GarcÃa-Herreros, S.; López Gómez, J.J.; Cebria, A.; Izaola, O.; Salvador Coloma, P.; Nozal, S.; Cano, J.; Primo, D.; Godoy, E.J.; de Luis, D.
Validation of an Artificial Intelligence-Based Ultrasound Imaging System for Quantifying Muscle Architecture Parameters of the Rectus Femoris in Disease-Related Malnutrition (DRM). Nutrients 2024, 16, 1806.
https://doi.org/10.3390/nu16121806
AMA Style
GarcÃa-Herreros S, López Gómez JJ, Cebria A, Izaola O, Salvador Coloma P, Nozal S, Cano J, Primo D, Godoy EJ, de Luis D.
Validation of an Artificial Intelligence-Based Ultrasound Imaging System for Quantifying Muscle Architecture Parameters of the Rectus Femoris in Disease-Related Malnutrition (DRM). Nutrients. 2024; 16(12):1806.
https://doi.org/10.3390/nu16121806
Chicago/Turabian Style
GarcÃa-Herreros, Sergio, Juan Jose López Gómez, Angela Cebria, Olatz Izaola, Pablo Salvador Coloma, Sara Nozal, Jesús Cano, David Primo, Eduardo Jorge Godoy, and Daniel de Luis.
2024. "Validation of an Artificial Intelligence-Based Ultrasound Imaging System for Quantifying Muscle Architecture Parameters of the Rectus Femoris in Disease-Related Malnutrition (DRM)" Nutrients 16, no. 12: 1806.
https://doi.org/10.3390/nu16121806
APA Style
GarcÃa-Herreros, S., López Gómez, J. J., Cebria, A., Izaola, O., Salvador Coloma, P., Nozal, S., Cano, J., Primo, D., Godoy, E. J., & de Luis, D.
(2024). Validation of an Artificial Intelligence-Based Ultrasound Imaging System for Quantifying Muscle Architecture Parameters of the Rectus Femoris in Disease-Related Malnutrition (DRM). Nutrients, 16(12), 1806.
https://doi.org/10.3390/nu16121806
