Automatic Aortic Valve Pathology Detection from 3-Chamber Cine MRI with Spatio-Temporal Attention Maps
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35302-4_66
Reference22 articles.
1. Guglielmo, M., et al.: The role of cardiac magnetic resonance in aortic stenosis and regurgitation. J. Cardiovasc. Dev. Dis. 9(4), 108 (2022). https://doi.org/10.3390/jcdd9040108
2. Timmis, A., et al.: European society of cardiology: cardiovascular disease statistics 2021. Eur. Heart J. 43(8), 716–799 (2022). https://doi.org/10.1093/eurheartj/ehab892
3. Iung, B., et al.: A prospective survey of patients with valvular heart disease in Europe: the euro heart survey on Valvular Heart Disease. Eur. Heart J. 24(13), 1231–1243 (2003). https://doi.org/10.1016/S0195-668X(03)00201-X
4. Vahanian, A., et al.: 2021 ESC/EACTS guidelines for the management of valvular heart disease: developed by the task force for the management of valvular heart disease of the European Society of Cardiology (ESC) and the European Association for Cardio-Thoracic Surgery (EACTS). Eur. Heart J. 43(7), 561–632 (2021). https://doi.org/10.1093/eurheartj/ehab395
5. Vimalesvaran, K., et al.: Detecting aortic valve pathology from the 3-chamber cine cardiac mri view. In: Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, pp. 571–580. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-16431-6_54
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