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 third 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. Now I am doing the visiting scholar research 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.


 

Publications

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(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 (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]

  • An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection.
    Liyan Sun, Jiexiang Wang, Yue Huang, Xinghao Ding*, Hayit Greenspan and John Paisley
    Under Review
    [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
    Under Review
    [pdf] [code]

  • A Deep Error Correction Network for Compressed Sensing MRI.
    Liyan Sun, Zhiwen Fan, Xinghao Ding*, Yue Huang and John Paisley
    Under Review
    [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