1. Abbasi-Sureshjani, S., Amirrajab, S., Lorenz, C., Weese, J., Pluim, J., Breeuwer, M.: 4D semantic cardiac magnetic resonance image synthesis on XCAT anatomical model. In: Medical Imaging with Deep Learning (2020)
2. Amirrajab, S., Al Khalil, Y., Lorenz, C., Weese, J., Breeuwer, M.: Towards generating realistic and hetrogeneous cardiac magnetic resonance simulated image database for deep learning based image segmentation algorithms. Proceedings of the 12th Annual Meeting ISMRM Benelux Chapter 2020, P-077 (2020)
3. Andreopoulos, A., Tsotsos, J.K.: Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI. Med. Image Anal. 12(3), 335–357 (2008)
4. Bernard, O., Lalande, A., Zotti, C., Cervenansky, F., et al.: Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved? IEEE Trans. Med. Imaging 37(11), 2514–2525 (2018)
5. Lecture Notes in Computer Science;K Chaitanya,2019