@inproceedings{90d4edd2084b48f0a4cea709d43a6835,
title = "Harmonization of methods to facilitate reproducibility in medical data processing: Applications to diffusion tensor magnetic resonance imaging",
abstract = "Data and methodology sharing is essential for progression of scientific research. Several research groups have built tools for medical big data (MBD) processing applicable to Diffusion Tensor MRI (DTI) processing pipelines. In this paper, we propose a framework enabling methodology sharing (i.e. harmonization) to facilitate the reproducibility in DTI processing.",
keywords = "diffusion tensor MRI, medical big data, method sharing, reproducibility, workflow automation",
author = "Jeffrey Jenkins and Chang, {Lin Ching} and Elizabeth Hutchinson and Irfanoglu, {M. Okan} and Carlo Pierpaoli",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 4th IEEE International Conference on Big Data, Big Data 2016 ; Conference date: 05-12-2016 Through 08-12-2016",
year = "2016",
doi = "10.1109/BigData.2016.7841086",
language = "English (US)",
series = "Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3992--3994",
editor = "Ronay Ak and George Karypis and Yinglong Xia and Hu, {Xiaohua Tony} and Yu, {Philip S.} and James Joshi and Lyle Ungar and Ling Liu and Aki-Hiro Sato and Toyotaro Suzumura and Sudarsan Rachuri and Rama Govindaraju and Weijia Xu",
booktitle = "Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016",
}