Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jaeger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin. 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. [doi]
@article{BernardLZCYHCLC18,
title = {Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?},
author = {Olivier Bernard and Alain Lalande and Clément Zotti and Frederic Cervenansky and Xin Yang and Pheng-Ann Heng and Irem Cetin and Karim Lekadir and Oscar Camara and Miguel Ángel González Ballester and Gerard Sanroma and Sandy Napel and Steffen E. Petersen and Georgios Tziritas and Elias Grinias and Mahendra Khened and Alex Varghese and Ganapathy Krishnamurthi and Marc-Michel Rohé and Xavier Pennec and Maxime Sermesant and Fabian Isensee and Paul Jaeger and Klaus H. Maier-Hein and Peter M. Full and Ivo Wolf and Sandy Engelhardt and Christian F. Baumgartner and Lisa M. Koch and Jelmer M. Wolterink and Ivana Isgum and Yeonggul Jang and Yoonmi Hong and Jay Patravali and Shubham Jain and Olivier Humbert and Pierre-Marc Jodoin},
year = {2018},
doi = {10.1109/TMI.2018.2837502},
url = {https://doi.org/10.1109/TMI.2018.2837502},
researchr = {https://researchr.org/publication/BernardLZCYHCLC18},
cites = {0},
citedby = {0},
journal = {IEEE Trans. Med. Imaging},
volume = {37},
number = {11},
pages = {2514-2525},
}