Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework

Islem Rekik, Gang Li, Guorong Wu, Weili Lin, Dinggang Shen. Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework. In Guorong Wu, Pierrick Coupé, Yiqiang Zhan, Brent C. Munsell, Daniel Rueckert, editors, Patch-Based Techniques in Medical Imaging - First International Workshop, Patch-MI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers. Volume 9467 of Lecture Notes in Computer Science, pages 197-204, Springer, 2015. [doi]

@inproceedings{RekikLWLS15,
  title = {Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework},
  author = {Islem Rekik and Gang Li and Guorong Wu and Weili Lin and Dinggang Shen},
  year = {2015},
  doi = {10.1007/978-3-319-28194-0_24},
  url = {http://dx.doi.org/10.1007/978-3-319-28194-0_24},
  researchr = {https://researchr.org/publication/RekikLWLS15},
  cites = {0},
  citedby = {0},
  pages = {197-204},
  booktitle = {Patch-Based Techniques in Medical Imaging - First International Workshop, Patch-MI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers},
  editor = {Guorong Wu and Pierrick Coupé and Yiqiang Zhan and Brent C. Munsell and Daniel Rueckert},
  volume = {9467},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-28193-3},
}