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Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy


Benetos, Georgios. Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy. 2020, University of Zurich, Faculty of Medicine.

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Item Type:Dissertation (cumulative)
Referees:Gebhard Catherine, Kaufmann Philipp A
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Nuclear Medicine
UZH Dissertations
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:3 December 2020
Deposited On:20 Jan 2021 10:46
Last Modified:21 Jan 2021 04:30
OA Status:Closed
Related URLs:https://www.zora.uzh.ch/id/eprint/189301/

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