Article Versions Notes

Ganesan P, Feng R, Deb B, Tjong FVY, Rogers AJ, Ruipérez-Campillo S, Somani S, Clopton P, Baykaner T, Rodrigo M, et al. Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot Dataset. Diagnostics. 2024; 14(14):1538. https://doi.org/10.3390/diagnostics14141538

Ganesan, Prasanth, Ruibin Feng, Brototo Deb, Fleur V. Y. Tjong, Albert J. Rogers, Samuel Ruipérez-Campillo, Sulaiman Somani, Paul Clopton, Tina Baykaner, Miguel Rodrigo, and et al. 2024. "Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot Dataset" Diagnostics 14, no. 14: 1538. https://doi.org/10.3390/diagnostics14141538

Ganesan, P., Feng, R., Deb, B., Tjong, F. V. Y., Rogers, A. J., Ruipérez-Campillo, S., Somani, S., Clopton, P., Baykaner, T., Rodrigo, M., Zou, J., Haddad, F., Zaharia, M., & Narayan, S. M. (2024). Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot Dataset. Diagnostics, 14(14), 1538. https://doi.org/10.3390/diagnostics14141538