Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI With Parametric Maps Using Deep Learning-Reference-Cited by-同舟云学术

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Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI With Parametric Maps Using Deep Learning

Published:2021 Issue: Volume:9 Page:26260-26270
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Pinto Adriano^ORCID,Amorim Joana^ORCID,Hakim Arsany^ORCID,Alves Victor^ORCID,Reyes Mauricio^ORCID,Silva Carlos A.^ORCID

Funder

FCT National Funds through the National Support to Research and Development Units Grant

scholarship from the Fundação para a Ciência e Tecnologia (FCT), Portugal

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09350648.pdf?arnumber=9350648

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Early-stage stroke prediction based on Parkinson and wrinkles using deep learning;Neural Computing and Applications;2024-07-31

2. A deep learning approach to predict collateral flow in stroke patients using radiomic features from perfusion images;Frontiers in Neurology;2023-02-21

3. Radiomics features of DSC-PWI in time dimension may provide a new chance to identify ischemic stroke;Frontiers in Neurology;2022-11-04

4. Prediction of Delayed Trauma Following an Ischemic Stroke Using Comparative Machine Learning Study;2022 International Conference on Inventive Computation Technologies (ICICT);2022-07-20

5. Performance of Machine Learning for Tissue Outcome Prediction in Acute Ischemic Stroke: A Systematic Review and Meta-Analysis;Frontiers in Neurology;2022-07-08

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