Fully automatic segmentation of post-infarction fibrosis in post-contrast magnetic resonance images of heart : preliminary study-Reference-Cited by-同舟云学术

Fully automatic segmentation of post-infarction fibrosis in post-contrast magnetic resonance images of heart : preliminary study

Published:2022-11-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)
language:
Short-container-title:

Author:

Levchuk Anatoliy G.¹,Bendahan David²,Ryzhkov Anton V.³,Fokin Vladimir A.³,Vladimirov Nikita¹,Matveev Igor Yu.¹,Yu. Efimtsev Alexander³,Brui Ekaterina A.¹

Affiliation:

1. ITMO University,Saint-Petrsburg,Russian Federation

2. Aix-Marseille Universite,Marseille,France

3. Almazov National Medical Research Centre,Saint-Petrsburg,Russian Federation

Funder

Ministry of Education and Science of the Russian Federation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10016894/10016776/10017080.pdf?arnumber=10017080

Reference11 articles.

1. Fully automated segmentation of left ventricular scar from 3D late gadolinium enhancement magnetic resonance imaging using a cascaded multi‐planar U‐Net (CMPU‐Net)

2. Direct revascularization of the myocardium in patients with coronary heart disease complicated by a marked decrease in the contractility of the left ventricular myocardium, Dissertation for the degree of Candidate of Medical Sciences;kryukov;Almazov National Medical Research Centre Saint-Petersburg,2021

3. Measures of the Amount of Ecologic Association Between Species

4. Myocardial scar segmenta- tion from magnetic resonance images using convolutional neural network;zabihollahy;Proceedings Volume 10575 Medical Imaging 2018 Computer-aided diagnosis,0

5. A method of establishing groups of equal amplitude in plant sociology based on similarity of species and its application to analyses of the vegetation on Danish commons;sørensen;Kongelige Danske Videnskabernes Selskab,1948