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eNauka >  Results >  Combining Computational Fluid Dynamics, Structural Analysis, and Machine Learning to Predict Cerebrovascular Events: A Mild ML Approach
Title: Combining Computational Fluid Dynamics, Structural Analysis, and Machine Learning to Predict Cerebrovascular Events: A Mild ML Approach
Authors: Siogkas, Panagiotis K.; Pleouras, Dimitrios S.; Pezoulas, Vasileios; Kigka, Vassiliki; Tsakanikas, Vassilis; Fotiou, Evangelos; Potsika, Vassiliki T.; Charalampopoulos, George; Galyfos, George; Sigala, Fragkiska;
Končar, Igor  ; Fotiadis, Dimitrios I.;
Issue Date: 2024
Publication: Diagnostics
ISSN: 2075-4418 Diagnostics Search Idenfier
Publisher: Basel, Switzerland : MDPI AG
Type: Article
Collation: vol. 14 br. 19 str. 2204
DOI: 10.3390/diagnostics14192204
WoS-ID: 001331731600001
Scopus-ID: 2-s2.0-85206576336
PMID: 39410608
PMCID: PMC11476427
URI: https://enauka.gov.rs/handle/123456789/942882
URL: https://www.mdpi.com/2075-4418/14/19/2204
Project: the European Union's Horizon 2020 research and innovation program [755320]
European Union
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
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