Abramikas, Ž.; Jasiukevičiūtė, I.; Balčiūnaitė, G.; Glaveckaitė, S.; Palionis, D.; Valevičienė, N.
Artificial Intelligence Performance in Cardiac Magnetic Resonance Strain Analysis for Aortic Stenosis: Validation with Echocardiography and Healthy Controls. Medicina 2025, 61, 950.
https://doi.org/10.3390/medicina61060950
AMA Style
Abramikas Ž, Jasiukevičiūtė I, Balčiūnaitė G, Glaveckaitė S, Palionis D, Valevičienė N.
Artificial Intelligence Performance in Cardiac Magnetic Resonance Strain Analysis for Aortic Stenosis: Validation with Echocardiography and Healthy Controls. Medicina. 2025; 61(6):950.
https://doi.org/10.3390/medicina61060950
Chicago/Turabian Style
Abramikas, Žygimantas, Ieva Jasiukevičiūtė, Giedrė Balčiūnaitė, Sigita Glaveckaitė, Darius Palionis, and Nomeda Valevičienė.
2025. "Artificial Intelligence Performance in Cardiac Magnetic Resonance Strain Analysis for Aortic Stenosis: Validation with Echocardiography and Healthy Controls" Medicina 61, no. 6: 950.
https://doi.org/10.3390/medicina61060950
APA Style
Abramikas, Ž., Jasiukevičiūtė, I., Balčiūnaitė, G., Glaveckaitė, S., Palionis, D., & Valevičienė, N.
(2025). Artificial Intelligence Performance in Cardiac Magnetic Resonance Strain Analysis for Aortic Stenosis: Validation with Echocardiography and Healthy Controls. Medicina, 61(6), 950.
https://doi.org/10.3390/medicina61060950
