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Improving oxygenation quantification from streamlined qBOLD data using amortized variational inference

Author:Ivor Simpson Ashley McManamon Alan Stone Nicholas Blockley Alessandro Colasanti Mara Cercignani

Session Type:Oral

Session Date:Wednesday, 11 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Deep/Machine Learning-Based Quantitative Imaging & Modeling

Program Number:0434

Room Session:N11 (Breakout A)

Institution:Brighton and Sussex Medical School Cardiff University St. Vincent's University Hospital University of Nottingham University of Sussex

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