Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King. A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI. 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 3-13, Springer, 2020. [doi]
@inproceedings{ByrneCMK20,
title = {A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI},
author = {Nick Byrne and James R. Clough and Giovanni Montana and Andrew P. King},
year = {2020},
doi = {10.1007/978-3-030-68107-4_1},
url = {https://doi.org/10.1007/978-3-030-68107-4_1},
researchr = {https://researchr.org/publication/ByrneCMK20},
cites = {0},
citedby = {0},
pages = {3-13},
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},
}