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Shanshan Wang

Blind Image Quality Assessment for MRI with A Deep Three-dimensional content-adaptive Hyper-Network


Jul 13, 2021
Kehan Qi, Haoran Li, Chuyu Rong, Yu Gong, Cheng Li, Hairong Zheng, Shanshan Wang

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* 11 pages, 3 figures, 2 tables 
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Few-Shot Electronic Health Record Coding through Graph Contrastive Learning


Jun 29, 2021
Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Qiang Yan, Evangelos Kanoulas, Maarten de Rijke

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Deep neural network Based Low-latency Speech Separation with Asymmetric analysis-Synthesis Window Pair


Jun 22, 2021
Shanshan Wang, Gaurav Naithani, Archontis Politis, Tuomas Virtanen

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* Accepted to EUSIPCO-2021 
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Audio-visual scene classification: analysis of DCASE 2021 Challenge submissions


May 28, 2021
Shanshan Wang, Toni Heittola, Annamaria Mesaros, Tuomas Virtanen

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


Dec 14, 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

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


Nov 27, 2020
Kehan Qi, Yu Gong, Xinfeng Liu, Xin Liu, Hairong Zheng, Shanshan Wang

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Homotopic Gradients of Generative Density Priors for MR Image Reconstruction


Aug 14, 2020
Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shanshan Wang, Dong Liang, Qiegen Liu

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


Aug 06, 2020
Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang

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Self-adaptive Re-weighted Adversarial Domain Adaptation


Jun 02, 2020
Shanshan Wang, Lei Zhang

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* to appear in IJCAI2020 
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Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision


Apr 14, 2020
Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed

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* Full paper, accepted for presentation at MIDL2020 
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Parameter Constrained Transfer Learning for Low Dose PET Image Denoising


Oct 13, 2019
Yu Gong, Yueyang Teng, Hongming Shan, Taohui Xiao, Ming Li, Guodong Liang, Ge Wang, Shanshan Wang

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* 10 pages and 12 figures 
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IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI


Sep 25, 2019
Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang

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


Aug 24, 2019
Shanshan Wang, Yanxia Chen, Taohui Xiao, Ziwen Ke, Qiegen Liu, Hairong Zheng

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D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation


Aug 14, 2019
Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang

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Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging


Aug 06, 2019
Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang

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


Aug 06, 2019
Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang

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* 9 pages, 5 figures 
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DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution


Jul 29, 2019
Shanshan Wang, Huitao Cheng, Leslie Ying, Taohui Xiao, Ziwen Ke, Xin Liu, Hairong Zheng, Dong Liang

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


Jul 17, 2019
Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang

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


Jul 16, 2019
Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang

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Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation


Mar 25, 2019
Lei Zhang, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Yang, David Zhang

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* This paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems 
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CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint


Jan 18, 2019
Ziwen Ke, Shanshan Wang, Huitao Cheng, Leslie Ying, Qiegen Liu, Hairong Zheng, Dong Liang

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


Nov 06, 2018
Shanshan Wang, Ziwen Ke, Huitao Cheng, Sen Jia, Ying Leslie, Hairong Zheng, Dong Liang

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* 11 pages, 12 figures 
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AUNet: Breast Mass Segmentation of Whole Mammograms


Oct 24, 2018
Hui Sun, Cheng Li, Boqiang Liu, Shanshan Wang

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Classifying Mammographic Breast Density by Residual Learning


Sep 21, 2018
Jingxu Xu, Cheng Li, Yongjin Zhou, Lisha Mou, Hairong Zheng, Shanshan Wang

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Fine-grained visual recognition with salient feature detection


Aug 14, 2018
Hui Feng, Shanshan Wang, Shuzhi Sam Ge

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* 10 pages, 6 figures, 5 tables 
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Object Activity Scene Description, Construction and Recognition


May 01, 2018
Hui Feng, Shanshan Wang, Shuzhi Sam Ge

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* 13 pages, 9 figures 
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CatGAN: Coupled Adversarial Transfer for Domain Generation


Nov 24, 2017
Shanshan Wang, Lei Zhang

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Cross Domain Adaptation by Learning Partially Shared Classifiers and Weighting Source Data Points in the Shared Subspaces


May 21, 2016
Hongqi Wang, Anfeng Xu, Shanshan Wang, Sunny Chughtai

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