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Full Information Linked ICA: addressing missing data problem in multimodal fusion
June 28, 2024, 4:49 a.m. | Ruiyang Li, F. DuBois Bowman, Seonjoo Lee
stat.ML updates on arXiv.org arxiv.org
Abstract: Recent advances in multimodal imaging acquisition techniques have allowed us to measure different aspects of brain structure and function. Multimodal fusion, such as linked independent component analysis (LICA), is popularly used to integrate complementary information. However, it has suffered from missing data, commonly occurring in neuroimaging data. Therefore, in this paper, we propose a Full Information LICA algorithm (FI-LICA) to handle the missing data problem during multimodal fusion under the LICA framework. Built upon complete …
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