Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Dimitrios S. Gotsis"'
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
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
Assessing the ability of generative adversarial networks to learn canonical medical image statistics
Autor:
Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, KC Prabhat, Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
Publikováno v:
IEEE Transactions on Medical Imaging. :1-1
In recent years, generative adversarial networks (GANs) have gained tremendous popularity for potential applications in medical imaging, such as medical image synthesis, restoration, reconstruction, translation, as well as objective image quality ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a06965ea177ac48787c076306b6652a5
https://doi.org/10.1109/tmi.2023.3241454
https://doi.org/10.1109/tmi.2023.3241454