Daniele M. Papetti, Kirsten van Abeelen, Rhodri H. Davies, Roberto Menè, Francesca Heilbron, Francesco P. Perelli, Jessica Artico, Andreas Seraphim, James C. Moon, Gianfranco Parati, Hui Xue, Peter Kellman, Luigi P. Badano, Daniela Besozzi, Marco S. Nobile, Camilla Torlasco. An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar. Computer Methods and Programs in Biomedicine, 229:107321, February 2023. [doi]
@article{PapettiADMHPASMPXKBBNT23,
title = {An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar},
author = {Daniele M. Papetti and Kirsten van Abeelen and Rhodri H. Davies and Roberto Menè and Francesca Heilbron and Francesco P. Perelli and Jessica Artico and Andreas Seraphim and James C. Moon and Gianfranco Parati and Hui Xue and Peter Kellman and Luigi P. Badano and Daniela Besozzi and Marco S. Nobile and Camilla Torlasco},
year = {2023},
month = {February},
doi = {10.1016/j.cmpb.2022.107321},
url = {https://doi.org/10.1016/j.cmpb.2022.107321},
researchr = {https://researchr.org/publication/PapettiADMHPASMPXKBBNT23},
cites = {0},
citedby = {0},
journal = {Computer Methods and Programs in Biomedicine},
volume = {229},
pages = {107321},
}