EXPEDITION: an Exploratory deep learning method to quantitatively predict hematoma progression after intracerebral hemorrhage.

An Exploratory deep learning method, EXPEDITION, was proposed to quantitatively predict hematoma progression after primary ICH in basal ganglia or thalamus.

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Publication Details

Journal
PubMed
Published
2025-07-24
DOI
https://doi.org/10.1080/01616412.2025.2536668
Primary Topic
Intracerebral and Subarachnoid Hemorrhage Research
Type
article
Field-Weighted Citation Impact
0.00
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article

EXPEDITION: an Exploratory deep learning method to quantitatively predict hematoma progression after intracerebral hemorrhage.

Siqi Chen, Donghua Mi, Zixiao Li, Yinsheng Li
PubMed
Intracerebral and Subarachnoid Hemorrhage Research
article

EXPEDITION: an Exploratory deep learning method to quantitatively predict hematoma progression after intracerebral hemorrhage.

Siqi Chen, Donghua Mi, Zixiao Li, Yinsheng Li
article en

Abstract

An Exploratory deep learning method, EXPEDITION, was proposed to quantitatively predict hematoma progression after primary ICH in basal ganglia or thalamus.

PubMed
Capital University (US), Capital Medical University (CN), Chinese Academy of Sciences (CN), Beijing Tian Tan Hospital (CN), Shenzhen Institutes of Advanced Technology (CN)
Openalex Percentile: Top 72%
Intracerebral and Subarachnoid Hemorrhage Research
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