Michael Lauria, PhD

Medical Physics Resident

Scalable quorum-based deep neural networks with adversarial learning for automated lung lobe segmentation in fast helical free-breathing CTs


Journal article


B. Stiehl, M. Lauria, K. Singhrao, J. Goldin, I. Barjaktarevic, D. Low, A. Santhanam
International Journal of Computer Assisted Radiology and Surgery, 2021

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APA   Click to copy
Stiehl, B., Lauria, M., Singhrao, K., Goldin, J., Barjaktarevic, I., Low, D., & Santhanam, A. (2021). Scalable quorum-based deep neural networks with adversarial learning for automated lung lobe segmentation in fast helical free-breathing CTs. International Journal of Computer Assisted Radiology and Surgery.


Chicago/Turabian   Click to copy
Stiehl, B., M. Lauria, K. Singhrao, J. Goldin, I. Barjaktarevic, D. Low, and A. Santhanam. “Scalable Quorum-Based Deep Neural Networks with Adversarial Learning for Automated Lung Lobe Segmentation in Fast Helical Free-Breathing CTs.” International Journal of Computer Assisted Radiology and Surgery (2021).


MLA   Click to copy
Stiehl, B., et al. “Scalable Quorum-Based Deep Neural Networks with Adversarial Learning for Automated Lung Lobe Segmentation in Fast Helical Free-Breathing CTs.” International Journal of Computer Assisted Radiology and Surgery, 2021.


BibTeX   Click to copy

@article{b2021a,
  title = {Scalable quorum-based deep neural networks with adversarial learning for automated lung lobe segmentation in fast helical free-breathing CTs},
  year = {2021},
  journal = {International Journal of Computer Assisted Radiology and Surgery},
  author = {Stiehl, B. and Lauria, M. and Singhrao, K. and Goldin, J. and Barjaktarevic, I. and Low, D. and Santhanam, A.}
}


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