Publisher
Springer International Publishing
Reference11 articles.
1. Ayed, I.B., Chen, H.M., Punithakumar, K., Ross, I., Li, S.: Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the bhattacharyya measure. Med. Image Anal. 16(1), 87–100 (2012)
2. Kingma, D., Ba, J.: Adam: a method for stochastic optimization. Computer Science (2014)
3. Lecture Notes in Computer Science;O Ronneberger,2015
4. Xue, W., Islam, A., Bhaduri, M., Li, S.: Direct multitype cardiac indices estimation via joint representation and regression learning. IEEE Trans. Med. Imaging 36(10), 2057–2067 (2017)
5. Xue, W., Brahm, G., Pandey, S., Leung, S., Li, S.: Full left ventricle quantification via deep multitask relationships learning. Med. Image Anal. 43, 54–65 (2018)
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Refined Deep Layer Aggregation for Multi-Disease, Multi-View & Multi-Center Cardiac MR Segmentation;Lecture Notes in Computer Science;2022
2. Spatio-Temporal Multi-Task Learning for Cardiac MRI Left Ventricle Quantification;IEEE Journal of Biomedical and Health Informatics;2021-07
3. Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters;Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges;2021
4. Left Ventricular Parameter Regression from Deep Feature Maps of a Jointly Trained Segmentation CNN;Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges;2020
5. Left Ventricle Quantification with Cardiac MRI: Deep Learning Meets Statistical Models of Deformation;Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges;2020