A Comprehensive Literature Review of Application of Artificial Intelligence in Functional Magnetic Resonance Imaging for Disease Diagnosis-Reference-Cited by-同舟云学术

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A Comprehensive Literature Review of Application of Artificial Intelligence in Functional Magnetic Resonance Imaging for Disease Diagnosis

Published:2021-10-31 Issue: Volume: Page:1-19
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Nawaz Ali¹^ORCID,Rehman Attique Ur¹,Ali Tahir Mohammad²,Hayat Zara¹,Rahim Aqsa¹,Uz Zaman Uzair Khaleeq¹,Ali Amad Rizwan³

Affiliation:

1. UserMaven INC, College of Electrical and Mechanical Engineering, Nust, Islamabad, Pakistan

2. GULF University of Science and Technology, Mubarak Al-Abdullah Area (West Mishref), Hawally, Kuwait

3. UserMaven INC, Kth Royal Institute of Technology: Kungliga Tekniska Hogskolan, SWEDEN

Funder

Kuwait Foundation for the Advancement of Sciences

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.1982185

Reference50 articles.

1. Combination of rs-fMRI and sMRI Data to Discriminate Autism Spectrum Disorders in Young Children Using Deep Belief Network

2. Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks

3. Study design in fMRI: Basic principles

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1. Causal Forest Machine Learning Analysis of Parkinson’s Disease in Resting-State Functional Magnetic Resonance Imaging;Tomography;2024-06-06

2. CNN-based Approach for Enhancing Brain Tumor Image Classification Accuracy;International Journal of Engineering;2024

3. A Machine Learning‐Based Framework for Accurate and Early Diagnosis of Liver Diseases: A Comprehensive Study on Feature Selection, Data Imbalance, and Algorithmic Performance;International Journal of Intelligent Systems;2024-01

4. Is adopting artificial intelligence in libraries urgency or a buzzword? A systematic literature review;Journal of Information Science;2023-01-12

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