Our paper entitled “Automated cardiovascular magnetic resonance image analysis with fully convolutional networks” has won the JCMR 2018 Best Paper Award (12th Gerald M. Pohost Award) at SCMR 2019.

In this paper, a fully convolutional network was trained and evaluated on a large-scale CMR dataset for segmentation of the four cardiac chambers. The performance was comparable to human performance on this single dataset.