Yongyi Yang
Affiliations: | Illinois Institute of Technology, Chicago, IL, United States |
Area:
Electronics and Electrical Engineering, Biomedical Engineering, Computer Science, PathologyGoogle:
"Yongyi Yang"Children
Sign in to add trainee| Damla Gurkan | grad student | 2000 | Illinois Institute of Technology |
| Jovan G. Brankov | grad student | 2002 | Illinois Institute of Technology |
| Issam M. El Naqa | grad student | 2002 | Illinois Institute of Technology |
| Nathan A. Woods | grad student | 2004 | Illinois Institute of Technology |
| Erwan Gravier | grad student | 2005 | Illinois Institute of Technology |
| Liyang Wei | grad student | 2006 | Illinois Institute of Technology |
| Mingwu Jin | grad student | 2007 | Illinois Institute of Technology |
| Xiaofeng Niu | grad student | 2011 | Illinois Institute of Technology |
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Publications
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| Ramon AJ, Yang Y, Pretorius PH, et al. (2020) Improving Diagnostic Accuracy in Low-Dose SPECT Myocardial Perfusion Imaging with Convolutional Denoising Networks. Ieee Transactions On Medical Imaging |
| Wang J, Yang Y. (2018) A context-sensitive deep learning approach for microcalcification detection in mammograms. Pattern Recognition. 78: 12-22 |
| Juan Ramon A, Yang Y, Wernick MN, et al. (2018) Evaluation of the effect of reducing administered activity on assessment of function in cardiac gated SPECT. Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology |
| Juan Ramon A, Yang Y, Pretorius PH, et al. (2017) Investigation of dose reduction in cardiac perfusion SPECT via optimization and choice of the image reconstruction strategy. Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology |
| Wang J, Nishikawa RM, Yang Y. (2017) Quantitative comparison of clustered microcalcifications in for-presentation and for-processing mammograms in full-field digital mammography. Medical Physics |
| Wang J, Nishikawa RM, Yang Y. (2017) Global detection approach for clustered microcalcifications in mammograms using a deep learning network. Journal of Medical Imaging (Bellingham, Wash.). 4: 024501 |
| Liu H, Wei L, Yang Y, et al. (2016) [Transapical transcatheter aortic valve replacement for high risk elderly patients with predominant aortic incompetence]. Zhonghua Wai Ke Za Zhi [Chinese Journal of Surgery]. 54: 596-600 |
| Wei L, Yang Y, Wang CS, et al. (2016) [Transcatheter aortic valve replacement: the new era, new opportunity and new challenge of cardiac surgery]. Zhonghua Wai Ke Za Zhi [Chinese Journal of Surgery]. 54: 577-81 |
| Yang Y, Bai B, Jin M, et al. (2016) Fluorescent imaging of Au(3+) in living cells with two new high selective Au(3+) probes. Biosensors & Bioelectronics. 86: 939-943 |
| Ablikim M, Achasov MN, Ahmed S, et al. (2016) Observation of an Anomalous Line Shape of the η^{'}π^{+}π^{-} Mass Spectrum near the pp[over ¯] Mass Threshold in J/ψ→γη^{'}π^{+}π^{-}. Physical Review Letters. 117: 042002 |