Babaeipour, R.; Fox, M.S.; Parraga, G.; Ouriadov, A.
Comparative Analysis of Foundational, Advanced, and Traditional Deep Learning Models for Hyperpolarized Gas MRI Lung Segmentation: Robust Performance in Data-Constrained Scenarios. Bioengineering 2025, 12, 1062.
https://doi.org/10.3390/bioengineering12101062
AMA Style
Babaeipour R, Fox MS, Parraga G, Ouriadov A.
Comparative Analysis of Foundational, Advanced, and Traditional Deep Learning Models for Hyperpolarized Gas MRI Lung Segmentation: Robust Performance in Data-Constrained Scenarios. Bioengineering. 2025; 12(10):1062.
https://doi.org/10.3390/bioengineering12101062
Chicago/Turabian Style
Babaeipour, Ramtin, Matthew S. Fox, Grace Parraga, and Alexei Ouriadov.
2025. "Comparative Analysis of Foundational, Advanced, and Traditional Deep Learning Models for Hyperpolarized Gas MRI Lung Segmentation: Robust Performance in Data-Constrained Scenarios" Bioengineering 12, no. 10: 1062.
https://doi.org/10.3390/bioengineering12101062
APA Style
Babaeipour, R., Fox, M. S., Parraga, G., & Ouriadov, A.
(2025). Comparative Analysis of Foundational, Advanced, and Traditional Deep Learning Models for Hyperpolarized Gas MRI Lung Segmentation: Robust Performance in Data-Constrained Scenarios. Bioengineering, 12(10), 1062.
https://doi.org/10.3390/bioengineering12101062