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pro vyhledávání: '"Gotsis A."'
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics
Autor:
Deshpande, Rucha, Kelkar, Varun A., Gotsis, Dimitrios, Kc, Prabhat, Zeng, Rongping, Myers, Kyle J., Brooks, Frank J., Anastasio, Mark A.
The findings of the 2023 AAPM Grand Challenge on Deep Generative Modeling for Learning Medical Image Statistics are reported in this Special Report. The goal of this challenge was to promote the development of deep generative models (DGMs) for medica
Externí odkaz:
http://arxiv.org/abs/2405.01822
Autor:
Gkotsis, Dimosthenis E., Gotsis, Efstathios D., Pappas, Eleftherios P., Kapsalaki, Eftichia Z., Seimenis, Ioannis
Signal-to-noise ratio optimization, regarding repetition time selection, was explored mathematically and experimentally for single-voxel proton magnetic resonance spectroscopy. Theoretical findings were benchmarked against phantom measurements at 1.5
Externí odkaz:
http://arxiv.org/abs/2402.09431
Assessing the ability of generative adversarial networks to learn canonical medical image statistics
Autor:
Kelkar, Varun A., Gotsis, Dimitrios S., Brooks, Frank J., KC, Prabhat, Myers, Kyle J., Zeng, Rongping, Anastasio, Mark A.
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:
http://arxiv.org/abs/2204.12007
Autor:
Kelkar, Varun A., Gotsis, Dimitrios S., Brooks, Frank J., Myers, Kyle J., KC, Prabhat, Zeng, Rongping, Anastasio, Mark A.
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:
http://arxiv.org/abs/2204.03547
Autor:
Britteny J. Cassaidy, Brittany A. Moser, Ani Solanki, Qing Chen, Jingjing Shen, Kristen Gotsis, Zoe Lockhart, Nakisha Rutledge, Matthew G. Rosenberger, Yixiao Dong, Delaney Davis, Aaron P. Esser- Kahn
Publikováno v:
ACS Omega, Vol 9, Iss 10, Pp 11608-11614 (2024)
Externí odkaz:
https://doaj.org/article/74c56abe02dd419dad7e8087a39816a4
Autor:
Gomes, Gabriela Purri R., Rubin, Sydney, Duker, Leah I. Stein, Benton, Donna, Kratky, Andreas, Chen, Sze Yu A, Jordan-Marsh, Maryalice, Gotsis, Marientina
Publikováno v:
2020. In Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 20). Association for Computing Machinery, New York, NY, USA, Article 24, 1 to 9
Healing Spaces proposes a new approach to multisensory interventions that show potential in ameliorating the behavioral and psychological symptoms of advanced dementia in older adults. Using smart technology, the project combines both digital and phy
Externí odkaz:
http://arxiv.org/abs/2007.02083
Autor:
Kati, V., Kassara, C., Panagos, P., Tampouratzi, L., Gotsis, D., Tzortzakaki, O., Petridou, M., Psaralexi, M., Sidiropoulos, L., Vasilakis, D., Zakkak, S., Galani, A., Mpoukas, N.
Publikováno v:
In Journal of Environmental Management 15 December 2023 348
Autor:
Gotsis, Efstathia Stephanie, van Boxtel, Jeroen J.A., Teufel, Christoph, Edwards, Mark, Christensen, Bruce K.
Publikováno v:
In Neuropsychologia 15 December 2023 191
Autor:
Kati, Vassiliki, Petridou, Maria, Tzortzakaki, Olga, Papantoniou, Eustratios, Galani, Antonia, Psaralexi, Maria, Gotsis, Dimitris, Papaioannou, Haritakis, Kassara, Christina
Publikováno v:
In Biological Conservation May 2023 281
Akademický článek
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