MAF-Net: Multimodal cross-attention-based fusion network for cardiovascular disease classification.

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Title: MAF-Net: Multimodal cross-attention-based fusion network for cardiovascular disease classification.
Authors: Qu C; School of Artificial Intelligence, Changchun University of Science and Technology, Changchun, Jilin, China., Zhang X; School of Artificial Intelligence, Changchun University of Science and Technology, Changchun, Jilin, China., Lu Y; School of Artificial Intelligence, Changchun University of Science and Technology, Changchun, Jilin, China., Wang Y; School of Artificial Intelligence, Changchun University of Science and Technology, Changchun, Jilin, China., Su C; School of Artificial Intelligence, Changchun University of Science and Technology, Changchun, Jilin, China.
Source: PloS one [PLoS One] 2026 Apr 07; Vol. 21 (4), pp. e0345238. Date of Electronic Publication: 2026 Apr 07 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0345238