A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRA

Mitsutaka Nemoto, Naoto Hayashi, Shouhei Hanaoka, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Kuni Ohtomo. A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRA. In Georgia D. Tourassi, Samuel G. Armato III, editors, Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February - 3 March 2016. Volume 9785 of SPIE Proceedings, SPIE, 2016. [doi]

@inproceedings{NemotoHHNMYO16,
  title = {A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRA},
  author = {Mitsutaka Nemoto and Naoto Hayashi and Shouhei Hanaoka and Yukihiro Nomura and Soichiro Miki and Takeharu Yoshikawa and Kuni Ohtomo},
  year = {2016},
  doi = {10.1117/12.2216832},
  url = {https://doi.org/10.1117/12.2216832},
  researchr = {https://researchr.org/publication/NemotoHHNMYO16},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February - 3 March 2016},
  editor = {Georgia D. Tourassi and Samuel G. Armato III},
  volume = {9785},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510600201},
}