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2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) by Du, Lei (author);Zhang, Jin (author);Liu, Fang (author);Zhang, Minjianan (author);Wang, Huiai (author);Guo, Lei (author);Han, Junwei (author) is a nonfiction available to read on EtoBox.

What is 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) about?

Neuroimaging techniques have shown increasing power to understand the neuropathology of brain disorders. Multimodal brain imaging data carry distinct but complementary information and thus could depict brain disorders comprehensively. To deepen our understanding, it is essential to investigate the intrinsic associations among multiple modalities. To date, the pairwise correlations between imaging data captured by different imaging modalities have been well studied, leaving formidable challenges to identify high-order associations. In this paper, we first propose a new sparse tensor canonical correlation analysis (STCCA) with feature selection to analyze the complex high-order relationships among multimodal brain imaging data. In addition, we find that methods for identifying pairwise associations and high-order associations have complementary advantages, providing a sound reason to fuse them. Therefore, we further propose an improved STCCA (STCCA + ) which integrates STCCA and sparse multiple CCA (SMCCA) to fully uncover associations among multiple imaging modalities. The proposed STCCA + detects equivalent association levels among multimodal imaging data compared to SMCCA. Most im

Who reads 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)?

Author

Du, Lei (author);Zhang, Jin (author);Liu, Fang (author);Zhang, Minjianan (author);Wang, Huiai (author);Guo, Lei (author);Han, Junwei (author)

Publisher

IEEE

Published

2020

Language

EN

Category

nonfiction