Abstract
IRMA is a meta-algorithm for image registration (image alignment), evaluating results under multiple metrics using the LONI Pipeline workflow infrastructure, on the LONI/CCB grid computing facility. IRMA manages these results in a model base implemented with PostgreSQL. It permits scientists to catalog the results such as provenance information, and permits subsequent mining - exploring the space of alternatives in an organized fashion and building understanding about individual algorithms, and learn about strengths and weaknesses of algorithms over time. © 2008 Springer-Verlag.
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CITATION STYLE
Leung, K. T., Parker, D. S., Cunha, A., Hojatkashani, C., Dinov, I., & Toga, A. W. (2008). IRMA: An image registration meta-algorithm - Evaluating alternative algorithms with multiple metrics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5069 LNCS, pp. 612–617). https://doi.org/10.1007/978-3-540-69497-7_46
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