Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging / Williams, Mc; Bednarski, Bp; Pieszko, K; Miller, Rjh; Kwiecinski, J; Shanbhag, A; Liang, Jx; Huang, C; Sharir, T; Dorbala, S; Di Carli, Mf; Einstein, Aj; Sinusas, Aj; Miller, Ej; Bateman, Tm; Fish, Mb; Ruddy, Td; Acampa, W; Hauser, Mt; Kaufmann, Pa; Dey, D; Berman, Ds; Slomka, Pj.. - In: EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. - ISSN 1619-7070. - (2023). [10.1007/s00259-023-06218-z]

Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging.

Acampa W;
2023

2023
Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging / Williams, Mc; Bednarski, Bp; Pieszko, K; Miller, Rjh; Kwiecinski, J; Shanbhag, A; Liang, Jx; Huang, C; Sharir, T; Dorbala, S; Di Carli, Mf; Einstein, Aj; Sinusas, Aj; Miller, Ej; Bateman, Tm; Fish, Mb; Ruddy, Td; Acampa, W; Hauser, Mt; Kaufmann, Pa; Dey, D; Berman, Ds; Slomka, Pj.. - In: EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. - ISSN 1619-7070. - (2023). [10.1007/s00259-023-06218-z]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/921211
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