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ORCIDShanshan Wang 0002
Shan-Shan Wang 0002
Person information
- affiliation: Chinese Academy of Sciences, Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen, China
- affiliation: Shanghai Jiao Tong University, Shanghai, China
- affiliation: University of Sydney, Australia 2014
Other persons with the same name
- Shanshan Wang (aka: Shan-Shan Wang) — disambiguation page
- Shanshan Wang 0001 — Qualcomm Incorporated, San Diego, CA, USA (and 1 more)
- Shanshan Wang 0003 — University of Jinan, Jinan, China
- Shanshan Wang 0004
![[0000-0003-3279-1508]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3279-1508")
— Nanjing University of Aeronautics and Astronautics, Nanjing, China - Shanshan Wang 0005 — Beihang University, School of Economics and Management, Beijing, China (and 1 more)
- Shanshan Wang 0006 — Université Paris-Saclay, Gif-sur-Yvette, France
- Shanshan Wang 0007 — Guilin University of Electronic Technology, Guilin, China
- Shanshan Wang 0008 — Anhui University, Institutes of Physical Science and Information Technology, China (and 2 more)
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2020 – today
- 2024
[j40]Ruoyou Wu, Cheng Li, Juan Zou, Yong Liang, Shanshan Wang:
Model-based federated learning for accurate MR image reconstruction from undersampled k-space data. Comput. Biol. Medicine 180: 108905 (2024)- [j39]Juan Zou, Tingrui Pei, Cheng Li, Ruoyou Wu, Shanshan Wang:
Self-Supervised Federated Learning for Fast MR Imaging. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j38]Zhenguo Wang, Yaping Wu, Zeheng Xia, Xinyi Chen, Xiaochen Li, Yan Bai, Yun Zhou, Dong Liang, Hairong Zheng, Yongfeng Yang, Shanshan Wang, Meiyun Wang, Tao Sun:
Non-Invasive Quantification of the Brain [¹⁸F]FDG-PET Using Inferred Blood Input Function Learned From Total-Body Data With Physical Constraint. IEEE Trans. Medical Imaging 43(7): 2563-2573 (2024) - [c37]Alou Diakite, Cheng Li, Lei Xie, Yuanjing Feng, Hua Han, Pei Dong, Shanshan Wang:
Lesen: Label-Efficient Deep Learning for Multi-Parametric Mri-Based Visual Pathway Segmentation. ISBI 2024: 1-5 - [c36]Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang:
Enhancing Representation in Medical Vision-Language Foundation Models Via Multi-Scale Information Extraction Techniques. ISBI 2024: 1-5 - [c35]Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang:
Mlip: Medical Language-Image Pre-Training With Masked Local Representation Learning. ISBI 2024: 1-5 - [c34]Jing Yang, Jian Cheng, Cheng Li, Wenxin Fan, Juan Zou, Ruoyou Wu, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Simultaneous Q-Space Sampling Optimization and Reconstruction for Fast and High-Fidelity Diffusion Magnetic Resonance Imaging. ISBI 2024: 1-4 - [c33]Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Guangming Shi, Hairong Zheng, Qiegen Liu, Shanshan Wang:
Multimodal Self-Supervised Learning for Lesion Localization. ISBI 2024: 1-5 - [c32]Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang:
Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining. MICCAI (9) 2024: 615-625 - [i55]Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Shanshan Wang:
Multimodal self-supervised learning for lesion localization. CoRR abs/2401.01524 (2024) - [i54]Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Shanshan Wang:
Enhancing the medical foundation model with multi-scale and cross-modality feature learning. CoRR abs/2401.01583 (2024) - [i53]Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Shanshan Wang:
MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning. CoRR abs/2401.01591 (2024) - [i52]Alou Diakite, Cheng Li, Lei Xie, Yuanjing Feng, Hua Han, Shanshan Wang:
LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation. CoRR abs/2401.01654 (2024) - [i51]Jing Yang, Jian Cheng, Cheng Li, Wenxin Fan, Juan Zou, Ruoyou Wu, Shanshan Wang:
Simultaneous q-Space Sampling Optimization and Reconstruction for Fast and High-fidelity Diffusion Magnetic Resonance Imaging. CoRR abs/2401.01662 (2024) - [i50]Hua Han, Cheng Li, Lei Xie, Yuanjing Feng, Alou Diakite, Shanshan Wang:
Modality Exchange Network for Retinogeniculate Visual Pathway Segmentation. CoRR abs/2401.01685 (2024) - [i49]Wenxin Fan, Jian Cheng, Cheng Li, Xinrui Ma, Jing Yang, Juan Zou, Ruoyou Wu, Qiegen Liu, Shanshan Wang:
AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-Preserving Model-based Deep Learning. CoRR abs/2401.01693 (2024) - [i48]Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Shanshan Wang:
Generalizable vision-language pre-training for annotation-free pathology localization. CoRR abs/2401.02044 (2024) - [i47]Cheng Li, Weijian Huang, Hao Yang, Jiarun Liu, Shanshan Wang:
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement. CoRR abs/2401.11421 (2024) - [i46]Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Yizhou Yu, Yong Liang, Guangming Shi, Shaoting Zhang, Hairong Zheng, Shanshan Wang:
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining. CoRR abs/2402.03302 (2024) - [i45]Wenxin Fan, Jian Cheng, Cheng Li, Xinrui Ma, Jing Yang, Juan Zou, Ruoyou Wu, Zan Chen, Yuanjing Feng, Hairong Zheng, Shanshan Wang:
DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging. CoRR abs/2405.03159 (2024) - [i44]Mianxin Liu, Jinru Ding, Jie Xu, Weiguo Hu, Xiaoyang Li, Lifeng Zhu, Zhian Bai, Xiaoming Shi, Benyou Wang, Haitao Song, Pengfei Liu, Xiaofan Zhang, Shanshan Wang, Kang Li, Haofen Wang, Tong Ruan, Xuanjing Huang, Xin Sun, Shaoting Zhang:
MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models. CoRR abs/2407.10990 (2024) - [i43]Taohui Xiao, Jian Cheng, Wenxin Fan, Jing Yang, Cheng Li, Enqing Dong, Shanshan Wang:
RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling under Continuous Representation. CoRR abs/2408.01944 (2024) - [i42]Wenxin Fan, Jian Cheng, Cheng Li, Jing Yang, Ruoyou Wu, Juan Zou, Shanshan Wang:
AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-preserving Model-based Deep Learning. CoRR abs/2408.10236 (2024) - 2023
- [j37]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: 104876 (2023) - [j36]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): 2659-2670 (2023) - [j35]Yuhao Wang, Ruirui Liu, Zihao Li, Shanshan Wang, Cailian Yang, Qiegen Liu:
Variable Augmented Network for Invertible Modality Synthesis and Fusion. IEEE J. Biomed. Health Informatics 27(6): 2898-2909 (2023) - [j34]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): 2010-2021 (2023) - [j33]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): 3420-3435 (2023) - [c31]Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji:
Meta Architecture for Point Cloud Analysis. CVPR 2023: 17682-17691 - [c30]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: 1-4 - [c29]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: 1-4 - [c28]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: 1-4 - [c27]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: 1-4 - [c26]Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang:
Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI. ISBI 2023: 1-4 - [c25]Ruoyou Wu, Cheng Li, Juan Zou, Shanshan Wang:
FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 347-356 - [i41]Weijian Huang, Hao Yang, Cheng Li, Mingtong Dai, Rui Yang, Shanshan Wang:
MGA: Medical generalist agent through text-guided knowledge transformation. CoRR abs/2303.08562 (2023) - [i40]Hao Yang, Weijian Huang, Jiarun Liu, Cheng Li, Shanshan Wang:
Few-shot Class-incremental Learning for Cross-domain Disease Classification. CoRR abs/2304.05734 (2023) - [i39]Weijian Huang, Cheng Li, Hao Yang, Jiarun Liu, Shanshan Wang:
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning. CoRR abs/2309.05904 (2023) - [i38]Yuxia Huang, Zhonghui Wu, Xiaoling Xu, Minghui Zhang, Shanshan Wang, Qiegen Liu:
Partition-based K-space Synthesis for Multi-contrast Parallel Imaging. CoRR abs/2312.00387 (2023) - [i37]Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Shanshan Wang:
Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation. CoRR abs/2312.10978 (2023) - 2022
- [j32]Zhenzhen Xue, Cheng Li, Zhuo-Ming Luo, Shan-Shan Wang, Ying-Ying Xu:
Automated classification of protein expression levels in immunohistochemistry images to improve the detection of cancer biomarkers. BMC Bioinform. 23(1): 470 (2022) - [c24]Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu:
Universal Generative Modeling for Calibration-Free Parallel Mr Imaging. ISBI 2022: 1-5 - [c23]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: 3-13 - [i36]Yeqi Wang, Longfei Li, Cheng Li, Yan Xi, Hairong Zheng, Yusong Lin, Shanshan Wang:
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading. CoRR abs/2201.02746 (2022) - [i35]Xianghao Liao, Shanshan Wang, Lanlan Tu, Yuhao Wang, Dong Liang, Qiegen Liu:
Variable Augmented Network for Invertible MR Coil Compression. CoRR abs/2201.07428 (2022) - [i34]Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu:
Universal Generative Modeling for Calibration-free Parallel Mr Imaging. CoRR abs/2201.10210 (2022) - [i33]Shanshan Wang, Ruoyou Wu, Cheng Li, Juan Zou, Hairong Zheng:
PARCEL: Physics-based unsupervised contrastive representation learning for parallel MR imaging. CoRR abs/2202.01494 (2022) - [i32]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 abs/2203.09724 (2022) - [i31]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 abs/2203.10776 (2022) - [i30]Hui Tao, Haifeng Wang, Shanshan Wang, Dong Liang, Xiaoling Xu, Qiegen Liu:
Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging. CoRR abs/2204.01979 (2022) - [i29]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 abs/2208.03904 (2022) - [i28]Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang:
Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI. CoRR abs/2211.07966 (2022) - [i27]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. CoRR abs/2211.07993 (2022) - [i26]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. CoRR abs/2211.08783 (2022) - [i25]Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Nazik Elsayed, Zhenzhen Xue, Hairong Zheng, Shanshan Wang:
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation. CoRR abs/2211.08840 (2022) - [i24]Xue Liu, Juan Zou, Xiawu Zheng, Cheng Li, Hairong Zheng, Shanshan Wang:
Iterative Data Refinement for Self-Supervised MR Image Reconstruction. CoRR abs/2211.13440 (2022) - [i23]Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji:
Meta Architecure for Point Cloud Analysis. CoRR abs/2211.14462 (2022) - 2021
- [j31]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: 102579 (2021) - [j30]Hongyu Wang, Shanshan Wang, Zibo Qin, Yanning Zhang, Ruijiang Li, Yong Xia:
Triple attention learning for classification of 14 thoracic diseases using chest radiography. Medical Image Anal. 67: 101846 (2021) - [j29]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): 940-950 (2021) - [j28]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): 995-1002 (2021) - [j27]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): 1003-1013 (2021) - [j26]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): 2589-2599 (2021) - [j25]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): 3265-3278 (2021) - [c22]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: 571-574 - [c21]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: 48-58 - [c20]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: 382-391 - [c19]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: 569-578 - [i22]Yu Guan, Zongjiang Tu, Shanshan Wang, Qiegen Liu, Yuhao Wang, Dong Liang:
MRI Reconstruction Using Deep Energy-Based Model. CoRR abs/2109.03237 (2021) - [i21]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 abs/2109.12502 (2021) - [i20]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 abs/2109.12629 (2021) - [i19]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 abs/2109.12634 (2021) - [i18]Longfei Li, Rui Yang, Xin Chen, Cheng Li, Hairong Zheng, Yusong Lin, Zaiyi Liu, Shanshan Wang:
Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study. CoRR abs/2112.13686 (2021) - 2020
- [j24]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: 101869 (2020) - [j23]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: 102927 (2020) - [j22]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: 101717 (2020) - [j21]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) - [j20]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: 434-446 (2020) - [c18]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: 350-355 - [c17]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: 1-4 - [c16]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: 1-4 - [c15]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: 1-5 - [c14]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: 1258-1261 - [c13]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: 454-464 - [i17]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 abs/2008.01896 (2020) - [i16]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 abs/2008.06284 (2020) - [i15]Kehan Qi, Yu Gong, Xinfeng Liu, Xin Liu, Hairong Zheng, Shanshan Wang:
Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning. CoRR abs/2011.13614 (2020) - [i14]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 abs/2012.04885 (2020)
2010 – 2019
- 2019
- [j19]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: 150082-150092 (2019) - [j18]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: 178486-178495 (2019) - [j17]Minghui Zhang, Fengqin Zhang, Qiegen Liu, Shanshan Wang:
VST-Net: Variance-stabilizing transformation inspired network for Poisson denoising. J. Vis. Commun. Image Represent. 62: 12-22 (2019) - [c12]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: 4483-4486 - [c11]Yuan Yuan, Jinjie Zhou, Zhuonan He, Shanshan Wang, Biao Xiong, Qiegen Liu:
High-Dimensional Embedding Denoising Autoencoding Prior for Color Image Restoration. ICIP 2019: 759-763 - [c10]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: 1678-1682 - [c9]Taohui Xiao, Wenqing Hua, Cheng Li, Shanshan Wang:
Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features. ISICDM 2019: 208-213 - [c8]Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang:
Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. MICCAI (3) 2019: 30-38 - [c7]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: 57-65 - [c6]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: 247-255 - [c5]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: 266-274 - [i13]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 abs/1901.06111 (2019) - [i12]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 abs/1906.04359 (2019) - [i11]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 abs/1907.07000 (2019) - [i10]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 abs/1907.07008 (2019) - [i9]Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. CoRR abs/1908.01997 (2019) - [i8]Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang:
Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. CoRR abs/1908.02054 (2019) - [i7]Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang:
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation. CoRR abs/1908.05104 (2019) - [i6]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 abs/1908.09140 (2019) - [i5]Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang:
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI. CoRR abs/1909.10856 (2019) - [i4]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 abs/1910.06749 (2019) - 2018
- [j16]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): 1935-1942 (2018) - [j15]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): 251-261 (2018) - [j14]Biao Xiong, Qiegen Liu, Jiaojiao Xiong, Sanqian Li, Shanshan Wang, Dong Liang:
Field-of-Experts Filters Guided Tensor Completion. IEEE Trans. Multim. 20(9): 2316-2329 (2018) - [i3]Jingxu Xu, Cheng Li, Yongjin Zhou, Lisha Mou, Hairong Zheng, Shanshan Wang:
Classifying Mammographic Breast Density by Residual Learning. CoRR abs/1809.10241 (2018) - [i2]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 abs/1810.00302 (2018) - [i1]Hui Sun, Cheng Li, Boqiang Liu, Shanshan Wang:
AUNet: Breast Mass Segmentation of Whole Mammograms. CoRR abs/1810.10151 (2018) - 2017
- [j13]Qiegen Liu, Shanshan Wang, Dong Liang:
Sparse and dense hybrid representation via subspace modeling for dynamic MRI. Comput. Medical Imaging Graph. 56: 24-37 (2017) - 2016
- [j12]Nian Cai, Weisi Xie, Zhenghang Su, Shanshan Wang, Dong Liang:
Sparse Parallel MRI Based on Accelerated Operator Splitting Schemes. Comput. Math. Methods Medicine 2016: 1724630:1-1724630:14 (2016) - [j11]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): 5035-5049 (2016) - [c4]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: 514-517 - 2015
- [j10]Jianbo Liu, Shanshan Wang, Xi Peng, Dong Liang:
Undersampled MR Image Reconstruction with Data-Driven Tight Frame. Comput. Math. Methods Medicine 2015: 424087:1-424087:10 (2015) - [j9]Pei Dong, Yong Xia, Shanshan Wang, Li Zhuo, David Dagan Feng:
An iteratively reweighting algorithm for dynamic video summarization. Multim. Tools Appl. 74(21): 9449-9473 (2015) - [c3]Xi Peng, Qingyong Zhu, Shanshan Wang, Dong Liang:
Reference guided CS-MRI with gradient orientation priors. EMBC 2015: 7498-7501 - [c2]Shanshan Wang, Xi Peng, Pei Dong, Leslie Ying, David Dagan Feng, Dong Liang:
Parallel imaging via sparse representation over a learned dictionary. ISBI 2015: 687-690 - 2014
- [b1]Shanshan Wang:
Study of analytic and trained dictionaries for sparse representation and its applications. University of Sydney, Australia, 2014 - 2013
- [j8]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): 2696-2708 (2013) - [j7]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): 4652-4663 (2013) - [j6]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): 5214-5225 (2013) - [j5]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): 1290-1301 (2013) - [c1]Shanshan Wang, Yong Xia, Pei Dong, David Dagan Feng, Jianhua Luo, Qiu Huang:
Magnetic resonance image restoration via dictionary learning under spatially adaptive constraints. EMBC 2013: 4030-4033 - 2012
- [j4]Qiegen Liu, Shanshan Wang, Jianhua Luo:
A novel predual dictionary learning algorithm. J. Vis. Commun. Image Represent. 23(1): 182-193 (2012) - [j3]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): 753-766 (2012) - [j2]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): 1008-1018 (2012) - 2011
- [j1]Qiegen Liu, Jianhua Luo, Shanshan Wang, Moyan Xiao, Meng Ye:
An augmented Lagrangian multi-scale dictionary learning algorithm. EURASIP J. Adv. Signal Process. 2011: 58 (2011)
Coauthor Index
[j40] [j39] [c37] [c36] [c35] [c34] [c33] [c32] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i45] [i43] [i42] [j37] [j36] [c30] [c29] [c28] [c27] [c26] [c25] [i41] [i40] [i39] [i37] [j32] [c23] [i36] [i33] [i32] [i29] [i28] [i27] [i26] [i25] [i24] [j27] [j26] [c22] [c21] [c20] [c19] [i21] [i20] [i19] [i18] [c18] [c16] [c14] [c13] [i17] [i14] [c9] [c8] [c7] [c6] [c5] [i11] [i10] [i9] [i8] [j16] [i3] [i1]
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