Manifold Learning, Topological Data Analysis, and Their Applications to Medical Imaging

Meng, Kun

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Manifold Learning, Topological Data Analysis, and Their Applications to Medical Imaging

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Year:: 2022
Contributor:: Meng, Kun (creator); Eloyan, Ani (Advisor); Gatsonis, Constantine (Reader); Harrison, Matthew (Reader); Crawford, Lorin (Reader); Brown University. Department of Biostatistics (sponsor)
Genre:: theses
Subject:: Applied mathematics; Biostatistics
Extent:: , None p.

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Abstract:: This dissertation aims to develop several statistical methods for learning the manifold and topology structures of data, provide the corresponding theoretical foundations, and apply the proposed methods to medical imaging. Specifically, this dissertation is concerned with manifold learning, brain networks, and topological data analysis.
Notes:: Thesis (Ph. D.)--Brown University, 2022

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Meng, Kun, "Manifold Learning, Topological Data Analysis, and Their Applications to Medical Imaging" (2022). Biostatistics Theses and Dissertations. Brown Digital Repository. Brown University Library. https://repository.library.brown.edu/studio/item/bdr:xwpk2gbc/

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Biostatistics Theses and Dissertations

Theses and Dissertations for the Biostatistics department.
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Manifold Learning, Topological Data Analysis, and Their Applications to Medical Imaging

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Biostatistics Theses and Dissertations

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