Domain Adaptation for Automatic Aorta Segmentation of 4D Flow Magnetic Resonance Imaging Data from Multiple Vendor Scanners
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Alistair A. Young | Oscar Camara | Daniel Romero | Kathleen Gilbert | Lydia Dux-Santoy | Gonzalo D. Maso Talou | Edward Ferdian | Aroa Ruiz-Muñoz | Andrea Guala | Jordina Aviles | Marcos Mejía Córdova | Xabier Morales Ferez | Ayah Elsayed | Gisela Teixido-Tura | Jose Rodriguez-Palomares | A. Young | O. Camara | J. Rodríguez-Palomares | A. Guala | G. Teixidó-Tura | L. Dux-Santoy | K. Gilbert | D. Romero | X. Ferez | A. Ruiz-Muñoz | E. Ferdian | G. M. Talou | J. Aviles | M. M. Córdova | A. Elsayed
[1] David A. Steinman,et al. An image-based modeling framework for patient-specific computational hemodynamics , 2008, Medical & Biological Engineering & Computing.
[2] Michael B. Scott,et al. Fully automated 3D aortic segmentation of 4D flow MRI for hemodynamic analysis using deep learning , 2020, Magnetic resonance in medicine.
[3] Frédérique Frouin,et al. Automated segmentation of the aorta from phase contrast MR images: Validation against expert tracing in healthy volunteers and in patients with a dilated aorta , 2010, Journal of magnetic resonance imaging : JMRI.
[4] M. Markl,et al. Comprehensive 4D velocity mapping of the heart and great vessels by cardiovascular magnetic resonance , 2011, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.