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| | Chen, LLWu, WLChan, WMFong, CHYNg, ACKIP, JDLu, LDISSANAYAKE, TKDDing, XCai, JPZhang, AJXTam, SHung, IFNChan, KHYuen, KYTo, KKW | 2019 |
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| | Fang, ZMiao, YDing, XDeng, HLiu, SWang, FZhou, RWatson, CFu, CHu, QLillard Jr, JWPowell, MChen, YForte, JGYao, X | 2006 |
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| | This paper investigates the problem of pseudo-healthy synthesis that is defined as synthesizing a subject-specific pathology-free image from a pathological one. Recent approaches based on Generative Adversarial Network (GAN) have been developed for this task. However, these methods will inevitably fall into the trade-off between preserving the subject-specific identity and generating healthy-like appearances. To overcome this challenge, we propose a novel adversarial training regime, Generator v, YLi, CLin, XSun, LZhuang, YHuang, YDing, XLiu, XYu, Y | 2021 |
| | Ding, XHe, MChan, AWHSong, QXSze, SCChen, HMan, MKHMan, KChan, SLLai, PBSWang, XWong, N | 2019 |
| | | 2022 |
| | | 2021 |
| | Wu, SLi, ZZhang, JWu, XDing, XLiu, YZhou, JZhi, CYu, XChoy, WCHZhu, ZJen, AKY | 2021 |
| | | 2022 |
| | Ding, BYao, YSun, XGao, XXie, ZSun, ZWang, ZDing, XWu, YJin, XChoy, WCHWu, CQHou, X | 2010 |
| | | 2020 |
| | Yao, JFu, CDing, XGuo, ZZenreski, AChen, YAhmed, KLiao, JDou, ZYao, X | 2004 |
| | | 2021 |
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