Machine Learning Models for Brain Arteriovenous Malformations Presenting with Hemorrhage Based on Clinical and Angioarchitectural Characteristics-Reference-Cited by-同舟云学术

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Machine Learning Models for Brain Arteriovenous Malformations Presenting with Hemorrhage Based on Clinical and Angioarchitectural Characteristics

Published:2023-09 Issue: Volume: Page:
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Tao Wengui,Li Shifu^ORCID,Zeng Chudai,Chen Zhou,Huang Zheng,Chen Fenghua

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference30 articles.

1. Brain arteriovenous malformations;Lawton;Nat Rev Dis Primers,2015

2. Treatment of brain arteriovenous malformations: a systematic review and meta-analysis;van Beijnum;Jama,2011

3. Machine learning in medicine;Deo;Circulation,2015

4. Detection of intracranial aneurysms using multiphase ct angiography with a deep learning model;Wang;Acad Radiol,2023

5. R(2)eD AVM Score;Feghali;Stroke,2019

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1. Predicting Intracranial Aneurysm Rupture: A Multifactor Analysis Combining Radscore, Morphology, and PHASES Parameters;Academic Radiology;2024-08

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