Exploring Hippocampal Asymmetrical Features from Magnetic Resonance Images for the Classification of Alzheimer's Disease

Italo Antonio Duarte de Oliveira, Katia Maria Poloni, Ricardo José Ferrari. Exploring Hippocampal Asymmetrical Features from Magnetic Resonance Images for the Classification of Alzheimer's Disease. In Alba García Seco de Herrera, Alejandro Rodríguez González, K. C. Santosh, Zelalem Temesgen, Bridget Kane, Paolo Soda, editors, 33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020, Rochester, MN, USA, July 28-30, 2020. pages 59-64, IEEE, 2020. [doi]

@inproceedings{OliveiraPF20,
  title = {Exploring Hippocampal Asymmetrical Features from Magnetic Resonance Images for the Classification of Alzheimer's Disease},
  author = {Italo Antonio Duarte de Oliveira and Katia Maria Poloni and Ricardo José Ferrari},
  year = {2020},
  doi = {10.1109/CBMS49503.2020.00019},
  url = {https://doi.org/10.1109/CBMS49503.2020.00019},
  researchr = {https://researchr.org/publication/OliveiraPF20},
  cites = {0},
  citedby = {0},
  pages = {59-64},
  booktitle = {33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020, Rochester, MN, USA, July 28-30, 2020},
  editor = {Alba García Seco de Herrera and Alejandro Rodríguez González and K. C. Santosh and Zelalem Temesgen and Bridget Kane and Paolo Soda},
  publisher = {IEEE},
  isbn = {978-1-7281-9429-5},
}