Gregory Barnes

Orcid: 0000-0002-7711-5506

Affiliations:
  • University of Louisville, Department of Neurology, KY, USA


According to our database1, Gregory Barnes authored at least 23 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Using Physiological Signals and Machine Learning Algorithms to Measure Attentiveness During Robot-Assisted Social Skills Intervention: A Case Study of Two Children with Autism Spectrum Disorder.
IEEE Instrum. Meas. Mag., May, 2023

2022
Understanding Autism Using Machine Learning: A Structural MRI Study.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
The Role of Diffusion Tensor MR Imaging (DTI) of the Brain in Diagnosing Autism Spectrum Disorder: Promising Results.
Sensors, 2021

A Personalized Computer-Aided Diagnosis System for Mild Cognitive Impairment (MCI) Using Structural MRI (sMRI).
Sensors, 2021

Identifying brain areas correlated with ADOS raw scores by studying altered dynamic functional connectivity patterns.
Medical Image Anal., 2021

A Novel Grading System for Autism Severity Level Using Task-Based Functional MRI: A Response to Speech Study.
IEEE Access, 2021

A Novel Dwt-Based Discriminant Features Extraction From Task-Based Fmri: An Asd Diagnosis Study Using Cnn.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Computer Aided Autism Diagnosis Using Diffusion Tensor Imaging.
IEEE Access, 2020

Personalized Computer-Aided Diagnosis for Mild Cognitive Impairment in Alzheimer's Disease Based on sMRI and ¹¹C PiB-PET Analysis.
IEEE Access, 2020

A Novel Framework for Grading Autism Severity Using Task-Based FMRI.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
A Machine Learning Approach for Grading Autism Severity Levels Using Task-based Functional MRI.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Autism Spectrum Disorder Diagnosis framework using Diffusion Tensor Imaging.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

A Local/Regional Based CAD System for Early Diagnosis of Alzheimer's Disease Using sMRI Scans.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

2018
Identifying Personalized Autism Related Impairments Using Resting Functional MRI and ADOS Reports.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A Cortical Based Diagnosis System for MCI Based on sMRI Features Fusion.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

Towards Accurate Personalized Autism Diagnosis Using Different Imaging Modalities: sMRI, fMRI, and DTI.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

A Significant Regional-based Diagnosis System for Early Detection of Alzheimer's Disease Using sMRI Scans.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

Using resting state functional MRI to build a personalized autism diagnosis system.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Towards Personalized Autism Diagnosis: Promising Results.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Significant Region-Based Framework for Early Diagnosis of Alzheimer's Disease Using <sup>11</sup>C PiB-PET Scans.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
A novel CAD system for autism diagnosis using structural and functional MRI.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A new deep-learning approach for early detection of shape variations in autism using structural mri.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A novel CAD system for local and global early diagnosis of Alzheimer's disease based on PIB-PET scans.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017


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