Journal article
Magnetic Resonance in Medicine, 2022
Assistant Professor
APA
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Slavkova, K. P., DiCarlo, J., Wadhwa, V., Kumar, S., Wu, C., Virostko, J., … Tamir, J. I. (2022). An untrained deep learning method for reconstructing dynamic MR images from accelerated model‐based data. Magnetic Resonance in Medicine.
Chicago/Turabian
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Slavkova, Kalina P., J. DiCarlo, Viraj Wadhwa, Sidharth Kumar, Chengyue Wu, John Virostko, T. Yankeelov, and Jonathan I. Tamir. “An Untrained Deep Learning Method for Reconstructing Dynamic MR Images from Accelerated Model‐Based Data.” Magnetic Resonance in Medicine (2022).
MLA
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Slavkova, Kalina P., et al. “An Untrained Deep Learning Method for Reconstructing Dynamic MR Images from Accelerated Model‐Based Data.” Magnetic Resonance in Medicine, 2022.
BibTeX Click to copy
@article{kalina2022a,
title = {An untrained deep learning method for reconstructing dynamic MR images from accelerated model‐based data},
year = {2022},
journal = {Magnetic Resonance in Medicine},
author = {Slavkova, Kalina P. and DiCarlo, J. and Wadhwa, Viraj and Kumar, Sidharth and Wu, Chengyue and Virostko, John and Yankeelov, T. and Tamir, Jonathan I.}
}
To implement physics‐based regularization as a stopping condition in tuning an untrained deep neural network for reconstructing MR images from accelerated data.