Developing a Predictive Model for Ischemic Stroke Onset Time Using Transfer Learning

The 3D ResNet-18 model shows promise in identifying AIS within 4.5 h, including partial DWI-FLAIR mismatch, but requires multicenter validation before use.

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Publication Details

Journal
European Neurology
Published
2025-12-09
DOI
https://doi.org/10.1159/000549892
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Developing a Predictive Model for Ischemic Stroke Onset Time Using Transfer Learning

Shuai Wang, Weidong Wang, Xiang Chen, Lili Zhang et al.
European Neurology
Acute Ischemic Stroke Management
article

Developing a Predictive Model for Ischemic Stroke Onset Time Using Transfer Learning

Shuai Wang, Weidong Wang, Xiang Chen, Lili Zhang, Jie Li, Xin Ding, Wenming Zhang, Yuan Li, Yang Du
article en

Abstract

The 3D ResNet-18 model shows promise in identifying AIS within 4.5 h, including partial DWI-FLAIR mismatch, but requires multicenter validation before use.

European Neurology
Chengdu Medical College (CN), Sichuan University (CN), West China Second University Hospital of Sichuan University (CN), Chengdu Military General Hospital (CN), First Affiliated Hospital of Chengdu Medical College (CN)
Openalex Percentile: Top 49%
Acute Ischemic Stroke Management
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Developing a Predictive Model for Ischemic Stroke Onset Time Using Transfer Learning — Shuai Wang, Weidong Wang, et al. · European Neurology (2025) | TGRS Research Map | TGRS