Accelerated Cardiac Parametric Mapping Using Deep Learning-Refined Subspace Models
Published in Statistical Atlases and Computational Models of the Heart, 2024
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
This is our submission to the CMRxRecon parametric mapping reconstruction challenge from the STACOM 2023 conference.