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Denoising diffusion weighted imaging data using convolutional neural networks
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Hu Cheng ,
Roles Conceptualization, Data curation, Methodology, Writing – original draft, Writing – review & editing
* E-mail: hucheng@indiana.edu
Affiliations Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States of America, Program of Neuroscience, Indiana University, Bloomington, IN, United States of America
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Sophia Vinci-Booher,
Roles Data curation, Formal analysis, Methodology, Writing – review & editing
Affiliations Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States of America, Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, United States of America
⨯ - Jian Wang,
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Bradley Caron,
Roles Data curation, Methodology, Writing – review & editing
Affiliation Department of Psychology, Center for Perceptual Systems and Center for Theoretical and Computational Neuroscience, The University of Texas at Austin, Austin, TX, United States of America
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Qiuting Wen,
Roles Data curation
Affiliation Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States of America
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Sharlene Newman,
Roles Funding acquisition, Supervision
Affiliation Alabama Life Research Institute, The University of Alabama, Tuscaloosa, AL, United States of America
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Franco Pestilli
Roles Funding acquisition, Investigation, Supervision
Affiliation Department of Psychology, Center for Perceptual Systems and Center for Theoretical and Computational Neuroscience, The University of Texas at Austin, Austin, TX, United States of America
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https://orcid.org/0000-0002-5644-4837
Denoising diffusion weighted imaging data using convolutional neural networks
- Hu Cheng,
- Sophia Vinci-Booher,
- Jian Wang,
- Bradley Caron,
- Qiuting Wen,
- Sharlene Newman,
- Franco Pestilli
- Published: September 15, 2022
- https://doi.org/10.1371/journal.pone.0274396