Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction-Reference-Cited by-同舟云学术

Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction

Author:

Kim Sekeun¹^ORCID,Jiang Zhenxiang²,Zambrano Byron A.³,Jang Yeonggul¹^ORCID,Baek Seungik²,Yoo Sunkook⁴^ORCID,Chang Hyuk-Jae¹^ORCID

Affiliation:

1. CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, South Korea

2. Department of Mechanical Engineering, Michigan State University, East Lansing, MI, USA

3. J. Mike Walker ’66 Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA

4. Department of Medical Engineering, Yonsei University College of Medicine, Seoul, South Korea

Funder

Korea Medical Device Development Fund funded by the Korean Government (the Ministry of Science and Information and Communications Technologies

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

Reference46 articles.

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