Jun Shi
Orcid: 0000-0002-3226-3978Affiliations:
- Shanghai University, Institute of Biomedical Engineering, School of Communication and Information Engineering, China
- University of Science and Technology of China, Department of Electronic Engineering and Information Science, China (PhD 2005)
According to our database1,
Jun Shi
authored at least 99 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images.
IEEE Trans. Medical Imaging, March, 2024
TSCA-Net: Transformer based spatial-channel attention segmentation network for medical images.
Comput. Biol. Medicine, March, 2024
Comput. Biol. Medicine, January, 2024
2023
IEEE J. Biomed. Health Informatics, December, 2023
Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer Using Multi-View Adaptive Weighted Graph Convolutional Networks.
IEEE J. Biomed. Health Informatics, November, 2023
Neural Comput. Appl., October, 2023
Comput. Biol. Medicine, October, 2023
Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images.
IEEE J. Biomed. Health Informatics, July, 2023
B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning.
Neural Networks, July, 2023
Contrastive Multi-View Composite Graph Convolutional Networks Based on Contribution Learning for Autism Spectrum Disorder Classification.
IEEE Trans. Biomed. Eng., June, 2023
Reconstruction of Quantitative Susceptibility Mapping From Total Field Maps With Local Field Maps Guided UU-Net.
IEEE J. Biomed. Health Informatics, April, 2023
Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Images.
IEEE J. Biomed. Health Informatics, March, 2023
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., 2023
Pattern Recognit., 2023
Fractal graph convolutional network with MLP-mixer based multi-path feature fusion for classification of histopathological images.
Expert Syst. Appl., 2023
CoRR, 2023
CoRR, 2023
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities.
IEEE Trans. Medical Imaging, 2022
S2Q-Net: Mining the High-Pass Filtered Phase Data in Susceptibility Weighted Imaging for Quantitative Susceptibility Mapping.
IEEE J. Biomed. Health Informatics, 2022
Diagnosis of Infantile Hip Dysplasia With B-Mode Ultrasound via Two-Stage Meta-Learning Based Deep Exclusivity Regularized Machine.
IEEE J. Biomed. Health Informatics, 2022
IEEE J. Biomed. Health Informatics, 2022
A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images.
IEEE J. Biomed. Health Informatics, 2022
Joint Localization and Classification of Breast Cancer in B-Mode Ultrasound Imaging via Collaborative Learning With Elastography.
IEEE J. Biomed. Health Informatics, 2022
Manifold-Regularized Multitask Fuzzy System Modeling With Low-Rank and Sparse Structures in Consequent Parameters.
IEEE Trans. Fuzzy Syst., 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Uncertainty Modeling for Multicenter Autism Spectrum Disorder Classification Using Takagi-Sugeno-Kang Fuzzy Systems.
IEEE Trans. Cogn. Dev. Syst., 2022
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition.
Medical Image Anal., 2022
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images.
CoRR, 2022
Self-Distilled Supervised Contrastive Learning for diagnosis of breast cancers with histopathological images.
Comput. Biol. Medicine, 2022
Task-Driven Self-Supervised BI-Channel Networks Learning for Diagnosis of Breast Cancers with Mammography.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
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, 2021
Tensor Gradient L₀-Norm Minimization-Based Low-Dose CT and Its Application to COVID-19.
IEEE Trans. Instrum. Meas., 2021
Meta-Learning Based Interactively Connected Clique U-Net for Quantitative Susceptibility Mapping.
IEEE Trans. Computational Imaging, 2021
Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities.
Pattern Recognit., 2021
Medical Image Anal., 2021
Comput. Vis. Image Underst., 2021
CoRR, 2021
Task-driven Self-supervised Bi-channel Networks Learning for Diagnosis of Breast Cancers with Mammography.
CoRR, 2021
Two-Stage Self-supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Reconstruction Of Quantitative Susceptibility Maps From Phase Of Susceptibility Weighted Imaging With Cross-Connected Ψ-Net.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
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, 2020
Projective parameter transfer based sparse multiple empirical kernel learning Machine for diagnosis of brain disease.
Neurocomputing, 2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19.
CoRR, 2020
An Improved Deep Polynomial Network Algorithm for Transcranial Sonography-Based Diagnosis of Parkinson's Disease.
Cogn. Comput., 2020
Parameter Transfer Deep Neural Network for Single-Modal B-Mode Ultrasound-Based Computer-Aided Diagnosis.
Cogn. Comput., 2020
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
Cascaded Multi-Column RVFL+ Classifier for Single-Modal Neuroimaging-Based Diagnosis of Parkinson's Disease.
IEEE Trans. Biomed. Eng., 2019
Quaternion Grassmann average network for learning representation of histopathological image.
Pattern Recognit., 2019
Learning using privileged information improves neuroimaging-based CAD of Alzheimer's disease: a comparative study.
Medical Biol. Eng. Comput., 2019
CoRR, 2019
A Two-Stage Multi-loss Super-Resolution Network for Arterial Spin Labeling Magnetic Resonance Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Ultrasound-Based Diagnosis of Breast Tumor with Parameter Transfer Multilayer Kernel Extreme Learning Machine.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
3D Convolutional Networks Based Automatic Diagnosis of Alzheimer's Disease Using Structural MRI.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019
2018
Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018
Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease.
IEEE J. Biomed. Health Informatics, 2018
Neuroimaging-based diagnosis of Parkinson's disease with deep neural mapping large margin distribution machine.
Neurocomputing, 2018
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments.
CoRR, 2018
Speckle Suppression of Ultrasonography Using Maximum Likelihood Estimation and Weighted Nuclear Norm Minimization.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Multiple Empirical Kernel Mapping Based Broad Learning System for Classification of Parkinson's Disease With Transcranial Sonography.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
B-Mode Ultrasound Based Diagnosis of Liver Cancer With CEUS Images as Privileged Information.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Multiple Kernel Learning Based Classification of Parkinson's Disease With Multi-Modal Transcranial Sonography.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Histopathological Image Classification With Color Pattern Random Binary Hashing-Based PCANet and Matrix-Form Classifier.
IEEE J. Biomed. Health Informatics, 2017
Robust sound event classification with bilinear multi-column ELM-AE and two-stage ensemble learning.
EURASIP J. Audio Speech Music. Process., 2017
Improving MRI-based diagnosis of Alzheimer's disease via an ensemble privileged information learning algorithm.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Multimodal Ultrasound imaging based diagnosis of liver cancers with a two-stage multi-view learning framework.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
CEUS-based classification of liver tumors with deep canonical correlation analysis and multi-kernel learning.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset.
Neurocomputing, 2016
Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information Learning Framework.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Learning Representation for Histopathological Image with Quaternion Grassmann Average Network.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Multi-modality stacked deep polynomial network based feature learning for Alzheimer's disease diagnosis.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Histopathological image classification using random binary hashing based PCANet and bilinear classifier.
Proceedings of the 24th European Signal Processing Conference, 2016
2015
Sparse kernel entropy component analysis for dimensionality reduction of biomedical data.
Neurocomputing, 2015
Tumor Classification by Deep Polynomial Network and Multiple Kernel Learning on Small Ultrasound Image Dataset.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Hessian regularization based non-negative matrix factorization for gene expression data clustering.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Hessian regularization based semi-supervised dimensionality reduction for neuroimaging data of Alzheimer's disease.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the 19th International Conference on Digital Signal Processing, 2014
An iterated Laplacian based semi-supervised dimensionality reduction for classification of breast cancer on ultrasound images.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Sparse kernel entropy component analysis for dimensionality reduction of neuroimaging data.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
SEMG-based hand motion recognition using cumulative residual entropy and extreme learning machine.
Medical Biol. Eng. Comput., 2013
Shearlet-based texture feature extraction for classification of breast tumor in ultrasound image.
Biomed. Signal Process. Control., 2013
Joint Sparse Coding Spatial Pyramid Matching for Classification of Color Blood Cell Image.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Contour detection of atherosclerotic plaques in IVUS images using ellipse template matching and particle swarm optimization.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Automatic segmentation of breast tumor in ultrasound image with simplified PCNN and improved fuzzy mutual information.
Proceedings of the Visual Communications and Image Processing 2010, 2010
2008
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., 2008
2006
Preliminary Study of Skeletal Muscle with Multi-signals during Isometric Contraction.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Prediction of Wrist Angle from Sonomyography Signals with Artificial Neural Networks Technique.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006