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University of Illinois at Urbana-Champaign

Deep learning-enabled objective image quality assessment in medical imaging

Abstract

dc:description

Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Bioengineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Li, Kaiyan
Contributors dc:contributor
  • Li, Hua
  • Anastasio, Mark
  • Insana, Michael
  • Lam, Fan

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • Copyright 2024 Kaiyan Li
Language dc:language
en, eng

Identifiers

dc:identifier.*
Handle dc:identifier
https://hdl.handle.net/2142/127133
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/127133

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Li, Kaiyan. Deep learning-enabled objective image quality assessment in medical imaging. Dissertation thesis, University of Illinois at Urbana-Champaign, 2024. https://hdl.handle.net/2142/127133