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Deep Variational Autoencoder for Mapping Functional Brain Networks.

, , , , , , , , and . IEEE Trans. Cogn. Dev. Syst., 13 (4): 841-852 (2021)

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Deep Variational Autoencoder for Mapping Functional Brain Networks., , , , , , , , and . IEEE Trans. Cogn. Dev. Syst., 13 (4): 841-852 (2021)Review of Large Vision Models and Visual Prompt Engineering., , , , , , , , , and 11 other author(s). CoRR, (2023)Prompt Engineering for Healthcare: Methodologies and Applications., , , , , , , , , and 10 other author(s). CoRR, (2023)Holistic Evaluation of GPT-4V for Biomedical Imaging., , , , , , , , , and 40 other author(s). CoRR, (2023)Large Language Models for Robotics: Opportunities, Challenges, and Perspectives., , , , , , , , , and 10 other author(s). CoRR, (2024)A Survey of Foundation Models for Music Understanding., , , , , , , , , and 6 other author(s). CoRR, (2024)AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition., , , , , , , and . IJCAI, page 5150-5156. ijcai.org, (2022)A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data., , , , and . Frontiers Neuroinformatics, (2018)Deriving ADHD biomarkers with sparse coding based network analysis., , , , , , and . ISBI, page 22-25. IEEE, (2015)Spatial-temporal convolutional attention for discovering and characterizing functional brain networks in task fMRI., , , , , and . NeuroImage, (February 2024)