Information Theoretic Measurement of Blood Flow Complexity in Vessels and Aneurysms: Interlacing Complexity Index

Jose M. Pozo, Arjan J. Geers, Alejandro F. Frangi. Information Theoretic Measurement of Blood Flow Complexity in Vessels and Aneurysms: Interlacing Complexity Index. In Maxime Descoteaux, Lena Maier-Hein, Alfred Franz, Pierre Jannin, D. Louis Collins, Simon Duchesne, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II. Volume 10434 of Lecture Notes in Computer Science, pages 233-241, Springer, 2017. [doi]

@inproceedings{PozoGF17,
  title = {Information Theoretic Measurement of Blood Flow Complexity in Vessels and Aneurysms: Interlacing Complexity Index},
  author = {Jose M. Pozo and Arjan J. Geers and Alejandro F. Frangi},
  year = {2017},
  doi = {10.1007/978-3-319-66185-8_27},
  url = {https://doi.org/10.1007/978-3-319-66185-8_27},
  researchr = {https://researchr.org/publication/PozoGF17},
  cites = {0},
  citedby = {0},
  pages = {233-241},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II},
  editor = {Maxime Descoteaux and Lena Maier-Hein and Alfred Franz and Pierre Jannin and D. Louis Collins and Simon Duchesne},
  volume = {10434},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-66185-8},
}