BibTeX record conf/eccv/MagyarTSTLFSMKH22

download as .bib file

@inproceedings{DBLP:conf/eccv/MagyarTSTLFSMKH22,
  author       = {B{\'{a}}lint Magyar and
                  M{\'{a}}rton Tokodi and
                  Andr{\'{a}}s So{\'{o}}s and
                  M{\'{a}}t{\'{e}} Tolvaj and
                  B{\'{a}}lint K{\'{a}}roly Lakatos and
                  Alexandra F{\'{a}}bi{\'{a}}n and
                  Elena Surkova and
                  B{\'{e}}la Merkely and
                  Attila Kov{\'{a}}cs and
                  Andr{\'{a}}s Horv{\'{a}}th},
  editor       = {Leonid Karlinsky and
                  Tomer Michaeli and
                  Ko Nishino},
  title        = {RVENet: {A} Large Echocardiographic Dataset for the Deep Learning-Based
                  Assessment of Right Ventricular Function},
  booktitle    = {Computer Vision - {ECCV} 2022 Workshops - Tel Aviv, Israel, October
                  23-27, 2022, Proceedings, Part {III}},
  series       = {Lecture Notes in Computer Science},
  volume       = {13803},
  pages        = {569--583},
  publisher    = {Springer},
  year         = {2022},
  url          = {https://doi.org/10.1007/978-3-031-25066-8\_33},
  doi          = {10.1007/978-3-031-25066-8\_33},
  timestamp    = {Tue, 21 Feb 2023 17:16:38 +0100},
  biburl       = {https://dblp.org/rec/conf/eccv/MagyarTSTLFSMKH22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics