Shanshan Wang

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 77

Top Venues

CoRR

ISBI

IEEE Trans. Medical Imaging

MICCAI (3)

University of Sydney, Australia (PHD)

Education History

University of Sydney, Australia

PHD

Publications

Juan Zou, Tingrui Pei, Cheng Li, Ruoyou Wu, Shanshan Wang
Self-Supervised Federated Learning for Fast MR Imaging. IEEE Trans. Instrum. Meas. 73 (2024)
Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang
Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI. ISBI (2023)
Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Nazik Elsayed, Leslie Ying, Hairong Zheng, Shanshan Wang
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation. ISBI (2023)
Hong Peng, Chen Jiang, Jing Cheng, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu
One-Shot Generative Prior in Hankel-k-Space for Parallel Imaging Reconstruction. IEEE Trans. Medical Imaging 42 (11) (2023)
Xue Liu, Juan Zou, Tao Sun, Ruoyou Wu, Xiawu Zheng, Cheng Li, Shanshan Wang
Iterative Data Refinement for Self-Supervised Learning MR Image Reconstruction. ISBI (2023)
Yeqi Wang, Longfei Li, Cheng Li, Yan Xi, Yusong Lin, Shanshan Wang
Expert knowledge guided manifold representation learning for magnetic resonance imaging-based glioma grading. Biomed. Signal Process. Control. 85 (2023)
Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang
Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans. ISBI (2023)
Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu
Specificity-Preserving Federated Learning for MR Image Reconstruction. IEEE Trans. Medical Imaging 42 (7) (2023)
Shanshan Wang, Ruoyou Wu, Cheng Li, Juan Zou, Ziyao Zhang, Qiegen Liu, Yan Xi, Hairong Zheng
PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Cheng Li, Yousuf Babiker M. Osman, Weijian Huang, Zhenzhen Xue, Hua Han, Hairong Zheng, Shanshan Wang
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation. ISBI (2023)
Weijian Huang, Cheng Li, Wenxin Fan, Yongjin Zhou, Qiegen Liu, Hairong Zheng, Shanshan Wang
Rethinking the optimization process for self-supervised model-driven MRI reconstruction. CoRR (2022)
Juan Zou, Cheng Li, Sen Jia, Ruoyou Wu, Tingrui Pei, Hairong Zheng, Shanshan Wang
SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging. CoRR (2022)
Hui Tao, Haifeng Wang, Shanshan Wang, Dong Liang, Xiaoling Xu, Qiegen Liu
Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging. CoRR (2022)
Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu
Universal Generative Modeling for Calibration-Free Parallel Mr Imaging. ISBI (2022)
Zongjiang Tu, Chen Jiang, Yu Guan, Shanshan Wang, Jijun Liu, Qiegen Liu, Dong Liang
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction. CoRR (2022)
Weijian Huang, Cheng Li, Wenxin Fan, Ziyao Zhang, Tong Zhang, Yongjin Zhou, Qiegen Liu, Shanshan Wang
Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction. MLMIR@MICCAI (2022)
Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang
Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework. MICCAI (6) (2021)
Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. MICCAI (1) (2021)
Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. CoRR (2021)
Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. CoRR (2021)
Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. MICCAI (3) (2021)
Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shanshan Wang, Dong Liang, Qiegen Liu
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction. IEEE Trans. Medical Imaging 40 (12) (2021)
Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint. IEEE Trans. Medical Imaging 40 (10) (2021)
Cheng Li, Jingxu Xu, Qiegen Liu, Yongjin Zhou, Lisha Mou, Zuhui Pu, Yong Xia, Hairong Zheng, Shanshan Wang
Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Lixu Gu, Yu Qiao
Collaborative Multi-View Convolutions With Gating For Accurate And Fast Volumetric Medical Image Segmentation. ISBI (2021)
Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang
D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Shanshan Wang, Taohui Xiao, Qiegen Liu, Hairong Zheng
Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data. Biomed. Signal Process. Control. 68 (2021)
Xiran Jiang, Jiaxin Li, Yangyang Kan, Tao Yu, Shijie Chang, Xianzheng Sha, Hairong Zheng, Yahong Luo, Shanshan Wang
MRI Based Radiomics Approach With Deep Learning for Prediction of Vessel Invasion in Early-Stage Cervical Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework. CoRR (2021)
Minghui Zhang, Mengting Li, Jinjie Zhou, Yanjie Zhu, Shanshan Wang, Dong Liang, Yang Chen, Qiegen Liu
High-dimensional embedding network derived prior for compressive sensing MRI reconstruction. Medical Image Anal. 64 (2020)
Jinjie Zhou, Zhuonan He, Xiaodong Liu, Yuhao Wang, Shanshan Wang, Qiegen Liu
Transformed denoising autoencoder prior for image restoration. J. Vis. Commun. Image Represent. 72 (2020)
Zhenkun Peng, Jiaxin Li, Cheng Li, Lan Zhang, Hairong Zheng, Shanshan Wang
A Deep Residual Sparse and Cross Domain Reconstruction Network for Dynamic MR Imaging. ICCPR (2020)
Wenqing Hua, Taohui Xiao, Xiran Jiang, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI. Biomed. Signal Process. Control. 58 (2020)
Yu Gong, Hongming Shan, Yueyang Teng, Hairong Zheng, Ge Wang, Shanshan Wang
Low-Dose Pet Image Restoration With 2D And 3D Network Prior Learning. ISBI Workshops (2020)
Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang
AIDE: Annotation-efficient deep learning for automatic medical image segmentation. CoRR (2020)
Xiangshun Liu, Minghui Zhang, Qiegen Liu, Taohui Xiao, Hairong Zheng, Leslie Ying, Shanshan Wang
Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning. ISBI (2020)
Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shanshan Wang, Dong Liang, Qiegen Liu
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction. CoRR (2020)
Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI. IEEE Trans. Computational Imaging 6 (2020)
Junjun He, Cheng Li, Jin Ye, Shanshan Wang, Yu Qiao, Lixu Gu
Classification of Ocular Diseases Employing Attention-Based Unilateral and Bilateral Feature Weighting and Fusion. ISBI (2020)
Haoyun Liang, Yu Gong, Hoel Kervadec, Cheng Li, Jing Yuan, Xin Liu, Hairong Zheng, Shanshan Wang
Laplacian pyramid-based complex neural network learning for fast MR imaging. MIDL (2020)
Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint. CoRR (2020)
Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Yu Qiao, Lixu Gu
Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus Photographs. ISBI (2020)
Wei Zeng, Jie Peng, Shanshan Wang, Qiegen Liu
A comparative study of CNN-based super-resolution methods in MRI reconstruction and its beyond. Signal Process. Image Commun. 81 (2020)
Shanshan Wang, Huitao Cheng, Leslie Ying, Taohui Xiao, Ziwen Ke, Xin Liu, Hairong Zheng, Dong Liang
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution. CoRR (2019)
Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang
Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. MICCAI (3) (2019)
Minghui Zhang, Fengqin Zhang, Qiegen Liu, Shanshan Wang
VST-Net: Variance-stabilizing transformation inspired network for Poisson denoising. J. Vis. Commun. Image Represent. 62 (2019)
Yuan Yuan, Jinjie Zhou, Zhuonan He, Shanshan Wang, Biao Xiong, Qiegen Liu
High-Dimensional Embedding Denoising Autoencoding Prior for Color Image Restoration. ICIP (2019)
Wei Zeng, Jie Peng, Shanshan Wang, Zhicheng Li, Qiegen Liu, Dong Liang
A Comparative Study of CNN-Based Super-Resolution Methods in MRI Reconstruction. ISBI (2019)
Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. MICCAI (2) (2019)
Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. CoRR (2019)
Taohui Xiao, Wenqing Hua, Cheng Li, Shanshan Wang
Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features. ISICDM (2019)
Shanshan Wang, Yanxia Chen, Taohui Xiao, Ziwen Ke, Qiegen Liu, Hairong Zheng
LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset. CoRR (2019)
Guanyu Li, Yiling Liu, Minghui Zhang, Shanshan Wang, Yanjie Zhu, Qiegen Liu, Dong Liang
A Network-Driven Prior Induced Bregman Model for Parallel MR Imaging. EMBC (2019)
Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. CoRR (2019)
Yu Gong, Yueyang Teng, Hongming Shan, Taohui Xiao, Ming Li, Guodong Liang, Ge Wang, Shanshan Wang
Parameter Constrained Transfer Learning for Low Dose PET Image Denoising. CoRR (2019)
Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation. CoRR (2019)
Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang
Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. CoRR (2019)
Ziwen Ke, Shanshan Wang, Huitao Cheng, Leslie Ying, Qiegen Liu, Hairong Zheng, Dong Liang
CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint. CoRR (2019)
Xinfeng Liu, Hao Yang, Kehan Qi, Pei Dong, Qiegen Liu, Xin Liu, Rongpin Wang, Shanshan Wang
MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation. IEEE Access 7 (2019)
Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies. CoRR (2019)
Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI. CoRR (2019)
Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. MICCAI (3) (2019)
Minghui Zhang, Yuan Yuan, Fengqin Zhang, Siyuan Wang, Shanshan Wang, Qiegen Liu
Multi-Noise and Multi-Channel Derived Prior Information for Grayscale Image Restoration. IEEE Access 7 (2019)
Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies. MICCAI (3) (2019)
Biao Xiong, Qiegen Liu, Jiaojiao Xiong, Sanqian Li, Shanshan Wang, Dong Liang
Field-of-Experts Filters Guided Tensor Completion. IEEE Trans. Multim. 20 (9) (2018)
Shanshan Wang, Sha Tan, Yuan Gao, Qiegen Liu, Leslie Ying, Taohui Xiao, Yuanyuan Liu, Xin Liu, Hairong Zheng, Dong Liang
Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging. IEEE Trans. Medical Imaging 37 (1) (2018)
Hui Sun, Cheng Li, Boqiang Liu, Shanshan Wang
AUNet: Breast Mass Segmentation of Whole Mammograms. CoRR (2018)
Shanshan Wang, Ziwen Ke, Huitao Cheng, Sen Jia, Leslie Ying, Hairong Zheng, Dong Liang
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training. CoRR (2018)
Yongjin Zhou, Jingxu Xu, Qiegen Liu, Cheng Li, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification. IEEE Trans. Biomed. Eng. 65 (9) (2018)
Jingxu Xu, Cheng Li, Yongjin Zhou, Lisha Mou, Hairong Zheng, Shanshan Wang
Classifying Mammographic Breast Density by Residual Learning. CoRR (2018)
Qiegen Liu, Shanshan Wang, Dong Liang
Sparse and dense hybrid representation via subspace modeling for dynamic MRI. Comput. Medical Imaging Graph. 56 (2017)
Nian Cai, Weisi Xie, Zhenghang Su, Shanshan Wang, Dong Liang
Sparse Parallel MRI Based on Accelerated Operator Splitting Schemes. Comput. Math. Methods Medicine 2016 (2016)
Pei Dong, Shanshan Wang, Yong Xia, Dong Liang, David Dagan Feng
Foreground Detection With Simultaneous Dictionary Learning and Historical Pixel Maintenance. IEEE Trans. Image Process. 25 (11) (2016)
Shanshan Wang, Zhenghang Su, Leslie Ying, Xi Peng, Shun Zhu, Feng Liang, Dagan Feng, Dong Liang
Accelerating magnetic resonance imaging via deep learning. ISBI (2016)
Jianbo Liu, Shanshan Wang, Xi Peng, Dong Liang
Undersampled MR Image Reconstruction with Data-Driven Tight Frame. Comput. Math. Methods Medicine 2015 (2015)
Xi Peng, Qingyong Zhu, Shanshan Wang, Dong Liang
Reference guided CS-MRI with gradient orientation priors. EMBC (2015)
Shanshan Wang, Xi Peng, Pei Dong, Leslie Ying, David Dagan Feng, Dong Liang
Parallel imaging via sparse representation over a learned dictionary. ISBI (2015)
Shanshan Wang, Qiegen Liu, Yong Xia, Pei Dong, Jianhua Luo, Qiu Huang, David Dagan Feng
Dictionary learning based impulse noise removal via L1-L1 minimization. Signal Process. 93 (9) (2013)
Shanshan Wang, Yong Xia, Qiegen Liu, Pei Dong, David Dagan Feng, Jianhua Luo
Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images. IEEE Trans. Image Process. 22 (12) (2013)
Qiegen Liu, Shanshan Wang, Kun Yang, Jianhua Luo, Yuemin Zhu, Dong Liang
Highly Undersampled Magnetic Resonance Image Reconstruction Using Two-Level Bregman Method With Dictionary Updating. IEEE Trans. Medical Imaging 32 (7) (2013)
Qiegen Liu, Shanshan Wang, Leslie Ying, Xi Peng, Yanjie Zhu, Dong Liang
Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery. IEEE Trans. Image Process. 22 (12) (2013)
Qiegen Liu, Shanshan Wang, Jianhua Luo, Yuemin Zhu, Meng Ye
An augmented Lagrangian approach to general dictionary learning for image denoising. J. Vis. Commun. Image Represent. 23 (5) (2012)
Shanshan Wang, Yong Xia, Qiegen Liu, Jianhua Luo, Yuemin Zhu, David Dagan Feng
Gabor feature based nonlocal means filter for textured image denoising. J. Vis. Commun. Image Represent. 23 (7) (2012)
Qiegen Liu, Shanshan Wang, Jianhua Luo
A novel predual dictionary learning algorithm. J. Vis. Commun. Image Represent. 23 (1) (2012)
Qiegen Liu, Jianhua Luo, Shanshan Wang, Moyan Xiao, Meng Ye
An augmented Lagrangian multi-scale dictionary learning algorithm. EURASIP J. Adv. Signal Process. 2011 (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shanshan Wang