Title
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data
Abstract
Automatic quantification of the left ventricle (LV) from cardiac magnetic resonance (CMR) images plays an important role in making the diagnosis procedure efficient, reliable, and alleviating the laborious reading work for physicians. Considerable efforts have been devoted to LV quantification using different strategies that include segmentation-based (SG) methods and the recent direct regression ...
Year
DOI
Venue
2021
10.1109/JBHI.2021.3064353
IEEE Journal of Biomedical and Health Informatics
Keywords
DocType
Volume
Myocardium,Image segmentation,Task analysis,Strain,Reliability,Pathology,Medical diagnostic imaging
Journal
25
Issue
ISSN
Citations 
9
2168-2194
1
PageRank 
References 
Authors
0.35
0
25
Name
Order
Citations
PageRank
Wufeng Xue135018.80
Jiahui Li26619.69
Zhiqiang Hu3533.00
Eric Kerfoot492.97
James R. Clough5175.79
Ilkay Öksüz6549.32
Xu Hao73117.96
V. Grau8205.21
Fumin Guo933.09
Matthew Ng10103.59
Xiang Li1112615.50
Quanzheng Li1218132.36
Lihong Liu1310.35
Jin Ma1410.35
Elias Grinias15432.09
Georgios Tziritas1690246.34
Wenjun Yan17288.43
Angelica Maria Atehortua Labrador1810.35
Mireille Garreau199216.17
Yeonggul Jang2010.35
Alejandro Debus2110.35
Enzo Ferrante2217413.61
Guanyu Yang232713.48
Tiancong Hua2410.35
Shuo Li2510927.59