Accelerated Cardiac Parametric Mapping Using Deep Learning-Refined Subspace Models
Published in Statistical Atlases and Computational Models of the Heart, 2024
This is our submission to the CMRxRecon parametric mapping reconstruction challenge from the STACOM 2023 conference.
Recommended citation: Sheagren, C.D., Kadota, B.T., Patel, J.H., Chiew, M., Wright, G.A. (2024). Accelerated Cardiac Parametric Mapping Using Deep Learning-Refined Subspace Models. In: Camara, O., et al. Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers. STACOM 2023. Lecture Notes in Computer Science, vol 14507. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-031-52448-6_35