Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/45319
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dc.contributor.authorGreco, F-
dc.contributor.authorSalgado, R-
dc.contributor.authorVan Hecke, W-
dc.contributor.authorDel Buono, R-
dc.contributor.authorParizel, PM-
dc.contributor.authorMallio, CA-
dc.date.accessioned2025-02-17T15:37:57Z-
dc.date.available2025-02-17T15:37:57Z-
dc.date.issued2022-
dc.date.submitted2025-02-17T15:37:04Z-
dc.identifier.citationQuantitative Imaging in Medicine and Surgery, 12 (3) , p. 2075 -2089-
dc.identifier.urihttp://hdl.handle.net/1942/45319-
dc.language.isoen-
dc.publisher-
dc.subject.otherObesity-
dc.subject.otherartificial intelligence (AI)-
dc.subject.otheradipose tissue-
dc.subject.othercardiac computed tomography (cardiac CT)-
dc.subject.othermetabolic syndrome (MetS)-
dc.titleEpicardial and pericardial fat analysis on CT images and artificial intelligence: a literature review-
dc.typeJournal Contribution-
dc.identifier.epage2089-
dc.identifier.issue3-
dc.identifier.spage2075-
dc.identifier.volume12-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedReview-
local.classdsPublValOverrule/internal_author_not_expected-
dc.identifier.doi10.21037/qims-21-945-
dc.identifier.isi000734091400001-
local.provider.typeWeb of Science-
local.uhasselt.internationalyes-
item.contributorGreco, F-
item.contributorSalgado, R-
item.contributorVan Hecke, W-
item.contributorDel Buono, R-
item.contributorParizel, PM-
item.contributorMallio, CA-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
item.fullcitationGreco, F; Salgado, R; Van Hecke, W; Del Buono, R; Parizel, PM & Mallio, CA (2022) Epicardial and pericardial fat analysis on CT images and artificial intelligence: a literature review. In: Quantitative Imaging in Medicine and Surgery, 12 (3) , p. 2075 -2089.-
crisitem.journal.issn2223-4292-
crisitem.journal.eissn2223-4306-
Appears in Collections:Research publications
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