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Yongyi Yang

Showing results (41-50 of 99) with videos related to

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IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|January 28, 2009
Computer-aided detection and diagnosis of breast cancer with mammography: recent advancesJinshan Tang, Rangaraj M Rangayyan, Jun Xu, et al.
Physics in Medicine and Biology|October 24, 2024
Investigation of scatter energy window width and count levels for deep learning-based attenuation map estimation in cardiac SPECT/CT imagingYuan Chen, P Hendrik Pretorius, Yongyi Yang, et al.
IEEE Signal Processing Magazine|November 11, 2014
Machine Learning in Medical ImagingMiles N Wernick, Yongyi Yang, Jovan G Brankov, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|November 4, 2024
Cardiac motion correction with a deep learning network for perfusion defect assessment in single-photon emission computed tomography myocardial perfusion imagingXirang Zhang, Yongyi Yang, P Hendrik Pretorius, et al.
Medical Physics|November 4, 2020
Deep learning with noise-to-noise training for denoising in SPECT myocardial perfusion imagingJunchi Liu, Yongyi Yang, Miles N Wernick, et al.
Journal of Glaucoma|March 23, 2011
Multispectral diagnostic imaging of the iris in pigment dispersion syndromeDaniel K Roberts, Ana Lukic, Yongyi Yang, et al.
IEEE Transactions on Medical Imaging|February 13, 2009
Learning a channelized observer for image quality assessmentJovan G Brankov, Yongyi Yang, Liyang Wei, et al.
Medical Physics|July 27, 2012
A comparison study of image features between FFDM and film mammogram imagesHao Jing, Yongyi Yang, Miles N Wernick, et al.
Medical Physics|January 10, 2016
Limited-angle effect compensation for respiratory binned cardiac SPECTWenyuan Qi, Yongyi Yang, Miles N Wernick, et al.
IEEE Transactions on Medical Imaging|October 21, 2004
A similarity learning approach to content-based image retrieval: application to digital mammographyIssam El-Naqa, Yongyi Yang, Nikolas P Galatsanos, et al.
Pageof 10

Showing results (41-50 of 99) with videos related to

Sort By:
Pageof 10
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|January 28, 2009
Computer-aided detection and diagnosis of breast cancer with mammography: recent advancesJinshan Tang, Rangaraj M Rangayyan, Jun Xu, et al.
Physics in Medicine and Biology|October 24, 2024
Investigation of scatter energy window width and count levels for deep learning-based attenuation map estimation in cardiac SPECT/CT imagingYuan Chen, P Hendrik Pretorius, Yongyi Yang, et al.
IEEE Signal Processing Magazine|November 11, 2014
Machine Learning in Medical ImagingMiles N Wernick, Yongyi Yang, Jovan G Brankov, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|November 4, 2024
Cardiac motion correction with a deep learning network for perfusion defect assessment in single-photon emission computed tomography myocardial perfusion imagingXirang Zhang, Yongyi Yang, P Hendrik Pretorius, et al.
Medical Physics|November 4, 2020
Deep learning with noise-to-noise training for denoising in SPECT myocardial perfusion imagingJunchi Liu, Yongyi Yang, Miles N Wernick, et al.
Journal of Glaucoma|March 23, 2011
Multispectral diagnostic imaging of the iris in pigment dispersion syndromeDaniel K Roberts, Ana Lukic, Yongyi Yang, et al.
IEEE Transactions on Medical Imaging|February 13, 2009
Learning a channelized observer for image quality assessmentJovan G Brankov, Yongyi Yang, Liyang Wei, et al.
Medical Physics|July 27, 2012
A comparison study of image features between FFDM and film mammogram imagesHao Jing, Yongyi Yang, Miles N Wernick, et al.
Medical Physics|January 10, 2016
Limited-angle effect compensation for respiratory binned cardiac SPECTWenyuan Qi, Yongyi Yang, Miles N Wernick, et al.
IEEE Transactions on Medical Imaging|October 21, 2004
A similarity learning approach to content-based image retrieval: application to digital mammographyIssam El-Naqa, Yongyi Yang, Nikolas P Galatsanos, et al.
Pageof 10