Machine learning based detection of depression from task-based fMRI using weighted-3D-DWT denoising method-Reference-Cited by-同舟云学术

Machine learning based detection of depression from task-based fMRI using weighted-3D-DWT denoising method

Published:2023-06-24 Issue:4 Volume:83 Page:11805-11829
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Özmen Güzin^ORCID,Özşen Seral,Paksoy Yahya,Güler Özkan,Tekdemir Rukiye

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15935-4.pdf

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4. Al-Hiyali MI, Yahya N, Faye I, Khan Z and Alsaih K (2021) Classification of BOLD FMRI Signals using Wavelet Transform and Transfer Learning for Detection of Autism Spectrum Disorder, IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), Langkawi Island, Malaysia, pp. 94–98. https://doi.org/10.1109/IECBES48179.2021.9398803

5. Bürger C et al (2017) Differential abnormal pattern of anterior cingulate gyrus activation in unipolar and bipolar depression: an fmri and pattern classification approach. Neuropsychopharmacology 42(7):1399–1408. https://doi.org/10.1038/npp.2017.36

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