Artificial intelligence to improve ischemia prediction in Rubidium Positron Emission Tomography—a validation study

Frey, Simon M.; Bakula, Adam; Tsirkin, Andrew; Vasilchenko, Vasily; Ruff, Peter; Oehri, Caroline; Amrein, Melissa Fee; Huré, Gabrielle; Rumora, Klara; Schäfer, Ibrahim; Caobelli, Federico; Haaf, Philip; Mueller, Christian E.; Remppis, Bjoern Andrew; Rocca, Hans-Peter Brunner-La; Zellweger, Michael J. (2023). Artificial intelligence to improve ischemia prediction in Rubidium Positron Emission Tomography—a validation study. EPMA journal, 14(4), pp. 631-643. Springer 10.1007/s13167-023-00341-5

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Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Clinic of Nuclear Medicine
04 Faculty of Medicine > Department of Cardiovascular Disorders (DHGE) > Clinic of Cardiology

UniBE Contributor:

Bakula, Adam, Caobelli, Federico

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1878-5085

Publisher:

Springer

Language:

English

Submitter:

Federico Caobelli

Date Deposited:

07 Dec 2023 12:15

Last Modified:

12 Dec 2023 00:17

Publisher DOI:

10.1007/s13167-023-00341-5

BORIS DOI:

10.48350/189897

URI:

https://boris.unibe.ch/id/eprint/189897

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