RVENet: A Large Echocardiographic Dataset for the Deep Learning-Based Assessment of Right Ventricular Function

Bálint Magyar, Márton Tokodi, András Soós, Máté Tolvaj, Bálint Károly Lakatos, Alexandra Fábián, Elena Surkova, Béla Merkely, Attila Kovács, András Horváth

ECCVW 2022 pp. 569-583

doi:10.1007/978-3-031-25066-8_33 /eccvw/2022/magyar2022eccvw-rvenet/

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Cite

Text

Magyar et al. "RVENet: A Large Echocardiographic Dataset for the Deep Learning-Based Assessment of Right Ventricular Function." European Conference on Computer Vision Workshops, 2022. doi:10.1007/978-3-031-25066-8_33

Markdown

[Magyar et al. "RVENet: A Large Echocardiographic Dataset for the Deep Learning-Based Assessment of Right Ventricular Function." European Conference on Computer Vision Workshops, 2022.](https://mlanthology.org/eccvw/2022/magyar2022eccvw-rvenet/) doi:10.1007/978-3-031-25066-8_33

BibTeX

@inproceedings{magyar2022eccvw-rvenet,
  title     = {{RVENet: A Large Echocardiographic Dataset for the Deep Learning-Based Assessment of Right Ventricular Function}},
  author    = {Magyar, Bálint and Tokodi, Márton and Soós, András and Tolvaj, Máté and Lakatos, Bálint Károly and Fábián, Alexandra and Surkova, Elena and Merkely, Béla and Kovács, Attila and Horváth, András},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2022},
  pages     = {569-583},
  doi       = {10.1007/978-3-031-25066-8_33},
  url       = {https://mlanthology.org/eccvw/2022/magyar2022eccvw-rvenet/}
}