Bálint Magyar, Márton Tokodi, András Soós, Máté Tolvaj, Bálint Károly Lakatos, Alexandra Fábián, Elena Surkova, Béla Merkely, Attila Kovács, András Horváth. RVENet: A Large Echocardiographic Dataset for the Deep Learning-Based Assessment of Right Ventricular Function. In Leonid Karlinsky, Tomer Michaeli, Ko Nishino, editors, Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part III. Volume 13803 of Lecture Notes in Computer Science, pages 569-583, Springer, 2022. [doi]
@inproceedings{MagyarTSTLFSMKH22,
title = {RVENet: A Large Echocardiographic Dataset for the Deep Learning-Based Assessment of Right Ventricular Function},
author = {Bálint Magyar and Márton Tokodi and András Soós and Máté Tolvaj and Bálint Károly Lakatos and Alexandra Fábián and Elena Surkova and Béla Merkely and Attila Kovács and András Horváth},
year = {2022},
doi = {10.1007/978-3-031-25066-8_33},
url = {https://doi.org/10.1007/978-3-031-25066-8_33},
researchr = {https://researchr.org/publication/MagyarTSTLFSMKH22},
cites = {0},
citedby = {0},
pages = {569-583},
booktitle = {Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part III},
editor = {Leonid Karlinsky and Tomer Michaeli and Ko Nishino},
volume = {13803},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-25066-8},
}