Automated Multiclass Artifact Detection in Diffusion MRI Volumes via 3D Residual Squeeze-and-Excitation Convolutional Neural Networks

Ettehadi, N., Kashyap, P., Zhang, X., Wang, Y., Semanek, D., Desai, K., Guo, J., Posner, J., & Laine, A. F. (2022). Automated Multiclass Artifact Detection in Diffusion MRI Volumes via 3D Residual Squeeze-and-Excitation Convolutional Neural Networks. Frontiers in Human Neuroscience, 16. https://doi.org/10.3389/fnhum.2022.877326
Authors:
Nabil Ettehadi
Pratik Kashyap
Xuzhe Zhang
Yun Wang
David Semanek
Karan Desai
Jia Guo
Jonathan Posner
Andrew F Laine
Affiliated Authors:
Nabil Ettehadi
Xuzhe Zhang
David Semanek
Jia Guo
Andrew F Laine
Columbia Affiliation:
Subjects:
Diffusion Magnetic Resonance Imaging (OpenAlex Topic)
Magnetic Resonance Imaging Applications in Medicine (OpenAlex Topic)
Analysis of Brain Functional Connectivity Networks (OpenAlex Topic)
Author Keywords:
diffusion mri
artifacts
quality control
convolutional neural networks
deep learning
medical imaging
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Publication Type:
Article
Unique ID:
10.3389/fnhum.2022.877326
PMID:
35431841
DOI:
10.3389/fnhum.2022.877326
Journal:
Frontiers in Human Neuroscience
Publication Date:
Data Source:
PubMed
Source Link:
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Record Created: