Optimizing MRI sequence classification performance: insights from domain shift analysis.
| Publicado en: | European Radiology Vol. 35; no. 11; pp. 6710 - 6719 |
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| Autores principales: | , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188901894&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188901894 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Nov2025 vid: 35 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 188901894 185412727 10.1007/s00330-025-11671-5 188901894 ppf: 6710 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Optimizing MRI sequence classification performance: insights from domain shift analysis. aug: au: Mahmutoglu, Mustafa Ahmed Rastogi, Aditya Brugnara, Gianluca Vollmuth, Philipp Foltyn-Dumitru, Martha Sahm, Felix Pfister, Stefan Sturm, Dominik Bendszus, Martin Schell, Marianne affil: https://ror.org/013czdx64 Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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