Feasibility of a Clinical-Radiomics Model to Predict the Outcomes of Acute Ischemic Stroke-Reference-Cited by-同舟云学术

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Feasibility of a Clinical-Radiomics Model to Predict the Outcomes of Acute Ischemic Stroke

Published:2022 Issue:8 Volume:23 Page:811
ISSN:1229-6929
Container-title:Korean Journal of Radiology
language:en
Short-container-title:Korean J Radiol

Author:

Zhou Yiran¹^ORCID,Wu Di¹^ORCID,Yan Su¹^ORCID,Xie Yan¹^ORCID,Zhang Shun¹^ORCID,Lv Wenzhi²^ORCID,Qin Yuanyuan¹^ORCID,Liu Yufei¹^ORCID,Liu Chengxia¹^ORCID,Lu Jun¹^ORCID,Li Jia¹^ORCID,Zhu Hongquan¹^ORCID,Liu Weiyin Vivian³^ORCID,Liu Huan⁴^ORCID,Zhang Guiling¹^ORCID,Zhu Wenzhen¹^ORCID

Affiliation:

1. Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

2. Department of Artificial Intelligence, Julei Technology, Wuhan, China.

3. MR Research, GE Healthcare, Beijing, China.

4. Advanced Application Team, GE Healthcare, Shanghai, China.

Funder

National Natural Science Foundation of China

Publisher

The Korean Society of Radiology

Subject

Radiology, Nuclear Medicine and imaging

Link

https://kjronline.org/pdf/10.3348/kjr.2022.0160

Reference35 articles.

2. Axonal remodeling of the corticospinal tract during neurological recovery after stroke

3. 2018 Guidelines for the Early Management of Patients With Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association

4. Ischaemic stroke

5. MR DWI does not substitute for stroke severity scores in predicting stroke outcome

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1. Non-contrast CT radiomics-clinical machine learning model for futile recanalization after endovascular treatment in anterior circulation acute ischemic stroke;BMC Medical Imaging;2024-07-19

2. Radiomics-based functional outcome prediction in acute single subcortical infarction;2024-07-09

3. Machine learning-based nomogram: integrating MRI radiomics and clinical indicators for prognostic assessment in acute ischemic stroke;Frontiers in Neurology;2024-06-12

4. Ischemic stroke outcome prediction with diversity features from whole brain tissue using deep learning network;Frontiers in Neurology;2024-05-03

5. A comprehensive review for artificial intelligence on neuroimaging in rehabilitation of ischemic stroke;Frontiers in Neurology;2024-03-28

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