Shanshan Wang

Orcid: 0000-0002-0575-6523

Affiliations:

Chinese Academy of Sciences, Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen, China
Shanghai Jiao Tong University, Shanghai, China
University of Sydney, Australia 2014

According to our database¹, Shanshan Wang authored at least 99 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Self-Supervised Federated Learning for Fast MR Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

Generalizable vision-language pre-training for annotation-free pathology localization.

[BibT_eX]

[DOI]

CoRR, 2024

MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing the medical foundation model with multi-scale and cross-modality feature learning.

[BibT_eX]

[DOI]

CoRR, 2024

Multimodal self-supervised learning for lesion localization.

[BibT_eX]

[DOI]

CoRR, 2024

2023

One-Shot Generative Prior in Hankel-k-Space for Parallel Imaging Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, November, 2023

Expert knowledge guided manifold representation learning for magnetic resonance imaging-based glioma grading.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., August, 2023

Variable Augmented Network for Invertible Modality Synthesis and Fusion.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, June, 2023

Specificity-Preserving Federated Learning for MR Image Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2023

PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation.

[BibT_eX]

[DOI]

Yousuf Babiker M. Osman

Cheng Li

Weijian Huang

Shanshan Wang

CoRR, 2023

Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Few-shot Class-incremental Learning for Cross-domain Disease Classification.

[BibT_eX]

[DOI]

CoRR, 2023

MGA: Medical generalist agent through text-guided knowledge transformation.

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation.

[BibT_eX]

[DOI]

Yousuf Babiker M. Osman

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Iterative Data Refinement for Self-Supervised Learning MR Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation.

[BibT_eX]

[DOI]

Cheng Li

Yousuf Babiker M. Osman

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Meta Architecture for Point Cloud Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Meta Architecure for Point Cloud Analysis.

[BibT_eX]

[DOI]

CoRR, 2022

Iterative Data Refinement for Self-Supervised MR Image Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2022

Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation.

[BibT_eX]

[DOI]

Yousuf Babiker M. Osman

CoRR, 2022

SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging.

[BibT_eX]

[DOI]

CoRR, 2022

K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2022

Rethinking the optimization process for self-supervised model-driven MRI reconstruction.

[BibT_eX]

[DOI]

CoRR, 2022

PARCEL: Physics-based unsupervised contrastive representation learning for parallel MR imaging.

[BibT_eX]

[DOI]

CoRR, 2022

Variable Augmented Network for Invertible MR Coil Compression.

[BibT_eX]

[DOI]

CoRR, 2022

Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading.

[BibT_eX]

[DOI]

CoRR, 2022

Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

Universal Generative Modeling for Calibration-Free Parallel Mr Imaging.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Homotopic Gradients of Generative Density Priors for MR Image Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

MRI Based Radiomics Approach With Deep Learning for Prediction of Vessel Invasion in Early-Stage Cervical Cancer.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Triple attention learning for classification of 14 thoracic diseases using chest radiography.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study.

[BibT_eX]

[DOI]

CoRR, 2021

Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework.

[BibT_eX]

[DOI]

CoRR, 2021

MRI Reconstruction Using Deep Energy-Based Model.

[BibT_eX]

[DOI]

CoRR, 2021

Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2021

Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Collaborative Multi-View Convolutions With Gating For Accurate And Fast Volumetric Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2020

A comparative study of CNN-based super-resolution methods in MRI reconstruction and its beyond.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2020

High-dimensional embedding network derived prior for compressive sensing MRI reconstruction.

[BibT_eX]

[DOI]

Medical Image Anal., 2020

Transformed denoising autoencoder prior for image restoration.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2020

AIDE: Annotation-efficient deep learning for automatic medical image segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint.

[BibT_eX]

[DOI]

CoRR, 2020

Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2020

Laplacian pyramid-based complex neural network learning for fast MR imaging.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus Photographs.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Classification of Ocular Diseases Employing Attention-Based Unilateral and Bilateral Feature Weighting and Fusion.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Low-Dose Pet Image Restoration With 2D And 3D Network Prior Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

A Deep Residual Sparse and Cross Domain Reconstruction Network for Dynamic MR Imaging.

[BibT_eX]

[DOI]

Proceedings of the ICCPR 2020: 9th International Conference on Computing and Pattern Recognition, Xiamen, China, October 30, 2020

2019

VST-Net: Variance-stabilizing transformation inspired network for Poisson denoising.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2019

Parameter Constrained Transfer Learning for Low Dose PET Image Denoising.

[BibT_eX]

[DOI]

CoRR, 2019

LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset.

[BibT_eX]

[DOI]

CoRR, 2019

DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution.

[BibT_eX]

[DOI]

CoRR, 2019

CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint.

[BibT_eX]

[DOI]

CoRR, 2019

Multi-Noise and Multi-Channel Derived Prior Information for Grayscale Image Restoration.

[BibT_eX]

[DOI]

IEEE Access, 2019

MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation.

[BibT_eX]

[DOI]

IEEE Access, 2019

CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features.

[BibT_eX]

[DOI]

Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

A Comparative Study of CNN-Based Super-Resolution Methods in MRI Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

High-Dimensional Embedding Denoising Autoencoding Prior for Color Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Network-Driven Prior Induced Bregman Model for Parallel MR Imaging.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Field-of-Experts Filters Guided Tensor Completion.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2018

Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2018

A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2018

AUNet: Breast Mass Segmentation of Whole Mammograms.

[BibT_eX]

[DOI]

CoRR, 2018

DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training.

[BibT_eX]

[DOI]

CoRR, 2018

Classifying Mammographic Breast Density by Residual Learning.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Sparse and dense hybrid representation via subspace modeling for dynamic MRI.

[BibT_eX]

[DOI]

Qiegen Liu

Shanshan Wang

Dong Liang

Comput. Medical Imaging Graph., 2017

2016

Foreground Detection With Simultaneous Dictionary Learning and Historical Pixel Maintenance.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Sparse Parallel MRI Based on Accelerated Operator Splitting Schemes.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2016

Accelerating magnetic resonance imaging via deep learning.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

An iteratively reweighting algorithm for dynamic video summarization.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2015

Undersampled MR Image Reconstruction with Data-Driven Tight Frame.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2015

Parallel imaging via sparse representation over a learned dictionary.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Reference guided CS-MRI with gradient orientation priors.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Study of analytic and trained dictionaries for sparse representation and its applications.

[BibT_eX]

[DOI]

Shanshan Wang

PhD thesis, 2014

2013

Highly Undersampled Magnetic Resonance Image Reconstruction Using Two-Level Bregman Method With Dictionary Updating.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2013

Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

Dictionary learning based impulse noise removal via L1-L1 minimization.

[BibT_eX]

[DOI]

Signal Process., 2013

Magnetic resonance image restoration via dictionary learning under spatially adaptive constraints.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Gabor feature based nonlocal means filter for textured image denoising.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2012

An augmented Lagrangian approach to general dictionary learning for image denoising.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2012

A novel predual dictionary learning algorithm.

[BibT_eX]

[DOI]

Qiegen Liu

Shanshan Wang

Jianhua Luo

J. Vis. Commun. Image Represent., 2012

2011

An augmented Lagrangian multi-scale dictionary learning algorithm.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2011

Shanshan Wang

Timeline

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