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Deep learning enables robust quantification of cerebral blood flow using ASL in the presence of pathology: Application to treated gliomas

Author:Zhuoqin Yang  James Ruffle  H Rolf Jäger  Parashkev Nachev  Harpreet Hyare  Magdalena Sokolska  Hui Zhang  

Session Type:Power Pitch  

Session Date:Monday, 06 May 2024  

Session Name:Pitch: Neuro-Oncology  

Program Number:0375  

Room Session:Power Pitch Theatre 3  

Institution:University College London  University College London Hospitals  

Enhanced motion artifact simulator for structural MRI with MP-RAGE sequence

Author:Tianqi Wu  Magdalena Sokolska  David Thomas  Matthew Grech-Sollars  Hui Zhang  

Session Type:Power Pitch  

Session Date:Thursday, 09 May 2024  

Session Name:Pitch: AI-Empowered Image Analysis & Processing  

Program Number:1210  

Room Session:Power Pitch Theatre 1  

Institution:University College London Hospitals  University College London  

Quantifying early haemodynamic treatment effects in carotid stenosis using arterial transit artifacts and spatial CoV on ASL-MRI

Author:Zhiyuan Lin  Mary Muthukumarasamy  Suk Cheng  John Gregson  Martin Brown  H Rolf Jäger  Magdalena Sokolska  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:Stroke: AI, Contrast Mechanisms & fMRI  

Program Number:2302  

Room Session:Exhibition Hall (Hall 403)  

Institution:London School of Hygiene and Tropical Medicine  National Hospital for Neurology and Neurosurgery  UCL Queen Square Institute of Neurology  University College London Hospitals