Neural Network Classification of Resting State fMRI Data of ADHD and Healthy Subjects using Dynamic Mode Features-Reference-Cited by-同舟云学术

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Neural Network Classification of Resting State fMRI Data of ADHD and Healthy Subjects using Dynamic Mode Features

Published:2023-12-04 Issue: Volume:9 Page:1-6
ISSN:
Container-title:2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
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Author:

Harini R¹,Thatchayeni R¹,Lakshmipriya K¹,UdayaPrasanth P¹,Purnima S¹,Maheswari O Uma¹

Affiliation:

1. Anna University,Electronics & Communication Engineering,Guindy,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10487636/10487139/10487767.pdf?arnumber=10487767

Reference15 articles.

1. Neurophysiological investigation of the basis of the fMRI signal

2. Stability Analysis of fMRI BOLD Signals for Disease Diagnosis

3. Differences in Disrupted Dynamic Functional Network Connectivity Among Children, Adolescents, and Adults With Attention Deficit/Hyperactivity Disorder: A Resting-State fMRI Study

4. Dynamic mode decomposition of resting-state and task fMRI

5. Multi-Task Learning for Efficient Diagnosis of ASD and ADHD using Resting-State fMRI Data

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