Article Versions Notes

Shiraga T, Makimoto H, Kohlmann B, Magnisali C-E, Imai Y, Itani Y, Makimoto A, Schölzel F, Bejinariu A, Kelm M, et al. Improving Valvular Pathologies and Ventricular Dysfunction Diagnostic Efficiency Using Combined Auscultation and Electrocardiography Data: A Multimodal AI Approach. Sensors. 2023; 23(24):9834. https://doi.org/10.3390/s23249834

Shiraga, Takeru, Hisaki Makimoto, Benita Kohlmann, Christofori-Eleni Magnisali, Yoshie Imai, Yusuke Itani, Asuka Makimoto, Fabian Schölzel, Alexandru Bejinariu, Malte Kelm, and et al. 2023. "Improving Valvular Pathologies and Ventricular Dysfunction Diagnostic Efficiency Using Combined Auscultation and Electrocardiography Data: A Multimodal AI Approach" Sensors 23, no. 24: 9834. https://doi.org/10.3390/s23249834

Shiraga, T., Makimoto, H., Kohlmann, B., Magnisali, C.-E., Imai, Y., Itani, Y., Makimoto, A., Schölzel, F., Bejinariu, A., Kelm, M., & Rana, O. (2023). Improving Valvular Pathologies and Ventricular Dysfunction Diagnostic Efficiency Using Combined Auscultation and Electrocardiography Data: A Multimodal AI Approach. Sensors, 23(24), 9834. https://doi.org/10.3390/s23249834