A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding-Reference-Cited by-同舟云学术

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A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding

Published:2017-12 Issue:4 Volume:3 Page:683-694
ISSN:2373-776X
Container-title:IEEE Transactions on Signal and Information Processing over Networks
language:
Short-container-title:IEEE Trans. on Signal and Inf. Process. over Networks

Author:

Onal Itir^ORCID,Ozay Mete,Mizrak Eda,Oztekin Ilke,Vural Fatos T. Yarman

Funder

TUBITAK

CREST, JST

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6884276/8098622/07874195.pdf?arnumber=7874195

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Causal Learning and Knowledge Fusion Mechanism for Brain Functional Network Classification;IEEE Transactions on Signal and Information Processing over Networks;2024

2. MAMBODM: Design of a Multimodal Augmentation Model with Bioinspired dataset Optimizations for Deep Learning-based classification of MRI images;2023 Second International Conference on Informatics (ICI);2023-11-23

3. Analyzing Complex Problem Solving by Dynamic Brain Networks;Frontiers in Neuroinformatics;2021-12-10

4. A Comparison of Functional Networks Derived From Representational Similarity, Functional Connectivity, and Univariate Analyses;Frontiers in Neuroscience;2020-01-08

5. Gender classification using mesh networks on multiresolution multitask fMRI data;Brain Imaging and Behavior;2019-01-22

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