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A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications
Valerio Guarrasi, Fatih Aksu, Camillo Maria Caruso, Francesco Di Feola, Aurora Rofena, Filippo Ruffini, Paolo Soda
Università Campus Bio-Medico Humanitas University Umeå University
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生物医学COVID-19 diagnosis using AI
Brain Tumor Detection and Classification · Domain Adaptation and Few-Shot Learning
参考文献 119
Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects
被引 1,285Dana Lahat, Tülay Adalı, Christian Jutten · Proceedings of the IEEE · 2015
The Function Biomedical Informatics Research Network Data Repository
被引 193David B. Keator, Theo G.M. van Erp, Jessica A. Turner · NeuroImage · 2015
A review of multivariate methods for multimodal fusion of brain imaging data
被引 418Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you, Tülay Adalı, Qingbao Yu · Journal of Neuroscience Methods · 2011
此处列出前 3 条
引用本文 8
A machine learning approach to leveraging electronic health records for enhanced omics analysis
被引 48Samson Mataraso, Camilo Espinosa, David Seong · Nature Machine Intelligence · 2025
Deep learning for land use classification: a systematic review of HS-LiDAR imagery
被引 12Muhammad Zia Ur Rehman, Syed Mohammed Shamsul Islam, David Blake · Artificial Intelligence Review · 2025
Enhanced Aiot Multi‐Modal Fusion for Human Activity Recognition in Ambient Assisted Living Environment
被引 9Ankit Patel, Rutvij H. Jhaveri, Ashish Patel · Software Practice and Experience · 2024
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