Boosted Tree Model Reforms Multimodal Magnetic Resonance Imaging Infarct Prediction in Acute Stroke-Reference-Cited by-同舟云学术

Boosted Tree Model Reforms Multimodal Magnetic Resonance Imaging Infarct Prediction in Acute Stroke

Published:2018-04 Issue:4 Volume:49 Page:912-918
ISSN:0039-2499
Container-title:Stroke
language:en
Short-container-title:Stroke

Author:

Livne Michelle¹,Boldsen Jens K.¹,Mikkelsen Irene K.¹,Fiebach Jochen B.¹,Sobesky Jan¹,Mouridsen Kim¹

Affiliation:

1. From the Center for Stroke Research Berlin, Charité – Universitätsmedizin Berlin, Germany (M.L., J.B.F., J.S.); and Center of Functionally Integrative Neuroscience, Aarhus University, Denmark (J.K.B., I.K.M., K.M.).

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialised Nursing,Cardiology and Cardiovascular Medicine,Clinical Neurology

Reference33 articles.

1. Revolution in acute ischaemic stroke care: a practical guide to mechanical thrombectomy

2. Acute stroke imaging research roadmap.;Wintermark M;AJNR Am J Neuroradiol,2008

3. Magnetic resonance imaging profiles predict clinical response to early reperfusion: The diffusion and perfusion imaging evaluation for understanding stroke evolution (DEFUSE) study

4. Predicting Final Extent of Ischemic Infarction Using Artificial Neural Network Analysis of Multi-Parametric MRI in Patients with Stroke

Cited by 64 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. Combined influence of nutritional and inflammatory status and breast cancer: findings from the NHANES;BMC Public Health;2024-08-19

2. A Minimalist Iron Oxide Nanoprobe for the High‐Resolution Depiction of Stroke by Susceptibility‐Weighted Imaging;Small;2024-07-04

3. Multi-modal deep learning from imaging genomic data for schizophrenia classification;Frontiers in Psychiatry;2024-06-28

4. Machine learning for the prediction of delirium in elderly intensive care unit patients;European Geriatric Medicine;2024-06-28

5. Contributions of Machine Learning in the Management of Stroke: A Bibliometric Analysis of the 50 Most Cited Articles;World Neurosurgery;2024-04