Liyan Sun 

孙立言             

Organization:

Lab of Smart Data and Signal Processing,
Xiamen University

Address:

Room 601, Scientific Research Building
Department of Communication Engineering
Xiamen University
Xiamen, Fujian, China

Email:

sunly@stu.xmu.edu.cn

Google Scholar:

Google Scholar Profile




I'm currently a fourth year PhD student in Xiamen University, supervised by Prof. Xinghao Ding. Before that, I got the B.Eng degree in Communication Engineering at Zhengzhou University in 2014. From Nov. 2018 to Nov 2019, I was a visiting scholar supervised by Prof. John Paisley in the Data Science Institute at Columbia University.

My research interests include medical image reconstruction, medical image analysis and machine learning.

Now I am looking for a postdoc position.


 

Publications

2020

  • An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection.
    Liyan Sun, Jiexiang Wang, Yue Huang, Xinghao Ding*, Hayit Greenspan and John Paisley
    IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)
    [pdf] [code]

  • A Dual-domain Deep Lattice Network for Rapid MRI Reconstruction.
    Liyan Sun, Binlin Shu, Xinghao Ding*, Congbo Cai, Yue Huang and John Paisley
    Neurocomputing (Accepted)
    [pdf] [code]

  • A Deep Error Correction Network for Compressed Sensing MRI.
    Liyan Sun, Zhiwen Fan, Xinghao Ding*, Yue Huang and John Paisley
    BMC Biomedical Engineering (Minor Revision)
    [pdf] [code]

2019

  • A 3D Spatially-Weighted Network for Segmentation of Brain Tissue from MRI.
    Liyan Sun, Wenao Ma, Xinghao Ding*, Yue Huang, Dong Liang and John Paisley
    IEEE Transactions on Medical Imaging(IEEE TMI)
    [pdf] [code]

  • A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction.
    Liyan Sun, Zhiwen Fan, Xueyang Fu, Yue Huang, Xinghao Ding* and John Paisley
    IEEE Transactions on Image Processing (IEEE TIP)
    [pdf] [code]

  • Joint CS-MRI Reconstruction and Segmentation with an Unified Deep Network.
    Liyan Sun, Zhiwen Fan, Xinghao Ding*, Yue Huang and John Paisley
    International Conference on Information Processing in Medical Imaging (IPMI)
    [pdf] [code]

  • A Divide-and-conquer Approach to Compressed Sensing MRI.
    Liyan Sun, Zhiwen Fan, Xinghao Ding*, Congbo Cai, Yue Huang and John Paisley
    Magnetic Resonance Imaging (MRI)
    [pdf] [code]

  • Region-of-interest Undersampled MRI Reconstruction: A Deep Convolutional Neural Network Approach.
    Liyan Sun, Zhiwen Fan, Xinghao Ding*, Yue Huang and John Paisley
    Magnetic Resonance Imaging (MRI)
    [pdf] [code]

2018

  • Compressed Sensing MRI Using a Recursive Dilated Network.
    Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding* and John Paisley
    AAAI Conference on Artificial Intelligence (AAAI)
    [pdf] [code]

  • A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI.
    Zhiwen Fan, Liyan Sun, Xinghao Ding*, Yue Huang, Congbo Cai and John Paisley
    European Conference on Computer Vision (ECCV)
    [pdf] [code]
  • A Deep Ensemble Network for Compressed Sensing MRI.
    Huafeng Wu, Yawen Wu, Liyan Sun, Congbo Cai, Yue Huang and Xinghao Ding*
    International Conference on Neural Information Processing (ICONIP)
    [pdf] [code]

2017

  • Compressed Sensing MRI Using Total Variation Regularization with K-space Decomposition.
    Liyan Sun, Yue Huang, Congbo Cai and Xinghao Ding*
    IEEE International Conference on Image Processing (ICIP)
    [pdf] [code]

2015

  • A Novel Nonlocal MRI Reconstruction Algorithm with Patch-based Low Rank Regularization.
    Liyan Sun, Jinchu Chen, Delu Zeng and Xinghao Ding*
    IEEE Global Conference on Signal and Information Processing (GlobalSIP)
    [pdf] [code]
  • Patch-based Nonlocal Dynamic MRI Reconstruction with Low-rank Prior.
    Liyan Sun, Jinchu Chen, Xiaoping Zhang and Xinghao Ding*
    International Workshop on Multimedia Signal Processing (MMSP)
    [pdf] [code]
 

Friends

 

Awards

    The member of the first-place team in the MR Brain Image Segmentation Challenge MRBrainS13
    at MICCAI 2013   

    The member of the winning team in the 3-classes MR Brain Image Segmentation Challenge MRBrainS18
    at MICCAI 2018   

 

Services

    Reviewer of the IJCAI 2018 and NeurIPS 2019