Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Rongping Zeng"'
Publikováno v:
Bioengineering, Vol 11, Iss 6, p 614 (2024)
Quantitative and objective evaluation tools are essential for assessing the performance of machine learning (ML)-based magnetic resonance imaging (MRI) reconstruction methods. However, the commonly used fidelity metrics, such as mean squared error (M
Externí odkaz:
https://doaj.org/article/3df3f7cd593541ab8b419f24b88f2805
Autor:
Ge Wang, Andreu Badal, Xun Jia, Jonathan S. Maltz, Klaus Mueller, Kyle J. Myers, Chuang Niu, Michael Vannier, Pingkun Yan, Zhou Yu, Rongping Zeng
Publikováno v:
Nature Machine Intelligence. 4:922-929
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c96eaf39c09ac097d3d614591cfd476a
https://doi.org/10.1038/s42256-022-00549-6
https://doi.org/10.1038/s42256-022-00549-6
Publikováno v:
Magnetic Resonance Materials in Physics, Biology and Medicine.
Although there has been a resurgence of interest in low field magnetic resonance imaging (MRI) systems in recent years, low field MRI is not a new concept. FDA has a long history of evaluating the safety and effectiveness of MRI systems encompassing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f926fa4d8bd22967900fdbd5c1307dd4
https://doi.org/10.1007/s10334-023-01083-1
https://doi.org/10.1007/s10334-023-01083-1
Autor:
Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Kyle J. Myers, Miguel P. Eckstein
Publikováno v:
Medical Physics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a43ba35fb9f86f719a45ab0565b8ced
https://doi.org/10.1002/mp.16412
https://doi.org/10.1002/mp.16412
Publikováno v:
Medical Imaging 2023: Physics of Medical Imaging.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00d017546aa22d065b59b84f44fd1f71
https://doi.org/10.1117/12.2653635
https://doi.org/10.1117/12.2653635
Publikováno v:
Medical Imaging 2023: Physics of Medical Imaging.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::973cfbe1d8e052cf20045f945fdeec31
https://doi.org/10.1117/12.2654017
https://doi.org/10.1117/12.2654017
Autor:
Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
Publikováno v:
Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6574ddbef8b3aa9c9f3b088086a9fb5b
https://doi.org/10.1117/12.2655265
https://doi.org/10.1117/12.2655265
Autor:
Varun A. Kelkar, Dimitrios S. Gotsis, Rucha Deshpande, Frank J. Brooks, Prabhat KC, Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
Publikováno v:
Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d808c269f8d7695d531342b7dc670b3d
https://doi.org/10.1117/12.2654590
https://doi.org/10.1117/12.2654590
Publikováno v:
7th International Conference on Image Formation in X-Ray Computed Tomography.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::056b06e58a4f8108b2bcd66fde556482
https://doi.org/10.1117/12.2646888
https://doi.org/10.1117/12.2646888
Autor:
Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat KC, Rongping Zeng, Mark A. Anastasio
Modern generative models, such as generative adversarial networks (GANs), hold tremendous promise for several areas of medical imaging, such as unconditional medical image synthesis, image restoration, reconstruction and translation, and optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::856f5590afa1565820d9778e4fa0e204
http://arxiv.org/abs/2204.03547
http://arxiv.org/abs/2204.03547
