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Convolutional Neural Networks with Template-Based Data Augmentation for Functional Lung Image Quantification.
Tustison, Nicholas J; Avants, Brian B; Lin, Zixuan; Feng, Xue; Cullen, Nicholas; Mata, Jaime F; Flors, Lucia; Gee, James C; Altes, Talissa A; Mugler Iii, John P; Qing, Kun.
Affiliation
  • Tustison NJ; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia. Electronic address: ntustison@virginia.edu.
  • Avants BB; Cingulate, Hampton, New Hampshire.
  • Lin Z; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia.
  • Feng X; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia.
  • Cullen N; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Mata JF; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia.
  • Flors L; Department of Radiology, University of Missouri, Columbia, Missouri.
  • Gee JC; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Altes TA; Department of Radiology, University of Missouri, Columbia, Missouri.
  • Mugler Iii JP; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia.
  • Qing K; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia.
Acad Radiol ; 26(3): 412-423, 2019 03.
Article in En | MEDLINE | ID: mdl-30195415
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Imaging / Deep Learning / Lung Limits: Humans Language: En Journal: Acad Radiol Journal subject: RADIOLOGIA Year: 2019 Document type: Article Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Imaging / Deep Learning / Lung Limits: Humans Language: En Journal: Acad Radiol Journal subject: RADIOLOGIA Year: 2019 Document type: Article Country of publication: United States