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Advancing Statistical Inference for Population Studies in Neuroimaging Using Machine Learning

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자료유형	E-Book
개인저자	Varol, Erdem.
단체저자명	University of Pennsylvania. Electrical and Systems Engineering.
서명/저자사항	Advancing Statistical Inference for Population Studies in Neuroimaging Using Machine Learning.
발행사항	[S.l.] : University of Pennsylvania., 2018
발행사항	Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항	209 p.
소장본 주기	School code: 0175.
ISBN	9780438423541
일반주기	Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. Adviser: Christos Davatzikos.
요약	Modern neuroimaging techniques allow us to investigate the brain in vivo and in high resolution, providing us with high dimensional information regarding the structure and the function of the brain in health and disease. Statistical analysis tec
요약	A prevalent area of research in neuroimaging is group comparison, i.e., the comparison of the imaging data of two groups (e.g. patients vs. healthy controls or people who respond to treatment vs. people who don't) to identify discriminative imag
요약	However, existing statistical methods are limited by their reliance on ad-hoc assumptions regarding the homogeneity of disease effect, spatial properties of the underlying signal and the covariate structure of data, which imposes certain constra
요약	The goal of this thesis is to address each of the aforementioned assumptions and limitations by introducing robust mathematical formulations, which are founded on multivariate machine learning techniques that integrate discriminative and generat
요약	Specifically, 1. First, we introduce an algorithm termed HYDRA which stands for heterogeneity through discriminative analysis . This method parses the heterogeneity in neuroimaging studies by simultaneously performing clustering and classificat
요약	We extensively validated the performance of the developed frameworks in the presence of diverse types of simulated scenarios. Furthermore, we applied our methods on a large number of clinical datasets that included structural and functional neur
일반주제명	Electrical engineering. Neurosciences. Statistics.
언어	영어
기본자료 저록	Dissertation Abstracts International80-01B(E). Dissertation Abstract International
대출바로가기	http://www.riss.kr/pdu/ddodLink.do?id=T14997944