CFD-based Synthetic Data Generation for Machine Learning based Pressure Drop Assessment in Aortic Stenosis

IF 1.2 4区计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS

Studies in Informatics and Control Pub Date : 2023-12-18 DOI:10.24846/v32i4y202305

Teodor Ionut Matei, Andreea Bianca Popescu, C. Nita, C. Ciușdel, L. Itu

引用次数: 0

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基于 CFD 的合成数据生成用于主动脉瓣狭窄中基于机器学习的压降评估

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Studies in Informatics and Control AUTOMATION & CONTROL SYSTEMS-OPERATIONS RESEARCH & MANAGEMENT SCIENCE

CiteScore

2.70

自引率

25.00%

发文量

审稿时长

>12 weeks

期刊介绍： Studies in Informatics and Control journal provides important perspectives on topics relevant to Information Technology, with an emphasis on useful applications in the most important areas of IT. This journal is aimed at advanced practitioners and researchers in the field of IT and welcomes original contributions from scholars and professionals worldwide. SIC is published both in print and online by the National Institute for R&D in Informatics, ICI Bucharest. Abstracts, full text and graphics of all articles in the online version of SIC are identical to the print version of the Journal.