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Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction


Sep 15, 2022
Gang Yang, Li Zhang, Man Zhou, Aiping Liu, Xun Chen, Zhiwei Xiong, Feng Wu

* Accepted to ACMMM 2022, 9 pages 

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Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey


Dec 17, 2021
Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang

* Accepted by the IEEE Signal Processing Magazine 

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Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT


Dec 11, 2021
Mengqiu Liu, Ying Liu, Yidong Yang, Aiping Liu, Shana Li, Changbing Qu, Xiaohui Qiu, Yang Li, Weifu Lv, Peng Zhang, Jie Wen


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Towards Open-World EEG Decoding via Deep Learning


Dec 08, 2021
Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang

* Accepted by the IEEE Signal Processing Magazine 

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Unfolding Taylor's Approximations for Image Restoration


Sep 08, 2021
Man Zhou, Zeyu Xiao, Xueyang Fu, Aiping Liu, Gang Yang, Zhiwei Xiong


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MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG


Aug 17, 2020
Jing Zhang, Deng Liang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen


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