Assessing the Severity and Prognosis in PAH Using Magnetic Resonance Imaging and NT-proBNP

Alandejani, Faisal Abdulwahab A (2022) Assessing the Severity and Prognosis in PAH Using Magnetic Resonance Imaging and NT-proBNP. PhD thesis, University of Sheffield.

Abstract

Metadata

Supervisors: Swift, Andy J and Kiely, David G
Related URLs:
Keywords: Pulmonary arterial hypertension; Right atrial area; Right ventricular; Cardiac MRI; NT-proBNP; Clinical testing; Repeatability assessment; Mortality prediction; Risk stratification; European Society of Cardiology and European Respiratory Society guidelines; Convolutional neural networks; Artificial intelligence; Deep learning training
Awarding institution: University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Medicine (Sheffield)
Identification Number/EthosID: uk.bl.ethos.883452
Depositing User: Dr Faisal Abdulwahab A Alandejani
Date Deposited: 30 May 2023 08:27
Last Modified: 01 Jul 2023 09:53

Download

Final eThesis - complete (pdf)

Filename: PhD thesis ALANDEJANI Faisal.pdf

Description: Final Thesis ALANDEJANI Faisal

Licence: Creative Commons Licence
This work is licensed under a Creative Commons Attribution NonCommercial NoDerivatives 4.0 International License

Export

Statistics


You do not need to contact us to get a copy of this thesis. Please use the 'Download' link(s) above to get a copy.
You can contact us about this thesis. If you need to make a general enquiry, please see the Contact us page.