A Regression Method Based on Noninvasive Clinical Data to Predict the Mechanical Behavior of Ascending Aorta Aneurysmal Tissue-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Regression Method Based on Noninvasive Clinical Data to Predict the Mechanical Behavior of Ascending Aorta Aneurysmal Tissue

Published:2017-11 Issue:11 Volume:64 Page:2607-2617
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Auricchio Ferdinando,Ferrara Anna,Lanzarone Ettore^ORCID,Morganti Simone,Totaro Pasquale

Funder

Cariplo and Regione Lombardia under Project ICardioCloud

CNR and MIUR organizations

Flagship Project Factory of the Future-Fab@Hospital

ERC

Starting Grant Project Isogeometric Methods for Biomechanics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/8071071/07801847.pdf?arnumber=7801847

Cited by 7 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. Aortic wall thickness in dilated ascending aorta: Comparison between tricuspid and bicuspid aortic valve;Archives of Cardiovascular Diseases;2023-11

2. Highly Accurate Grey Neural Network Classifier for an Abdominal Aortic Aneurysm Classification Based on Image Processing Approach;The International Arab Journal of Information Technology;2023

3. A patient-specific image-based approach to estimate pulmonary artery stiffness based on vessel constitutive model;Medical Engineering & Physics;2022-09

4. Correlation between micro and macrostructural biaxial behavior of ascending thoracic aneurysm: a novel experimental technique;Medical Engineering & Physics;2020-12

5. Patient-specific computer simulation for transcatheter cardiac interventions: what a clinician needs to know;Heart;2019-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3