Search Results for author: Liyan Sun

Found 11 papers, 0 papers with code

A Closer Look at Personalization in Federated Image Classification

no code implementations22 Apr 2022 Changxing Jing, Yan Huang, Yihong Zhuang, Liyan Sun, Yue Huang, Zhenlong Xiao, Xinghao Ding

This paper shows that it is possible to achieve flexible personalization after the convergence of the global model by introducing representation learning.

Classification Edge-computing +3

AFSC: Adaptive Fourier Space Compression for Anomaly Detection

no code implementations17 Apr 2022 Haote Xu, Yunlong Zhang, Liyan Sun, Chenxin Li, Yue Huang, Xinghao Ding

Data augmentation based methods construct pseudo-healthy images by "pasting" fake lesions on real healthy ones, and a network is trained to predict healthy images in a supervised manner.

Anomaly Detection Data Augmentation

Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation

no code implementations31 May 2021 Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu

In this paper, to address the above issues, we propose a hierarchical deep network where an attention mechanism localizes the low-contrast capillary regions guided by the whole vessels, and enhance the spatial activation in those areas for the sub-type vessels.

Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding

no code implementations10 Dec 2020 Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu

Motivated by the spatial consistency and regularity in medical images, we developed an efficient global correlation module to capture the correlation between a support and query image and incorporate it into the deep network called global correlation network.

Medical Image Segmentation Semantic Segmentation

A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision

no code implementations23 Oct 2020 Liyan Sun, Jianxiong Wu, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu

We further proposed a localization branch realized via an aggregation of high-level features in a deep decoder to predict locations of organ and lesion, which enriches student segmentor with precise localization information.

Lesion Segmentation Semantic Segmentation +1

An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection

no code implementations25 Oct 2018 Liyan Sun, Jiexiang Wang, Yue Huang, Xinghao Ding, Hayit Greenspan, John Paisley

Being able to provide a "normal" counterpart to a medical image can provide useful side information for medical imaging tasks like lesion segmentation or classification validated by our experiments.

Data Augmentation General Classification +4

A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction

no code implementations10 Apr 2018 Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John Paisley

In multi-contrast magnetic resonance imaging (MRI), compressed sensing theory can accelerate imaging by sampling fewer measurements within each contrast.

MRI Reconstruction

A Divide-and-Conquer Approach to Compressed Sensing MRI

no code implementations27 Mar 2018 Liyan Sun, Zhiwen Fan, Xinghao Ding, Congbo Cai, Yue Huang, John Paisley

Compressed sensing (CS) theory assures us that we can accurately reconstruct magnetic resonance images using fewer k-space measurements than the Nyquist sampling rate requires.

A Deep Error Correction Network for Compressed Sensing MRI

no code implementations23 Mar 2018 Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John Paisley

Existing CS-MRI algorithms can serve as the template module for guiding the reconstruction.

MRI Reconstruction

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