| | | 2020 | 20 |
| | | 2013 | 52 |
| | | 2019 | 45 |
| | | 2014 | 57 |
| | | 21-Aug-2014 | 48 |
| | | 2010 | 147 |
| | Moffittt, ABOndrejka, SLMcKinney, MRempel, REGoodlad, JRTeh, CHLeppa, SMannisto, SKovanen, PETse, EWCAu Yeung, KHRKwong, YLSrivastava, GIqbal, JYu, JNaresh, KVilla, DGascoyne, RDSaid, JCzader, MBChadburn, ARichards, KLRajagopalan, DDavis, NSSmith, ECPalus, BCTzeng, TJHealy, JALugar, PLDatta, JLove, CLevy, SDunson, DBZhuang, YHsi, EDDave, SS | 2017 | 67 |
| | 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 | 5 |
| | | 2022 | |
| | | 2017 | 49 |
| | Sundaram, BBehnke, KBelancic, AAl-Salihi, MAThabet, YPolz, RPellegrino, RZhuang, YShinde, PVXu, HCVasilevska, JLongerich, THerebian, DMayatepek, EBock, HHMay, PKordes, CAghaeepour, NMak, TWKeitel, VHäussinger, DScheller, JPandyra, AALang, KSLang, PA | 2019 | |
| | Liang, GChen, QXu, JLiu, YLim, WPeiris, JSMAnderson, LJRuan, LLi, HKan, BDi, BCheng, PChan, KHErdman, DDGu, SYan, XLiang, WZhou, DHaynes, LDuan, SZhang, XZheng, HGao, YTong, SLi, DFang, LQin, PXu, WHuang, JWan, ZZheng, KLi, JDeng, XDiao, LZhou, HHuang, PZhang, WZheng, HZhong, HXie, SLi, WWang, JZhong, YLin, JYan, MWang, HLi, WZhang, EHao, QDong, XWang, HZhou, WZhang, LWang, WZhuang, YYu, JZhang, QZhu, ZZhang, YLai, MChoy, PPoon, LLMGuan, YPeret, TFelton, KEmery, SChern, SCook, BLu, XTamin, AMiao, CDillon, M | 2004 | 106 |
| | | 2021 | 19 |
| | Huang, FChen, WPeng, JLi, YZhuang, YZhu, ZShao, CYang, WYao, HZhang, S | 2018 | 50 |
| | | 2022 | |
| | Mu, YZhuang, YWang, BZhu, GLiu, WChen, JLuo, PLi, SEZhang, CHao, J | 2021 | 8 |
| | | 2017 | 46 |
| | | 2021 | 4 |
| | | 2016 | 46 |
| | | 2014 | 47 |
