Efficient Blind Source Separation Method for fMRI Using Autoencoder and Spatiotemporal Sparsity Constraints-Reference-Cited by-同舟云学术

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Efficient Blind Source Separation Method for fMRI Using Autoencoder and Spatiotemporal Sparsity Constraints

Published:2023 Issue: Volume:11 Page:50364-50381
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khalid Muhammad Usman¹,Khawaja Bilal A.²^ORCID,Nauman Malik Muhammad³^ORCID

Affiliation:

1. College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia

2. Department of Electrical Engineering, Faculty of Engineering, Islamic University of Madinah, Madinah, Saudi Arabia

3. Faculty of Integrated Technologies, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei

Funder

Universiti Brunei Darussalam

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10128979.pdf?arnumber=10128979

Reference78 articles.

1. Improving functional connectivity detection in FMRI by combining sparse dictionary learning and canonical correlation analysis

2. Double Sparsity: Learning Sparse Dictionaries for Sparse Signal Approximation

3. A Projection CCA Method for Effective fMRI Data Analysis

4. Sparse Group Bases for Multisubject fMRI Data

5. A New Image Denoising Method by Combining WT with ICA

Cited by 5 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. Three layered sparse dictionary learning algorithm for enhancing the subject wise segregation of brain networks;Scientific Reports;2024-08-17

2. Improving Source Separation for Multi-subject fMRI Data by Incorporating Signal Intensity and Spatiotemporal Basis Expansion;Proceedings of the 2024 7th International Conference on Image and Graphics Processing;2024-01-19

3. Robust Subject-Wise Dictionary Learning for fMRI;IEEE Access;2024

4. A novel subject-wise dictionary learning approach using multi-subject fMRI spatial and temporal components;Scientific Reports;2023-11-18

5. A novel physiological signal denoising method coupled with multispectral adaptive wavelet denoising(MAWD) and unsupervised source counting algorithm(USCA);Journal of Engineering Research;2023-07

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