CALAMITI
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Contrast Anatomy Learning and Analysis for MR Intensity Translation and Integration (CALAMITI)
Contrast Anatomy Learning and Analysis for MR Intensity Translation and Integration (CALAMITI) is our current MR harmonization method. It was designed to achieve unsupervised multi-site MR harmonization. The associated publication is:
- L. Zuo, B.E. Dewey, A. Carass, Y. Liu, Y. He, P.A. Calabresi, and J.L. Prince, "Information-based Disentangled Representation Learning for Unsupervised MR Harmonization", 27th Conference on Information Processing in Medical Imaging (IPMI 2021), Virtually in Bornholm, Denmark, June 28 - July 2, 2021.
Software
| CALAMITI code (2D) | 220k |
If you have questions regarding the method or software, please email Lianrui Zuo at lr_zuo@jhu.edu
