Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials

Vamsi K. Ithapu, Vikas Singh, Ozioma Okonkwo, Sterling C. Johnson. Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials. In Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert D. Howe, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II. Volume 8674 of Lecture Notes in Computer Science, pages 470-478, Springer, 2014. [doi]

@inproceedings{IthapuSOJ14,
  title = {Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials},
  author = {Vamsi K. Ithapu and Vikas Singh and Ozioma Okonkwo and Sterling C. Johnson},
  year = {2014},
  doi = {10.1007/978-3-319-10470-6_59},
  url = {http://dx.doi.org/10.1007/978-3-319-10470-6_59},
  researchr = {https://researchr.org/publication/IthapuSOJ14},
  cites = {0},
  citedby = {0},
  pages = {470-478},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II},
  editor = {Polina Golland and Nobuhiko Hata and Christian Barillot and Joachim Hornegger and Robert D. Howe},
  volume = {8674},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-10469-0},
}