Unveiling the Temporal Patterns of a 4D CTP Stroke Lesion Outcome Prediction Model Through Attention Analysis-Reference-Cited by-同舟云学术

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Unveiling the Temporal Patterns of a 4D CTP Stroke Lesion Outcome Prediction Model Through Attention Analysis

Published:2024-05-27 Issue: Volume:18 Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Amador Kimberly¹,Winder Anthony²,Pinel Noah²,Fiehler Jens³,Wilms Matthias⁴,Forkert Nils D.²

Affiliation:

1. University of Calgary,Biomedical Engineering Graduate Program,Calgary,Canada

2. University of Calgary,Department of Radiology,Calgary,Canada

3. University Medical Center Hamburg-Eppendorf,Department of Diagnostic and Interventional Neuroradiology,Hamburg,Germany

4. University of Calgary,Hotchkiss Brain Institute,Calgary,Canada

Funder

Canada Research Chairs

Calgary Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635756.pdf?arnumber=10635756

Reference20 articles.

1. Acute ischemic stroke

2. Diffusion- and Perfusion-Weighted MRI

3. Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring

4. CT-perfusion stroke imaging: a threshold free probabilistic approach to predict infarct volume compared to traditional ischemic thresholds

5. Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning

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