Revisiting CT perfusion for acute ischemic stroke with deep learning

L. de Vries

Revisiting CT perfusion for acute ischemic stroke with deep learning

L. de Vries

Research output: PhD Thesis › Phd-Thesis - Research and graduation internal

Abstract

This thesis explores the intersection of medical imaging, artificial intelligence, and physics. Specifically, the thesis presents deep learning methods developed to improve CT perfusion imaging analysis for patients with acute ischemic stroke.
The research introduces a method that eliminates the need for traditional

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Universiteit van Amsterdam
Supervisors/Advisors	Marquering, Henk, Supervisor Gavves, Efstratios, Supervisor, External person Emmer, Bart, Co-supervisor Majoie, Charles, Co-supervisor
Award date	1 Oct 2025
Print ISBNs	9789464964479
Publication status	Published - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

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M3 - Phd-Thesis - Research and graduation internal

SN - 9789464964479

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Revisiting CT perfusion for acute ischemic stroke with deep learning

Abstract

UN SDGs

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