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pro vyhledávání: '"Miranda, Michelle"'
Autor:
Miranda, Michelle F.
Task-evoked functional magnetic resonance imaging studies, such as the Human Connectome Project (HCP), are a powerful tool for exploring how brain activity is influenced by cognitive tasks like memory retention, decision-making, and language processi
Externí odkaz:
http://arxiv.org/abs/2405.12325
Autor:
Beaulac, Cédric, Wu, Sidi, Gibson, Erin, Miranda, Michelle F., Cao, Jiguo, Rocha, Leno, Beg, Mirza Faisal, Nathoo, Farouk S.
Publikováno v:
BMC Bioinformatics 24, 271 (2023)
A major issue in the association of genes to neuroimaging phenotypes is the high dimension of both genetic data and neuroimaging data. In this article, we tackle the latter problem with an eye toward developing solutions that are relevant for disease
Externí odkaz:
http://arxiv.org/abs/2207.10794
Publikováno v:
In Forensic Science International December 2024 365
In this paper, we introduce a new Bayesian approach for analyzing task fMRI data that simultaneously detects activation signatures and background connectivity. Our modeling involves a new hybrid tensor spatial-temporal basis strategy that enables sca
Externí odkaz:
http://arxiv.org/abs/2109.00160
Publikováno v:
In Technology in Society August 2023 74
Akademický článek
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Autor:
Lee, Wonyul, Miranda, Michelle F., Rausch, Phlip, Baladandayuthapani, Veerbhadran, Fazio, Massimo, Downs, J. Crawford, Morris, Jeffrey S.
Glaucoma, a leading cause of blindness, is characterized by optic nerve damage related to intraocular pressure (IOP), but its full etiology is unknown. Researchers at UAB have devised a custom device to measure scleral strain continuously around the
Externí odkaz:
http://arxiv.org/abs/1802.08727
The aim of this paper is to develop a class of spatial transformation models (STM) to spatially model the varying association between imaging measures in a three-dimensional (3D) volume (or 2D surface) and a set of covariates. Our STMs include a vary
Externí odkaz:
http://arxiv.org/abs/1607.07664