Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models

Alain Ryser, Laura Manduchi, Fabian Laumer, Holger Michel, Sven Wellmann, Julia E. Vogt. Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models. In Zachary C. Lipton, Rajesh Ranganath, Mark P. Sendak, Michael W. Sjoding, Serena Yeung, editors, Proceedings of the Machine Learning for Healthcare Conference, MLHC 2022, 5-6 August 2022, Durham, NC, USA. Volume 182 of Proceedings of Machine Learning Research, pages 425-458, PMLR, 2022. [doi]

@inproceedings{RyserMLMWV22,
  title = {Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models},
  author = {Alain Ryser and Laura Manduchi and Fabian Laumer and Holger Michel and Sven Wellmann and Julia E. Vogt},
  year = {2022},
  url = {https://proceedings.mlr.press/v182/ryser22a.html},
  researchr = {https://researchr.org/publication/RyserMLMWV22},
  cites = {0},
  citedby = {0},
  pages = {425-458},
  booktitle = {Proceedings of the Machine Learning for Healthcare Conference, MLHC 2022, 5-6 August 2022, Durham, NC, USA},
  editor = {Zachary C. Lipton and Rajesh Ranganath and Mark P. Sendak and Michael W. Sjoding and Serena Yeung},
  volume = {182},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}