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Source-Free Unsupervised Domain Adaptation: A Survey


Jan 06, 2023
Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu

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* 19 pages, 10 figures 

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Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI


Dec 24, 2022
Lintao Zhang, Lihong Wang, Minhui Yu, Rong Wu, David C. Steffens, Guy G. Potter, Mingxia Liu

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DomainATM: Domain Adaptation Toolbox for Medical Data Analysis


Sep 24, 2022
Hao Guan, Mingxia Liu

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* 10 pages, 13 figures 

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Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI


Jun 24, 2022
Hao Guan, Ling Yue, Pew-Thian Yap, Andrea Bozoki, Mingxia Liu

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* 10 pages, 9 figures 

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Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack


Mar 05, 2021
Mengting Xu, Tao Zhang, Zhongnian Li, Mingxia Liu, Daoqiang Zhang

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* Medical Image Analysis 69 (2021): 101977 
* This version was accepted in the journal Medical Image Analysis (MedIA) 

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Domain Adaptation for Medical Image Analysis: A Survey


Feb 18, 2021
Hao Guan, Mingxia Liu

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* 15 pages, 7 figures 

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Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images


May 24, 2020
Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen

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A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis


May 10, 2020
Li Zhang, Mingliang Wang, Mingxia Liu, Daoqiang Zhang

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* 30 pages, 7 figures 

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Nyström Subspace Learning for Large-scale SVMs


Feb 20, 2020
Weida Li, Mingxia Liu, Daoqiang Zhang

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