Paper Info
Title
Right ventricle segmentation from cardiac MRI: a collation study.
Abstract
•Evaluation framework for right ventricle segmentation in short-axis MR images.•The datasets available for training and testing are described, as well as the manual reference.•Evaluation measures include technical and clinical indices.•Results obtained by 7 methods are presented.•The framework is open for new submissions.
Year
DOI
Venue
2015
10.1016/j.media.2014.10.004
Medical Image Analysis
Keywords
Field
DocType
Cardiac MRI,Right ventricle segmentation,Segmentation method evaluation,Segmentation challenge,Collation study
Computer vision,Pattern recognition,Segmentation,Computer science,Hausdorff distance,Ventricle,Artificial intelligence,Dice,Image resolution,Cardiac motion,Tracing,Magnetic resonance imaging
Journal
Volume
Issue
ISSN
19
1
1361-8415
Citations 
PageRank 
References 
38
1.54
30
Authors
29
Name
Order
Citations
PageRank
Caroline Petitjean139028.57
Maria A. Zuluaga227925.84
Wenjia Bai344535.84
Jean-Nicolas Dacher41505.84
Damien Grosgeorge5683.59
Jérôme Caudron6622.47
Ruan Su755953.00
Ismail Ben Ayed867852.28
M Jorge Cardoso9391.89
Hsiang-Chou Chen10653.13
Daniel Jimenez-Carretero1112713.94
María J. Ledesma-carbayo1232933.77
Christos Davatzikos133865335.91
Jimit Doshi14381.54
Guray Erus15381.54
Oskar M O Maier16381.54
Cyrus Nambakhsh17985.10
Yangming Ou1829117.18
Sébastien Ourselin192499237.61
Chun-Wei Peng20381.54
Nicholas S. Peters2111810.60
Terry M. Peters221335181.71
Martin Rajchl2342134.67
Daniel Rueckert249338637.58
A Santos2528126.52
Wenzhe Shi2679239.85
Ching-Wei Wang2717715.80
Haiyan Wang2817910.00
Jing Yuan2937223.02