Machine-learning neuroimaging challenge for automated diagnosis of mild cognitive impairment: lessons learnt

Machine-learning neuroimaging challenge for automated diagnosis of mild cognitive impairment: lessons learnt. Castiglioni, I., Salvatore, C., Ramirez, J., & Górriz, J. Journal of Neuroscience Methods, 302:10-13, 2018. [Role: first author | Castiglioni and Salvatore equally contributed to the paper]

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An increasing number of web-supported competitions is organized within the area of medical-image analysis involving worlwide participants. They allow computer scientists competing in a specific challenge to directly access standardized image data collected by large multicenter studies. Participating in such challenges is an effective way to facilitate better comparisons between new and existing computer-based image-analysis solutions. Grand Challenges in Biomedical-Image Analysis (http://grand-challenge. org) is one of...

@article{Castiglioni2018,
abstract = {An increasing number of web-supported competitions is organized within the area of medical-image analysis involving worlwide participants. They allow computer scientists competing in a specific challenge to directly access standardized image data collected by large multicenter studies. Participating in such challenges is an effective way to facilitate better comparisons between new and existing computer-based image-analysis solutions. Grand Challenges in Biomedical-Image Analysis (http://grand-challenge. org) is one of...},
author = {Castiglioni, I. and Salvatore, C. and Ramirez, J. and Górriz, J.M.},
doi = {10.1016/j.jneumeth.2017.12.019},
journal = {Journal of Neuroscience Methods},
pages = {10-13},
title = {{Machine-learning neuroimaging challenge for automated diagnosis of mild cognitive impairment: lessons learnt}},
url = {https://www.sciencedirect.com/science/article/pii/S0165027017304375},
volume = {302},
year = {2018},
note = {[Role: first author | Castiglioni and Salvatore equally contributed to the paper]}
}

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