@inproceedings{5d3a12413eb4499782f907494e2bc5b2,
title = "Infarct Segmentation Challenge on Delayed Enhancement MRI of the Left Ventricle",
abstract = "This paper presents collated results from the Delayed en-hancement MRI (DE-MRI) segmentation challenge as part of 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 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 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 Verlag",
editor = "Camara, {Oscar } and { Mansi}, Tommaso and Pop, {Mihaela } and { Rhode}, Kawal and Sermesant, {Maxime } and { Young}, Alistair",
booktitle = "Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges",
address = "Austria",
}