Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspective.
- DOI
- 10.1016/j.media.2026.104079
- Published
- 2026-04-22
- Container
- Med Image Anal
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.media.2026.104079,
title = {Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspective.},
author = {Sun X and Belmpas T and Senouf O and Abbé E and Frossard P and De Bruyne B and Auberson D and Muller O and Fournier S and Mahendiran T and Thanou D.},
year = {2026},
journal = {Med Image Anal},
doi = {10.1016/j.media.2026.104079},
url = {https://doi.org/10.1016/j.media.2026.104079}
}RIS
TY - JOUR TI - Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspective. AU - Sun X AU - Belmpas T AU - Senouf O AU - Abbé E AU - Frossard P AU - De Bruyne B AU - Auberson D AU - Muller O AU - Fournier S AU - Mahendiran T AU - Thanou D. PY - 2026 JO - Med Image Anal DO - 10.1016/j.media.2026.104079 UR - https://doi.org/10.1016/j.media.2026.104079 ER -
APA
X, S., T, B., O, S., E, A., P, F., B, D. B., D, A., O, M., S, F., T, M., & D., T. (2026). Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspective.. Med Image Anal. https://doi.org/10.1016/j.media.2026.104079
Source records
- europe-pmc · retrieved 2026-09-26T02:41:45.533Z