@inproceedings{conf/miccai/UthoffASL20,
  added-at = {2020-10-05T00:00:00.000+0200},
  author = {Uthoff, Johanna and Alabed, Samer and Swift, Andrew J. and Lu, Haiping},
  biburl = {https://www.bibsonomy.org/bibtex/2e8851b1f6c4a45af63a6eb5332ca89cf/dblp},
  booktitle = {MICCAI (2)},
  crossref = {conf/miccai/2020-2},
  editor = {Martel, Anne L. and Abolmaesumi, Purang and Stoyanov, Danail and Mateus, Diana and Zuluaga, Maria A. and Zhou, S. Kevin and Racoceanu, Daniel and Joskowicz, Leo},
  ee = {https://doi.org/10.1007/978-3-030-59713-9_25},
  interhash = {eb8d96829f6e258fee4c5b97b5b59fde},
  intrahash = {e8851b1f6c4a45af63a6eb5332ca89cf},
  isbn = {978-3-030-59713-9},
  keywords = {dblp},
  pages = {253-262},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2020-10-06T11:35:00.000+0200},
  title = {Geodesically Smoothed Tensor Features for Pulmonary Hypertension Prognosis Using the Heart and Surrounding Tissues.},
  url = {http://dblp.uni-trier.de/db/conf/miccai/miccai2020-2.html#UthoffASL20},
  volume = 12262,
  year = 2020
}

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