@inproceedings{e91b6f3613084c69aeddfd5bd30f1ccd,
title = "Infarct segmentation challenge on delayed enhancement MRI of the left ventricle",
abstract = "This paper presents collated results from the Delayed Enhancement MRI (DE-MRI) segmentation challenge at MICCAI 2012. DE-MRI Images from fifteen patients and fifteen pigs were randomly selected from two different imaging centres. Three independent sets of manual segmentations were obtained for each image and included in this study. A ground truth consensus segmentation based on all human rater segmentations was obtained using an Expectation-Maximization (EM) method (the STAPLE method). Automated segmentations from five groups contributed to this challenge.",
author = "Rashed Karim and Piet Claus and Zhong Chen and Housden, {R. James} and Samantha Obom and Harminder Gill and YingLiang Ma and Prince Acheampong and Mark O'Neill and Reza Razavi and Tobias Schaeffter and Rhode, {Kawal S.}",
year = "2013",
doi = "10.1007/978-3-642-36961-2_12",
language = "English",
isbn = "978-3-642-36960-5",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "97–104",
editor = "Oscar Camara and Tommaso Mansi and Mihaela Pop and Kawal Rhode and Maxime Sermesant and Alistair Young",
booktitle = "Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges",
address = "Germany",
}