Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tommaso Boccato"'
Autor:
Gang Li, Nicola Toschi, Viswanath Devanarayan, Richard Batrla, Tommaso Boccato, Min Cho, Matteo Ferrante, Feride Frech, James E. Galvin, David Henley, Soeren Mattke, Susan De Santi, Harald Hampel
Publikováno v:
Alzheimer’s Research & Therapy, Vol 15, Iss 1, Pp 1-11 (2023)
Abstract Background Identifying individuals with mild cognitive impairment (MCI) who are likely to progress to Alzheimer’s disease and related dementia disorders (ADRD) would facilitate the development of individualized prevention plans. We investi
Externí odkaz:
https://doaj.org/article/2a894fcef61e4e38b26922df4223c0da
Publikováno v:
Frontiers in Neuroinformatics, Vol 18 (2024)
BackgroundThe willingness to trust predictions formulated by automatic algorithms is key in a wide range of domains. However, a vast number of deep architectures are only able to formulate predictions without associated uncertainty.PurposeIn this stu
Externí odkaz:
https://doaj.org/article/6cffc3af4f654d2e926729eaf32e03a6
Publikováno v:
Entropy, Vol 23, Iss 7, p 857 (2021)
One of the most rapidly advancing areas of deep learning research aims at creating models that learn to disentangle the latent factors of variation from a data distribution. However, modeling joint probability mass functions is usually prohibitive, w
Externí odkaz:
https://doaj.org/article/7d249a45068a4003bbd925ba6b371320
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
Positron emission tomography (PET) can reveal metabolic activity in a voxelwise manner. PET analysis is commonly performed in a static manner by analyzing the standardized uptake value (SUV) obtained from the plateau region of PET acquisitions. A dyn
One of the most rapidly advancing areas of deep learning research aims at creating models that learn to disentangle the latent factors of variation from a data distribution. However, modeling joint probability mass functions is usually prohibitive, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c82081f9937a92bd3235d9a1473c04a
https://doi.org/10.20944/preprints202105.0401.v1
https://doi.org/10.20944/preprints202105.0401.v1