Fanwei Kong, Shawn C. Shadden. A Generalizable Deep-Learning Approach for Cardiac Magnetic Resonance Image Segmentation Using Image Augmentation and Attention U-Net. In Esther Puyol-Antón, Mihaela Pop, Maxime Sermesant, Víctor M. Campello, Alain Lalande, Karim Lekadir, Avan Suinesiaputra, Oscar Camara, Alistair A. Young, editors, Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers. Volume 12592 of Lecture Notes in Computer Science, pages 287-296, Springer, 2020. [doi]
@inproceedings{KongS20-0, title = {A Generalizable Deep-Learning Approach for Cardiac Magnetic Resonance Image Segmentation Using Image Augmentation and Attention U-Net}, author = {Fanwei Kong and Shawn C. Shadden}, year = {2020}, doi = {10.1007/978-3-030-68107-4_29}, url = {https://doi.org/10.1007/978-3-030-68107-4_29}, researchr = {https://researchr.org/publication/KongS20-0}, cites = {0}, citedby = {0}, pages = {287-296}, booktitle = {Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers}, editor = {Esther Puyol-Antón and Mihaela Pop and Maxime Sermesant and Víctor M. Campello and Alain Lalande and Karim Lekadir and Avan Suinesiaputra and Oscar Camara and Alistair A. Young}, volume = {12592}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-030-68107-4}, }