David A. Hormuth, II

Research Scientist | Biomedical Engineering + Imaging Science > > Computational Oncology

An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom


Journal article


Chengyue Wu, D. Hormuth, T. Easley, V. Eijkhout, F. Pineda, G. Karczmar, T. Yankeelov
Medical Image Anal., 2021

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APA   Click to copy
Wu, C., Hormuth, D., Easley, T., Eijkhout, V., Pineda, F., Karczmar, G., & Yankeelov, T. (2021). An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom. Medical Image Anal.


Chicago/Turabian   Click to copy
Wu, Chengyue, D. Hormuth, T. Easley, V. Eijkhout, F. Pineda, G. Karczmar, and T. Yankeelov. β€œAn in Silico Validation Framework for Quantitative DCE-MRI Techniques Based on a Dynamic Digital Phantom.” Medical Image Anal. (2021).


MLA   Click to copy
Wu, Chengyue, et al. β€œAn in Silico Validation Framework for Quantitative DCE-MRI Techniques Based on a Dynamic Digital Phantom.” Medical Image Anal., 2021.


BibTeX   Click to copy

@article{chengyue2021a,
  title = {An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom},
  year = {2021},
  journal = {Medical Image Anal.},
  author = {Wu, Chengyue and Hormuth, D. and Easley, T. and Eijkhout, V. and Pineda, F. and Karczmar, G. and Yankeelov, T.}
}


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