Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sebastian G. Popescu"'
Publikováno v:
Frontiers in Aging Neuroscience, Vol 13 (2021)
We propose a new framework for estimating neuroimaging-derived “brain-age” at a local level within the brain, using deep learning. The local approach, contrary to existing global methods, provides spatial information on anatomical patterns of bra
Externí odkaz:
https://doaj.org/article/ffeb40b5ee9c4a428fd6a6270a23febe
Autor:
Nicole Sanford, Ruiyang Ge, Mathilde Antoniades, Amirhossein Modabbernia, Shalaila S. Haas, Heather C. Whalley, Liisa Galea, Sebastian G. Popescu, James H. Cole, Sophia Frangou
Publikováno v:
Sanford, N, Ge, R, Antoniades, M, Modabbernia, A, Haas, S S, Whalley, H C, Galea, L, Popescu, S G, Cole, J H & Frangou, S 2022, ' Sex differences in predictors and regional patterns of brain age gap estimates ', Human Brain Mapping . https://doi.org/10.1002/hbm.25983
BackgroundThe brain-age-gap estimate (brainAGE) quantifies the difference between chronological age and age predicted by applying machine-learning models to neuroimaging data, and is considered a biomarker of brain health. Understanding sex-differenc
Nonlinear biomarker interactions in conversion from mild cognitive impairment to Alzheimer's disease
Autor:
Paul M. Matthews, James H. Cole, Alex Whittington, Ben Glocker, David J. Sharp, Sebastian G. Popescu, Roger N. Gunn
Publikováno v:
Human Brain Mapping
Multiple biomarkers can capture different facets of Alzheimer's disease. However, statistical models of biomarkers to predict outcomes in Alzheimer's rarely model nonlinear interactions between these measures. Here, we used Gaussian Processes to addr
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030781903
IPMI
IPMI
We propose a parameter efficient Bayesian layer for hierarchical convolutional Gaussian Processes that incorporates Gaussian Processes operating in Wasserstein-2 space to reliably propagate uncertainty. This directly replaces convolving Gaussian Proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::daa9eb3caf6e6ad265cfe94a24d2a07c
https://doi.org/10.1007/978-3-030-78191-0_32
https://doi.org/10.1007/978-3-030-78191-0_32
Publikováno v:
2019 Conference on Cognitive Computational Neuroscience.