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A convolutional neural network to filter artifacts in spectroscopic MRI
Authors:Saumya S. Gurbani  Eduard Schreibmann  Andrew A. Maudsley  James Scott Cordova  Brian J. Soher  Harish Poptani  Gaurav Verma  Peter B. Barker  Hyunsuk Shim  Lee A. D. Cooper
Affiliation:1. Department of Radiation Oncology, Emory University, Atlanta, Georgia;2. Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia;3. Winship Cancer Institute of Emory University, Atlanta, Georgia;4. Department of Radiology, University of Miami Miller School of Medicine, Miami, Florida;5. Department of Radiology, Duke University School of Medicine, Durham, North Carolina;6. Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom;7. Department of Radiology, Icahn School of Medicine at Mt. Sinai, New York, New York;8. Department of Radiology and Radiological Science, The Johns Hopkins University, Baltimore, Maryland;9. Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia;10. Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia
Abstract:
Keywords:deep learning  machine learning  MR spectroscopic imaging  spectroscopic MRI
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