Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/453922
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DC FieldValueLanguage
dc.coverage.spatialComputational and Data Sciences 
dc.date.accessioned2023-01-29T16:47:40Z-
dc.date.available2023-01-29T16:47:40Z-
dc.identifier.urihttp://hdl.handle.net/10603/453922-
dc.description.abstractAvailable newline newline
dc.format.extentxliii, 185 p.
dc.languageEnglish
dc.relationNA
dc.rightsuniversity
dc.titleDevelopment of novel deep learning methods for fast mri anatomical image reconstruction to quantitative imaging
dc.title.alternativeNa
dc.creator.researcherRastogi, Aditya
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideYalavarthy, Phaneendra K
dc.publisher.placeBangalore
dc.publisher.universityIndian Institute of Science Bangalore
dc.publisher.institutionComputational and Data Sciences
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions30 cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computational and Data Sciences



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