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Gonzales RA, Seemann F, Lamy J, et al. MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study. J Cardiovasc Magn Reson. 2021;23(1):137doi: 10.1186/s12968-021-00824-2.
Gonzales, R. A., Seemann, F., Lamy, J., Mojibian, H., Atar, D., Erlinge, D., Steding-Ehrenborg, K., Arheden, H., Hu, C., Onofrey, J. A., Peters, D. C., & Heiberg, E. (2021). MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study. Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 23(1), 137. https://doi.org/10.1186/s12968-021-00824-2
Gonzales, Ricardo A, et al. "MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study." Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance vol. 23,1 (2021): 137. doi: https://doi.org/10.1186/s12968-021-00824-2
Gonzales RA, Seemann F, Lamy J, Mojibian H, Atar D, Erlinge D, Steding-Ehrenborg K, Arheden H, Hu C, Onofrey JA, Peters DC, Heiberg E. MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study. J Cardiovasc Magn Reson. 2021 Dec 02;23(1):137. doi: 10.1186/s12968-021-00824-2. PMID: 34857009; PMCID: PMC8638514.
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