A Deep Bayesian Video Analysis Framework: Towards a More Robust Estimation of Ejection Fraction-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Deep Bayesian Video Analysis Framework: Towards a More Robust Estimation of Ejection Fraction

Published:2020 Issue: Volume: Page:582-590
ISSN:0302-9743
Container-title:Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
language:
Short-container-title:

Author:

Kazemi Esfeh Mohammad Mahdi,Luong Christina,Behnami Delaram,Tsang Teresa,Abolmaesumi Purang

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-59713-9_56

Reference27 articles.

1. Class 2 device recall Vscan Extend. https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfRes/res.cfm?id=173162. Accessed 16 Mar 2020

2. Everything you need to know about ejection fraction. https://www.healthline.com/health/ejection-fraction#measurement. Accessed 16 Mar 2020

3. Lecture Notes in Computer Science;D Behnami,2018

4. Lecture Notes in Computer Science;D Behnami,2019

5. Gal, Y.: Uncertainty in deep learning. Ph.D. thesis, PhD thesis, University of Cambridge (2016)

Cited by 12 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. Validation of machine learning models for estimation of left ventricular ejection fraction on point-of-care ultrasound: insights on features that impact performance;Echo Research & Practice;2024-03-28

2. A deep multi-stream model for robust prediction of left ventricular ejection fraction in 2D echocardiography;Scientific Reports;2024-01-24

3. A New Hope for Deep Learning–Based Echocardiogram Interpretation;Journal of the American College of Cardiology;2023-11

4. GEMTrans: A General, Echocardiography-Based, Multi-level Transformer Framework for Cardiovascular Diagnosis;Machine Learning in Medical Imaging;2023-10-15

5. A light-weight deep video network: towards robust assessment of ejection fraction on mobile devices;Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling;2022-04-04

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