors
2026 J jnl
Channel-wise joint disentanglement representation learning for B-mode and super-resolution ultrasound based CAD of breast cancer.
Medical Image Anal.
Yuhang Zheng, Jiale Xu, Qing Hua, Xiaohong Jia, Xueqin Hou, Yanfeng Yao, Zheng Wei, Yulu Zhang, Fanggang Wu, Wei Guo, Yuan Tian, Jun Wang, Shujun Xia, Yijie Dong, Jun Shi, Jianqiao Zhou
2026 J jnl
DAGU-Net: Cascaded multi-scale aware network based on dual attention grouping module for medical image segmentation.
Biomed. Signal Process. Control.
Junfeng Liu, Yinghua Fu, Jun Shi
2026 J jnl
Dual-masked contrastive learning based hypergraph foundation model for whole slide images.
Pattern Recognit.
Xueying Zhou, Saisai Ding, Wenhua Zhang, Juncheng Li, Jun Wang, Jiasheng Chen, Jun Shi
2026 J jnl
Enhancing feature discrimination with pseudo-labels for foundation model in segmentation of 3D medical images.
Neural Networks
Ge Jin, Qian Zhang, Yong Cheng, Ming Xu, Yingwen Zhu, De Yu, Yongqi Yuan, Juncheng Li, Jun Shi
2026 J jnl
Frequency Error-Guided Under-sampling Optimization for Multi-Contrast MRI Reconstruction.
CoRR
Xinming Fang, Chaoyan Huang, Juncheng Li, Jun Wang, Jun Shi, Guixu Zhang
2026 J jnl
RA-TSNet: A lightweight region-aware network for high-accuracy pediatric tooth segmentation in dental X-ray.
Biomed. Signal Process. Control.
Najun Niu, Yang Zhao, Hua Wang, Jun Shi, Juncheng Li
2025 J jnl
A Trustworthy Curriculum Learning Guided Multi-Target Domain Adaptation Network for Autism Spectrum Disorder Classification.
IEEE J. Biomed. Health Informatics
Jiale Dun, Jun Wang, Juncheng Li, Qianhui Yang, Wenlong Hang, Xiaofeng Lu, Shihui Ying, Jun Shi
2025 J jnl
A lightweight self-ensemble feedback recurrent network for fast MRI reconstruction.
Int. J. Mach. Learn. Cybern.
Juncheng Li, Hanhui Yang, Lok Ming Lui, Guixu Zhang, Jun Shi, Tieyong Zeng
2025 J jnl
Collaborative Transformer Prototype Network With Pretrained Contrastive Language-Audio Encoder for Open Set Audio Recognition.
IEEE Trans. Signal Process.
Haiyan Yang, Jun Wang, Sheng Li, Di Zhou, Xingwei Chen, Juncheng Li, Yufeng Hua, Jun Shi
2025 J jnl
Deep unfolding network with spatial alignment for multi-modal MRI reconstruction.
Medical Image Anal.
Hao Zhang, Qi Wang, Jun Shi, Shihui Ying, Zhijie Wen
2025 J jnl
Dual-Domain Spatial-Temporal reconstruction network for reconstruction of cine CMR.
Biomed. Signal Process. Control.
Jingbo He, Bo Peng, Shihui Ying, Juncheng Li, Yakang Dai, Jun Shi
2025 J jnl
Fast MRI reconstruction: A thorough survey from single-modal to multi-modal.
Expert Syst. Appl.
Weiyi Lyu, Xinming Fang, Chaoyan Huang, Minhua Lu, Jun Wang, Jun Shi, Juncheng Li
2025 J jnl
HGMSurvNet: A two-stage hypergraph learning network for multimodal cancer survival prediction.
Medical Image Anal.
Saisai Ding, Linjin Li, Ge Jin, Jun Wang, Shihui Ying, Jun Shi
2025 J jnl
High-Frequency Modulated Transformer for Multi-Contrast MRI Super-Resolution.
IEEE Trans. Medical Imaging
Juncheng Li, Hanhui Yang, Qiaosi Yi, Minhua Lu, Jun Shi, Tieyong Zeng
2025 J jnl
Hypergraph Foundation Model for Brain Disease Diagnosis.
IEEE Trans. Neural Networks Learn. Syst.
Xiangmin Han, Rundong Xue, Jingxi Feng, Yifan Feng, Shaoyi Du, Jun Shi, Yue Gao
2025 J jnl
LMS-Net: A Learned Mumford-Shah Network For Few-Shot Medical Image Segmentation.
CoRR
Shengdong Zhang, Fan Jia, Xiang Li, Hao Zhang, Jun Shi, Liyan Ma, Shihui Ying
2025 J jnl
LMS-Net: A learned Mumford-Shah network for binary few-shot medical image segmentation.
Medical Image Anal.
Shengdong Zhang, Fan Jia, Xiang Li, Hao Zhang, Jun Shi, Liyan Ma, Shihui Ying
2025 J jnl
Mamba-Based Modality Disentanglement Network for Multi-Contrast MRI Reconstruction.
CoRR
Weiyi Lyu, Xinming Fang, Jun Wang, Jun Shi, Guixu Zhang, Juncheng Li
2025 J jnl
Mitigating noisy labels in long-tailed image classification via multi-level collaborative learning.
Appl. Intell.
Xinyang Zhou, Zhijie Wen, Yuandi Zhao, Jun Shi, Shihui Ying
2025 J jnl
Multi-resolution based dual-channel UNet with cross clique for medical image dense prediction.
Expert Syst. Appl.
Xueying Zhou, Ge Jin, Yang Liu, Juncheng Li, Jun Wang, Shihui Ying, Yanyan Zheng, Jun Shi
2025 J jnl
Re-Visible Dual-Domain Self-Supervised Deep Unfolding Network for MRI Reconstruction.
CoRR
Hao Zhang, Qi Wang, Jian Sun, Zhijie Wen, Jun Shi, Shihui Ying
2025 J jnl
Topological GCN Guided Improved Conformer for Detection of Hip Landmarks From Ultrasound Images.
IEEE J. Biomed. Health Informatics
Tianxiang Huang, Jing Shi, Ge Jin, Juncheng Li, Jun Wang, Qian Wang, Jun Du, Jun Shi
2025 J jnl
Traffic Image Restoration under Adverse Weather via Frequency-Aware Mamba.
CoRR
Liwen Pan, Longguang Wang, Guangwei Gao, Jun Wang, Jun Shi, Juncheng Li
2025 J jnl
Uncertainty-Aware Graph Self-Training for Autism Spectrum Disorder Classification in Multiple Centers.
Int. J. Imaging Syst. Technol.
Qianhui Yang, Jun Wang, Jiale Dun, Juncheng Li, Jun Shi
2024 J jnl
A fine-grained orthodontics segmentation model for 3D intraoral scan data.
Comput. Biol. Medicine
Juncheng Li, Bodong Cheng, Najun Niu, Guangwei Gao, Shihui Ying, Jun Shi, Tieyong Zeng
2024 J jnl
B-mode ultrasound-based CAD by learning using privileged information with dual-level missing modality completion.
Comput. Biol. Medicine
Xiao Wang, Xinping Ren, Ge Jin, Shihui Ying, Jun Wang, Juncheng Li, Jun Shi
2024 J jnl
Correction to: Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Image.
IEEE J. Biomed. Health Informatics
Huili Zhang, Lehang Guo, Jun Wang, Shihui Ying, Jun Shi
2024 J jnl
Cost-Sensitive Weighted Contrastive Learning Based on Graph Convolutional Networks for Imbalanced Alzheimer's Disease Staging.
IEEE Trans. Medical Imaging
Yan Hu, Jun Wang, Hao Zhu, Juncheng Li, Jun Shi
2024 J jnl
Dual-domain MIM based contrastive learning for CAD of developmental dysplasia of the hip with ultrasound images.
Biomed. Signal Process. Control.
Ke Sun, Jing Shi, Ge Jin, Juncheng Li, Jun Wang, Jun Du, Jun Shi
2024 J jnl
EWT: Efficient Wavelet-Transformer for single image denoising.
Neural Networks
Juncheng Li, Bodong Cheng, Ying Chen, Guangwei Gao, Jun Shi, Tieyong Zeng
2024 J jnl
Few sampling meshes-based 3D tooth segmentation via region-aware graph convolutional network.
Expert Syst. Appl.
Yang Zhao, Bodong Cheng, Najun Niu, Jun Wang, Tieyong Zeng, Guixu Zhang, Jun Shi, Juncheng Li
2024 J jnl
Involution Transformer Based U-Net for Landmark Detection in Ultrasound Images for Diagnosis of Infantile DDH.
IEEE J. Biomed. Health Informatics
Tianxiang Huang, Jing Shi, Juncheng Li, Jun Wang, Jun Du, Jun Shi
2024 J jnl
Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images.
Inf. Process. Manag.
Huili Zhang, Lehang Guo, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi
2024 J jnl
Multimodal Co-Attention Fusion Network With Online Data Augmentation for Cancer Subtype Classification.
IEEE Trans. Medical Imaging
Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi
2024 J jnl
Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images.
IEEE Trans. Medical Imaging
Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi
2024 J jnl
Self-adaptive subspace representation from a geometric intuition.
Pattern Recognit.
Lipeng Cai, Jun Shi, Shaoyi Du, Yue Gao, Shihui Ying
2024 J jnl
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction.
IEEE Trans. Medical Imaging
Qi Wang, Zhijie Wen, Jun Shi, Qian Wang, Dinggang Shen, Shihui Ying
2024 J jnl
TSCA-Net: Transformer based spatial-channel attention segmentation network for medical images.
Comput. Biol. Medicine
Yinghua Fu, Junfeng Liu, Jun Shi
2024 — conf
Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images.
MICCAI (5)
Tianxiang Huang, Jing Shi, Ge Jin, Juncheng Li, Jun Wang, Jun Du, Jun Shi
2024 J jnl
Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images.
CoRR
Tianxiang Huang, Jing Shi, Ge Jin, Juncheng Li, Jun Wang, Jun Du, Jun Shi
2024 J jnl
WeaFU: Weather-Informed Image Blind Restoration via Multi-Weather Distribution Diffusion.
IEEE Trans. Circuits Syst. Video Technol.
Bodong Cheng, Juncheng Li, Jun Shi, Yingying Fang, Guixu Zhang, Yin Chen, Tieyong Zeng, Zhi Li
2024 J jnl
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images.
IEEE Trans. Medical Imaging
Jian Wang, Liang Qiao, Shichong Zhou, Jin Zhou, Jun Wang, Juncheng Li, Shihui Ying, Cai Chang, Jun Shi
2023 J jnl
An improved 3D KiU-Net for segmentation of liver tumor.
Comput. Biol. Medicine
Guodong Chen, Zheng Li, Jian Wang, Jun Wang, Shisuo Du, Jinghao Zhou, Jun Shi, Yongkang Zhou
2023 J jnl
B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning.
Neural Networks
Xiangmin Han, Bangming Gong, Lehang Guo, Jun Wang, Shihui Ying, Shuo Li, Jun Shi
2023 J jnl
Contrastive Multi-View Composite Graph Convolutional Networks Based on Contribution Learning for Autism Spectrum Disorder Classification.
IEEE Trans. Biomed. Eng.
Hao Zhu, Jun Wang, Yin-Ping Zhao, Minhua Lu, Jun Shi
2023 J jnl
Deep Unfolding Network with Spatial Alignment for multi-modal MRI reconstruction.
CoRR
Hao Zhang, Qi Wang, Jun Shi, Shihui Ying, Zhijie Wen
2023 J jnl
Fast MRI Reconstruction via Edge Attention.
CoRR
Hanhui Yang, Juncheng Li, Lok Ming Lui, Shihui Ying, Jun Shi, Tieyong Zeng
2023 J jnl
Fractal graph convolutional network with MLP-mixer based multi-path feature fusion for classification of histopathological images.
Expert Syst. Appl.
Saisai Ding, Zhiyang Gao, Jun Wang, Minhua Lu, Jun Shi
2023 J jnl
GAME: GAussian Mixture Error-based meta-learning architecture.
Neural Comput. Appl.
Jinhe Dong, Jun Shi, Yue Gao, Shihui Ying
2023 J jnl
Hybrid-supervised bidirectional transfer networks for computer-aided diagnosis.
Comput. Biol. Medicine
Ronglin Gong, Jing Shi, Jian Wang, Jun Wang, Jianwei Zhou, Xiaofeng Lu, Jun Du, Jun Shi
2023 J jnl
Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer Using Multi-View Adaptive Weighted Graph Convolutional Networks.
IEEE J. Biomed. Health Informatics
Qiong Wu, Jun Wang, Zongqiong Sun, Lei Xiao, Wenhao Ying, Jun Shi
2023 J jnl
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.
Zhaowu Lu, Jun Wang, Rui Mao, Minhua Lu, Jun Shi
2023 J jnl
ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis.
Pattern Recognit.
Xiangmin Han, Jun Wang, Shihui Ying, Jun Shi, Dinggang Shen
2023 J jnl
Multi-Scale Efficient Graph-Transformer for Whole Slide Image Classification.
IEEE J. Biomed. Health Informatics
Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi
2023 J jnl
Multi-Scale Prototypical Transformer for Whole Slide Image Classification.
CoRR
Saisai Ding, Jun Wang, Juncheng Li, Jun Shi
2023 J jnl
Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Images.
IEEE J. Biomed. Health Informatics
Huili Zhang, Lehang Guo, Jun Wang, Shihui Ying, Jun Shi
2023 J jnl
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification.
CoRR
Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi
2023 — conf
Multi-scale Prototypical Transformer for Whole Slide Image Classification.
MICCAI (6)
Saisai Ding, Jun Wang, Juncheng Li, Jun Shi
2023 J jnl
Reconstruction of Quantitative Susceptibility Mapping From Total Field Maps With Local Field Maps Guided UU-Net.
IEEE J. Biomed. Health Informatics
Zheng Li, Shihui Ying, Jun Wang, Hongjian He, Jun Shi
2023 J jnl
Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning.
Comput. Biol. Medicine
Xin Wang, Jun Wang, Fei Shan, Yiqiang Zhan, Jun Shi, Dinggang Shen
2023 J jnl
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction.
CoRR
Qi Wang, Zhijie Wen, Jun Shi, Qian Wang, Dinggang Shen, Shihui Ying
2023 J jnl
Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images.
IEEE J. Biomed. Health Informatics
Zhiyang Lu, Jian Wang, Zheng Li, Shihui Ying, Jun Wang, Jun Shi, Dinggang Shen
2023 J jnl
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images.
CoRR
Jian Wang, Liang Qiao, Shichong Zhou, Jin Zhou, Jun Wang, Juncheng Li, Shihui Ying, Cai Chang, Jun Shi
2022 Misc conf
A Channel Attention Based MLP-Mixer Network for Motor Imagery Decoding With EEG.
ICASSP
Yanbin He, Zhiyang Lu, Jun Wang, Jun Shi
2022 J jnl
A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images.
IEEE J. Biomed. Health Informatics
Zhiyang Gao, Zhiyang Lu, Jun Wang, Shihui Ying, Jun Shi
2022 J jnl
Diagnosis of Infantile Hip Dysplasia With B-Mode Ultrasound via Two-Stage Meta-Learning Based Deep Exclusivity Regularized Machine.
IEEE J. Biomed. Health Informatics
Bangming Gong, Jing Shi, Xiangmin Han, Huan Zhang, Yuemin Huang, Liwei Hu, Jun Wang, Jun Du, Jun Shi
2022 J jnl
Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities.
IEEE Trans. Medical Imaging
Xiangmin Han, Xiaoyan Fei, Jun Wang, Tao Zhou, Shihui Ying, Jun Shi, Dinggang Shen
2022 J jnl
HG-FCN: Hierarchical Grid Fully Convolutional Network for Fast VVC Intra Coding.
IEEE Trans. Circuits Syst. Video Technol.
Shilin Wu, Jun Shi, Zhibo Chen
2022 J jnl
Joint Localization and Classification of Breast Cancer in B-Mode Ultrasound Imaging via Collaborative Learning With Elastography.
IEEE J. Biomed. Health Informatics
Weichang Ding, Jun Wang, Weijun Zhou, Shichong Zhou, Cai Chang, Jun Shi
2022 J jnl
Manifold-Regularized Multitask Fuzzy System Modeling With Low-Rank and Sparse Structures in Consequent Parameters.
IEEE Trans. Fuzzy Syst.
Jun Wang, Zhuangzhuang Zhao, Zhaohong Deng, Kup-Sze Choi, Lejun Gong, Jun Shi, Shitong Wang
2022 J jnl
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition.
Medical Image Anal.
Jun Wang, Fengyexin Zhang, Xiuyi Jia, Xin Wang, Han Zhang, Shihui Ying, Qian Wang, Jun Shi, Dinggang Shen
2022 J jnl
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images.
CoRR
Jun Shi, Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Jun Wang, Shihui Ying
2022 J jnl
S2Q-Net: Mining the High-Pass Filtered Phase Data in Susceptibility Weighted Imaging for Quantitative Susceptibility Mapping.
IEEE J. Biomed. Health Informatics
Zhiyang Lu, Jun Li, Chaoyue Wang, Rongjun Ge, Lili Chen, Hongjian He, Jun Shi
2022 J jnl
Self-Distilled Supervised Contrastive Learning for diagnosis of breast cancers with histopathological images.
Comput. Biol. Medicine
Ronglin Gong, Linlin Wang, Jun Wang, Binjie Ge, Hang Yu, Jun Shi
2022 J jnl
Self-Supervised Bi-Channel Transformer Networks for Computer-Aided Diagnosis.
IEEE J. Biomed. Health Informatics
Ronglin Gong, Xiangmin Han, Jun Wang, Shihui Ying, Jun Shi
2022 B conf
Task-Driven Self-Supervised BI-Channel Networks Learning for Diagnosis of Breast Cancers with Mammography.
ICIP
Ronglin Gong, Shihui Ying, Jun Shi
2022 J jnl
Uncertainty Modeling for Multicenter Autism Spectrum Disorder Classification Using Takagi-Sugeno-Kang Fuzzy Systems.
IEEE Trans. Cogn. Dev. Syst.
Zhongyi Hu, Jun Wang, Chunxiang Zhang, Zhenzhen Luo, Xiaoqing Luo, Lei Xiao, Jun Shi
2021 J jnl
A channel attention based MLP-Mixer network for motor imagery decoding with EEG.
CoRR
Yanbin He, Zhiyang Lu, Jun Wang, Jun Shi
2021 J jnl
COVID-AL: The diagnosis of COVID-19 with deep active learning.
Medical Image Anal.
Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang, Jun Shi
2021 J jnl
Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities.
Pattern Recognit.
Xiaoyan Fei, Shichong Zhou, Xiangmin Han, Jun Wang, Shihui Ying, Cai Chang, Weijun Zhou, Jun Shi
2021 — conf
GQ-GCN: Group Quadratic Graph Convolutional Network for Classification of Histopathological Images.
MICCAI (8)
Zhiyang Gao, Jun Shi, Jun Wang
2021 J jnl
Lightweight adaptive weighted network for single image super-resolution.
Comput. Vis. Image Underst.
Zheng Li, Chaofeng Wang, Jun Wang, Shihui Ying, Jun Shi
2021 J jnl
Meta-Learning Based Interactively Connected Clique U-Net for Quantitative Susceptibility Mapping.
IEEE Trans. Computational Imaging
Zheng Li, Jun Li, Chaoyue Wang, Zhiyang Lu, Jun Wang, Hongjian He, Jun Shi
2021 J jnl
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
Huili Zhang, Lehang Guo, Dan Wang, Jun Wang, Lili Bao, Shihui Ying, Huixiong Xu, Jun Shi
2021 — conf
Reconstruction Of Quantitative Susceptibility Maps From Phase Of Susceptibility Weighted Imaging With Cross-Connected Ψ-Net.
ISBI
Zhiyang Lu, Jun Li, Zheng Li, Hongjian He, Jun Shi
2021 J jnl
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration.
IEEE Trans. Circuits Syst. Video Technol.
Jun Shi, Jianfeng Xu, Kazuyuki Tasaka, Zhibo Chen
2021 J jnl
Task-Driven Semantic Coding via Reinforcement Learning.
IEEE Trans. Image Process.
Xin Li, Jun Shi, Zhibo Chen
2021 J jnl
Task-driven Self-supervised Bi-channel Networks Learning for Diagnosis of Breast Cancers with Mammography.
CoRR
Ronglin Gong, Zhiyang Lu, Jun Shi
2021 J jnl
Task-driven Semantic Coding via Reinforcement Learning.
CoRR
Xin Li, Jun Shi, Zhibo Chen
2021 J jnl
Tensor Gradient L₀-Norm Minimization-Based Low-Dose CT and Its Application to COVID-19.
IEEE Trans. Instrum. Meas.
Weiwen Wu, Jun Shi, Hengyong Yu, Weifei Wu, Vince Vardhanabhuti
2021 J jnl
Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images.
CoRR
Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen
2021 — conf
Two-Stage Self-supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images.
MICCAI (6)
Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen
2020 J jnl
An Improved Deep Polynomial Network Algorithm for Transcranial Sonography-Based Diagnosis of Parkinson's Disease.
Cogn. Comput.
Lu Shen, Jun Shi, Yun Dong, Shihui Ying, Yaxin Peng, Lu Chen, Qi Zhang, Hedi An, Yingchun Zhang
2020 — conf
BI-Modal Ultrasound Breast Cancer Diagnosis Via Multi-View Deep Neural Network SVM.
ISBI
Bangming Gong, Lu Shen, Cai Chang, Shichong Zhou, Weijun Zhou, Shuo Li, Jun Shi
2020 — conf
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities.
MICCAI (6)
Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi
2020 J jnl
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities.
CoRR
Xiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi
2020 J jnl
Deep Transfer Learning for Histopathological Diagnosis of Cervical Cancer Using Convolutional Neural Networks with Visualization Schemes.
J. Medical Imaging Health Informatics
Ying Chen, Xiaomin Qin, Jingyu Xiong, Shugong Xu, Jun Shi, Huabing Lv, Lin Li, Hui Xing, Qi Zhang
2020 J jnl
Learned Fast HEVC Intra Coding.
IEEE Trans. Image Process.
Zhibo Chen, Jun Shi, Weiping Li
2020 J jnl
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
Jun Wang, Lichi Zhang, Qian Wang, Lei Chen, Jun Shi, Xiaobo Chen, Zuoyong Li, Dinggang Shen
2020 J jnl
Parameter Transfer Deep Neural Network for Single-Modal B-Mode Ultrasound-Based Computer-Aided Diagnosis.
Cogn. Comput.
Xiaoyan Fei, Lu Shen, Shihui Ying, Yehua Cai, Qi Zhang, Wentao Kong, Weijun Zhou, Jun Shi
2020 J jnl
Projective parameter transfer based sparse multiple empirical kernel learning Machine for diagnosis of brain disease.
Neurocomputing
Xiaoyan Fei, Jun Wang, Shihui Ying, Zhongyi Hu, Jun Shi
2020 J jnl
Reconstruction of Quantitative Susceptibility Maps from Phase of Susceptibility Weighted Imaging with Cross-Connected Ψ-Net.
CoRR
Zhiyang Lu, Jun Li, Zheng Li, Hongjian He, Jun Shi
2020 C conf
Reinforced Bit Allocation under Task-Driven Semantic Distortion Metrics.
ISCAS
Jun Shi, Zhibo Chen
2020 J jnl
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19.
CoRR
Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen
2020 J jnl
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration.
CoRR
Jun Shi, Jianfeng Xu, Kazuyuki Tasaka, Zhibo Chen
2019 — conf
3D Convolutional Networks Based Automatic Diagnosis of Alzheimer's Disease Using Structural MRI.
CISP-BMEI
Xinying Yu, Bo Peng, Jun Shi, Jianbin Zhu, Yakang Dai
2019 — conf
A Two-Stage Multi-loss Super-Resolution Network for Arterial Spin Labeling Magnetic Resonance Imaging.
MICCAI (3)
Zheng Li, Qingping Liu, Yiran Li, Qiu Ge, Yuanqi Shang, Donghui Song, Ze Wang, Jun Shi
2019 — conf
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results.
ICCV Workshops
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
2019 J jnl
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results.
CoRR
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
2019 C conf
Asymmetric-Kernel CNN Based Fast CTU Partition for HEVC Intra Coding.
ISCAS
Jun Shi, Changsheng Gao, Zhibo Chen
2019 J jnl
Cascaded Multi-Column RVFL+ Classifier for Single-Modal Neuroimaging-Based Diagnosis of Parkinson's Disease.
IEEE Trans. Biomed. Eng.
Jun Shi, Zeyu Xue, Yakang Dai, Bo Peng, Yun Dong, Qi Zhang, Yingchun Zhang
2019 — conf
Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis.
MICCAI (3)
Jun Wang, Ying Zhang, Tao Zhou, Zhaohong Deng, Huifang Huang, Shitong Wang, Jun Shi, Dinggang Shen
2019 J jnl
Learning using privileged information improves neuroimaging-based CAD of Alzheimer's disease: a comparative study.
Medical Biol. Eng. Comput.
Yan Li, Fanqing Meng, Jun Shi
2019 J jnl
Lightweight Image Super-Resolution with Adaptive Weighted Learning Network.
CoRR
Chaofeng Wang, Zheng Li, Jun Shi
2019 J jnl
MR Image Super-Resolution via Wide Residual Networks With Fixed Skip Connection.
IEEE J. Biomed. Health Informatics
Jun Shi, Zheng Li, Shihui Ying, Chaofeng Wang, Qingping Liu, Qi Zhang, Pingkun Yan
2019 J jnl
Quaternion Grassmann average network for learning representation of histopathological image.
Pattern Recognit.
Jun Shi, Xiao Zheng, Jinjie Wu, Bangming Gong, Qi Zhang, Shihui Ying
2019 J jnl
Reinforced Bit Allocation under Task-Driven Semantic Distortion Metrics.
CoRR
Jun Shi, Zhibo Chen
2019 — conf
Ultrasound-Based Diagnosis of Breast Tumor with Parameter Transfer Multilayer Kernel Extreme Learning Machine.
EMBC
Xiaoyan Fei, Weijun Zhou, Lu Shen, Cai Chang, Shichong Zhou, Jun Shi
2018 J jnl
Artificial Intelligence Based Diagnosis for Cervical Lymph Node Malignancy Using the Point-Wise Gated Boltzmann Machine.
IEEE Access
Qi Zhang, Yue Liu, Hong Han, Jun Shi, Wenping Wang
2018 — conf
B-Mode Ultrasound Based Diagnosis of Liver Cancer With CEUS Images as Privileged Information.
EMBC
Fanqing Meng, Jun Shi, Bangming Gong, Qi Zhang, Lehang Guo, Dan Wang, Huixiong Xu
2018 J jnl
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments.
CoRR
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
2018 J jnl
Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning.
IEEE Trans. Neural Networks Learn. Syst.
Shihui Ying, Zhijie Wen, Jun Shi, Yaxin Peng, Jigen Peng, Hong Qiao
2018 J jnl
Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease.
IEEE J. Biomed. Health Informatics
Jun Shi, Xiao Zheng, Yan Li, Qi Zhang, Shihui Ying
2018 — conf
Multiple Empirical Kernel Mapping Based Broad Learning System for Classification of Parkinson's Disease With Transcranial Sonography.
EMBC
Lu Shen, Jun Shi, Bangming Gong, Yingchun Zhang, Yun Dong, Qi Zhang, Hedi An
2018 — conf
Multiple Kernel Learning Based Classification of Parkinson's Disease With Multi-Modal Transcranial Sonography.
EMBC
Jun Shi, Minjun Yan, Yun Dong, Xiao Zheng, Qi Zhang, Hedi An
2018 J jnl
Neuroimaging-based diagnosis of Parkinson's disease with deep neural mapping large margin distribution machine.
Neurocomputing
Bangming Gong, Jun Shi, Shihui Ying, Yakang Dai, Qi Zhang, Yun Dong, Hedi An, Yingchun Zhang
2018 — conf
Speckle Suppression of Ultrasonography Using Maximum Likelihood Estimation and Weighted Nuclear Norm Minimization.
EMBC
Haohao Xu, Qi Zhang, Huaipeng Dong, Xiyuan Jiang, Jun Shi
2017 — conf
CEUS-based classification of liver tumors with deep canonical correlation analysis and multi-kernel learning.
EMBC
Lehang Guo, Dan Wang, Huixiong Xu, Yiyi Qian, Chaofeng Wang, Xiao Zheng, Qi Zhang, Jun Shi
2017 J jnl
Histopathological Image Classification With Color Pattern Random Binary Hashing-Based PCANet and Matrix-Form Classifier.
IEEE J. Biomed. Health Informatics
Jun Shi, Jinjie Wu, Yan Li, Qi Zhang, Shihui Ying
2017 — conf
Histopathological image classification with bilinear convolutional neural networks.
EMBC
Chaofeng Wang, Jun Shi, Qi Zhang, Shihui Ying
2017 — conf
Improving MRI-based diagnosis of Alzheimer's disease via an ensemble privileged information learning algorithm.
ISBI
Xiao Zheng, Jun Shi, Qi Zhang, Shihui Ying, Yan Li
2017 — conf
Multimodal Ultrasound imaging based diagnosis of liver cancers with a two-stage multi-view learning framework.
EMBC
Yiyi Qian, Jun Shi, Xiao Zheng, Qi Zhang, Lehang Guo, Dan Wang, Huixiong Xu
2017 J jnl
Robust sound event classification with bilinear multi-column ELM-AE and two-stage ensemble learning.
EURASIP J. Audio Speech Music. Process.
Junjie Zhang, Jie Yin, Qi Zhang, Jun Shi, Yan Li
2016 — conf
Histopathological image classification using random binary hashing based PCANet and bilinear classifier.
EUSIPCO
Jinjie Wu, Jun Shi, Yan Li, Jingfeng Suo, Qi Zhang
2016 — conf
Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information Learning Framework.
MLMI@MICCAI
Xiao Zheng, Jun Shi, Shihui Ying, Qi Zhang, Yan Li
2016 — conf
Learning Representation for Histopathological Image with Quaternion Grassmann Average Network.
MLMI@MICCAI
Jinjie Wu, Jun Shi, Shihui Ying, Qi Zhang, Yan Li
2016 — conf
Multi-modality stacked deep polynomial network based feature learning for Alzheimer's disease diagnosis.
ISBI
Xiao Zheng, Jun Shi, Yan Li, Xiao Liu, Qi Zhang
2016 J jnl
Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset.
Neurocomputing
Jun Shi, Shichong Zhou, Xiao Liu, Qi Zhang, Minhua Lu, Tianfu Wang
2015 J jnl
Effective identification and localization of immature precursors in bone marrow biopsy.
Medical Biol. Eng. Comput.
Guitao Cao, Ling Li, Weiting Chen, Yehua Yu, Jun Shi, Guixu Zhang, Xuehua Liu
2015 J jnl
FR-KECA: Fuzzy robust kernel entropy component analysis.
Neurocomputing
Jun Shi, Qikun Jiang, Rui Mao, Minhua Lu, Tianfu Wang
2015 J jnl
Graph-based learning for segmentation of 3D ultrasound images.
Neurocomputing
Huali Chang, Zhenping Chen, Qinghua Huang, Jun Shi, Xuelong Li
2015 — conf
Hessian regularization based non-negative matrix factorization for gene expression data clustering.
EMBC
Xiao Liu, Jun Shi, Congzhi Wang
2015 J jnl
Sparse kernel entropy component analysis for dimensionality reduction of biomedical data.
Neurocomputing
Jun Shi, Qikun Jiang, Qi Zhang, Qinghua Huang, Xuelong Li
2015 — conf
Tumor Classification by Deep Polynomial Network and Multiple Kernel Learning on Small Ultrasound Image Dataset.
MLMI
Xiao Liu, Jun Shi, Qi Zhang
2014 — conf
An iterated Laplacian based semi-supervised dimensionality reduction for classification of breast cancer on ultrasound images.
EMBC
Xiao Liu, Jun Shi, Shichong Zhou, Minhua Lu
2014 — conf
Co-training based semi-supervised classification of Alzheimer's disease.
DSP
Jie Zhu, Jun Shi, Xiao Liu, Xin Chen
2014 — conf
Hessian regularization based semi-supervised dimensionality reduction for neuroimaging data of Alzheimer's disease.
ISBI
Jie Zhu, Jun Shi
2014 — conf
Sparse kernel entropy component analysis for dimensionality reduction of neuroimaging data.
EMBC
Qikun Jiang, Jun Shi
2013 — conf
Joint Sparse Coding Spatial Pyramid Matching for Classification of Color Blood Cell Image.
MLMI
Jun Shi, Yin Cai
2013 J jnl
SEMG-based hand motion recognition using cumulative residual entropy and extreme learning machine.
Medical Biol. Eng. Comput.
Jun Shi, Yin Cai, Jie Zhu, Jin Zhong, Fei Wang
2013 J jnl
Shearlet-based texture feature extraction for classification of breast tumor in ultrasound image.
Biomed. Signal Process. Control.
Shichong Zhou, Jun Shi, Jie Zhu, Yin Cai, Ruiling Wang
2011 — conf
Contour detection of atherosclerotic plaques in IVUS images using ellipse template matching and particle swarm optimization.
EMBC
Qi Zhang, Yuanyuan Wang, Jianying Ma, Jun Shi
2011 — conf
Recognition of hand motions via surface EMG signal with rough entropy.
EMBC
Jin Zhong, Jun Shi, Yin Cai, Qi Zhang
2010 C conf
Automatic segmentation of breast tumor in ultrasound image with simplified PCNN and improved fuzzy mutual information.
VCIP
Jun Shi, Zhiheng Xiao, Shichong Zhou
2008 J jnl
Continuous Monitoring of Sonomyography, Electromyography and Torque Generated by Normal Upper Arm Muscles During Isometric Contraction: Sonomyography Assessment for Arm Muscles.
IEEE Trans. Biomed. Eng.
Jun Shi, Yong-Ping Zheng, Qing-Hua Huang, Xin Chen
2006 — conf
Prediction of Wrist Angle from Sonomyography Signals with Artificial Neural Networks Technique.
EMBC
Jun Shi, Yongping Zheng, Zhuangzhi Yan
2006 — conf
Preliminary Study of Skeletal Muscle with Multi-signals during Isometric Contraction.
EMBC
Jun Shi, Yongping Zheng, Zhuangzhi Yan, Qinghua Huang