Journal article
Bulletin of the American Physical Society, vol. 65, APS, 2020
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          APA  
          
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          Thomas, D., Forghani, F., Mahl, A., Jones, B., Borden, M., & Miften, M. (2020). A fast and effective denoising solution using deep learning for real time X-ray Acoustic Computed Tomography. Bulletin of the American Physical Society, 65.
        
          Chicago/Turabian  
          
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          Thomas, David, Farnoush Forghani, Adam Mahl, Bernard Jones, Mark Borden, and Moyed Miften. “A Fast and Effective Denoising Solution Using Deep Learning for Real Time X-Ray Acoustic Computed Tomography.” Bulletin of the American Physical Society 65 (2020).
        
          MLA  
          
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          Thomas, David, et al. “A Fast and Effective Denoising Solution Using Deep Learning for Real Time X-Ray Acoustic Computed Tomography.” Bulletin of the American Physical Society, vol. 65, APS, 2020.
        
BibTeX Click to copy
@article{thomas2020a,
  title = {A fast and effective denoising solution using deep learning for real time X-ray Acoustic Computed Tomography},
  year = {2020},
  journal = {Bulletin of the American Physical Society},
  publisher = {APS},
  volume = {65},
  author = {Thomas, David and Forghani, Farnoush and Mahl, Adam and Jones, Bernard and Borden, Mark and Miften, Moyed}
}