A deep learning‐based model for prediction of hemorrhagic transformation after stroke-Reference-Cited by-同舟云学术

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A deep learning‐based model for prediction of hemorrhagic transformation after stroke

Published:2021-10-04 Issue: Volume: Page:
ISSN:1015-6305
Container-title:Brain Pathology
language:en
Short-container-title:Brain Pathology

Author:

Jiang Liang¹,Zhou Leilei¹,Yong Wei¹,Cui Jinluan¹,Geng Wen¹,Chen Huiyou¹,Zou Jianjun²,Chen Yang³,Yin Xindao¹,Chen Yu‐Chen¹^ORCID

Affiliation:

1. Department of Radiology Nanjing First Hospital, Nanjing Medical University Nanjing China

2. Department of Clinical Pharmacology Nanjing First Hospital, Nanjing Medical University Nanjing China

3. Laboratory of Image Science and Technology, School of Computer Science and Engineering Southeast University Nanjing China

Funder

Natural Science Foundation of Jiangsu Province

Publisher

Wiley

Subject

Neurology (clinical),Pathology and Forensic Medicine,General Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/bpa.13023

Reference31 articles.

1. Prevention of stroke: a global perspective

2. A Randomized Trial of Intraarterial Treatment for Acute Ischemic Stroke

3. Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials

4. Acute Stroke With Large Ischemic Core Treated by Thrombectomy

5. Triage of 5 Noncontrast Computed Tomography Markers and Spot Sign for Outcome Prediction After Intracerebral Hemorrhage

Cited by 22 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. Constructing machine learning models based on non-contrast CT radiomics to predict hemorrhagic transformation after stoke: a two-center study;Frontiers in Neurology;2024-09-02

2. M3: using mask-attention and multi-scale for multi-modal brain MRI classification;Frontiers in Neuroinformatics;2024-07-29

3. Artificial intelligence/machine learning for neuroimaging to predict hemorrhagic transformation: Systematic review/meta‐analysis;Journal of Neuroimaging;2024-07-21

4. Artificial intelligence in ischemic stroke images: current applications and future directions;Frontiers in Neurology;2024-07-10

5. Deep learning models for ischemic stroke lesion segmentation in medical images: A survey;Computers in Biology and Medicine;2024-06

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