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Unsupervised learning to characterize patients with known c..:

Williams, Michelle C. ; Bednarski, Bryan P. ; Pieszko, Konrad...
European Journal of Nuclear Medicine and Molecular Imaging. 50 (2023) 9 - p. 2656-2668 , 2023

Link: https://doi.org/10.1007/s00259-023-06218-z

RT Journal
T1 <Title>Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging</Title>

UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s00259-023-06218-z&Exemplar=1&LAN=DE
				
A1 Williams, Michelle C.
A1 Bednarski, Bryan P.
A1 Pieszko, Konrad
A1 Miller, Robert J. H.
A1 Kwiecinski, Jacek
A1 Shanbhag, Aakash
A1 Liang, Joanna X.
A1 Huang, Cathleen
A1 Sharir, Tali
A1 Dorbala, Sharmila
A1 Di Carli, Marcelo F.
A1 Einstein, Andrew J.
A1 Sinusas, Albert J.
A1 Miller, Edward J.
A1 Bateman, Timothy M.
A1 Fish, Mathews B.
A1 Ruddy, Terrence D.
A1 Acampa, Wanda
A1 Hauser, M. Timothy
A1 Kaufmann, Philipp A.
A1 Dey, Damini
A1 Berman, Daniel S.
A1 Slomka, Piotr J.
PB Springer Science and Business Media LLC
YR 2023
SN 1619-7070
SN 1619-7089
JF European Journal of Nuclear Medicine and Molecular Imaging
VO 50
IS 9
SP 2656
OP 2668
LK http://dx.doi.org/https://doi.org/10.1007/s00259-023-06218-z
DO https://doi.org/10.1007/s00259-023-06218-z
SF ELIB - SuUB Bremen

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