Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI

Julian Krebs, Tommaso Mansi, Nicholas Ayache, Hervé Delingette. Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI. In Mihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li 0001, Alistair Young, Tommaso Mansi, Avan Suinesiaputra, editors, Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers. Volume 12009 of Lecture Notes in Computer Science, pages 176-185, Springer, 2019. [doi]

@inproceedings{KrebsMAD19,
  title = {Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI},
  author = {Julian Krebs and Tommaso Mansi and Nicholas Ayache and Hervé Delingette},
  year = {2019},
  doi = {10.1007/978-3-030-39074-7_19},
  url = {https://doi.org/10.1007/978-3-030-39074-7_19},
  researchr = {https://researchr.org/publication/KrebsMAD19},
  cites = {0},
  citedby = {0},
  pages = {176-185},
  booktitle = {Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers},
  editor = {Mihaela Pop and Maxime Sermesant and Oscar Camara and Xiahai Zhuang and Shuo Li 0001 and Alistair Young and Tommaso Mansi and Avan Suinesiaputra},
  volume = {12009},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-39074-7},
}