Journal article
International Journal of Computer Assisted Radiology and Surgery, 2021
APA
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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
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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
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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.}
}