| | | 2021 |
| | | 2020 |
| | SUN, YMui, ZLIU, XYim, AQin, HWong, FLChan, TFYiu, SMLam, HMLim, BL | 2016 |
| | | 2022 |
| | | 2011 |
| | Fan, SRong, YMeng, CCao, ZWang, SZheng, ZWu, CLong, GYang, JXia, LDiao, LLiu, XLin, W | 2021 |
| | | 2011 |
| | 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 |
| | | 2014 |
| | Yu, GYu, ZShi, YWang, YLiu, XLi, ZZhao, YSun, FYu, YShu, Q | 2021 |
| | | 2013 |
| | | 2013 |
| | | 2022 |
| | | 2013 |
| | | 2021 |
| | | 2013 |
| | | 2020 |
| | Arabnia, HRBaetke, FCai, FYCai, WCasavant, TLChen, LDemaria, JDeng, QElbert, SFrohner, AGagliardi, FHe, THinke, THHo, RSCHunsaker, JJo, GSKacsuk, PKnosp, BKunszt, PLau, FLeiwo, JLi, MLiu, XLu, JNi, JPan, YQuarta, GSato, MSchiffmann, WSun, YTong, WWang, SWu, EYang, LTZhao, WZheng, YZhou, MZhou, W | 2005 |
| | Cheng, SGutmann, BZhong, XYe, YFisher, MFBai, FCastleden, ISong, YSong, BHuang, JLiu, XXu, XLim, BLBond, CSYiu, SMSmall, I | 2016 |
| | | 2020 |
