Using deep neural networks along with dimensionality reduction techniques to assist the diagnosis of neurodegenerative disorders

  1. Segovia, F 1
  2. Górriz, J M 1
  3. Ramírez, J 1
  4. Martinez-Murcia, F J 1
  5. García-Pérez, M 1
  1. 1 Department of Signal Theory, Networking and Communications, University of Granada, Spain
Revista:
Logic Journal of the IGPL

ISSN: 1367-0751 1368-9894

Año de publicación: 2018

Tipo: Artículo

DOI: 10.1093/JIGPAL/JZY026 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Logic Journal of the IGPL

Referencias bibliográficas

  • Abadi, Software available from https://www.tensorflow.org/
  • Duin, (2000), In 15th International Conference on Pattern Recognition, pp. 1
  • Foster, (2007), Brain, 130, pp. 2616, 10.1093/brain/awm177
  • Friston, (2006), Statistical Parametric Mapping: The Analysis of Functional Brain Images
  • K. Friston and K.Stephan. Chapter 03 - Modelling brain responses. In Statistical Parametric Mapping, Karl Friston, John Ashburner, Stefan Kiebel, Thomas Nichols and William Penny, eds, pp. 32–45. Academic Press, London, 2007.
  • Gilman, (2008), Neurology, 71, pp. 670, 10.1212/01.wnl.0000324625.00404.15
  • Górriz, (2017), IEEE Access, 5, pp. 11468, 10.1109/ACCESS.2017.2714579
  • Gorriz, (2017), Expert Systems with Applications, 90, pp. 40, 10.1016/j.eswa.2017.08.006
  • Hughes, (2002), Brain, 125, pp. 861, 10.1093/brain/awf080
  • Illán, (2012), Medical Physics, 39, pp. 5971, 10.1118/1.4742055
  • Koch, (2005), Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine, 46, pp. 1109
  • la Fougère, (2010), Journal of Nuclear Medicine, 51, pp. 581, 10.2967/jnumed.109.071811
  • Lee, (1999), Nature, 401, pp. 44565, 10.1038/44565
  • Litvan, (1996), Neurology, 47, pp. 1, 10.1212/WNL.47.1.1
  • Lopez, (2009), Electronics Letters, 45, pp. 389, 10.1049/el.2009.0176
  • Martinez-Murcia, (2017), Natural and Artificial Computation for Biomedicine and Neuroscience, pp. 324, 10.1007/978-3-319-59740-9_32
  • Murray, (2013), pp. 439
  • Padilla, (2010), Neuroscience Letters, 479, pp. 192, 10.1016/j.neulet.2010.05.047
  • Pastur-Romay, (2016), Deep artificial neural networks and neuromorphic chips for big data analysis
  • Pedregosa, (2011), Journal of Machine Learning Research, pp. 2825
  • Saxena, (1998), pp. 623
  • F. Segovia , C.Bastin, E.Salmon, J. M.Górriz, J.Ramírez and C.Phillips. Combining PET images and neuropsychological test data for automatic diagnosis of Alzheimer's disease. In PLoS ONE, 9, e88687, 2014. doi:10.1371/journal.pone.0088687.
  • Segovia, Proceeding of SPIE Medical Imaging 2017, pp. 101342B
  • Segovia, (2017), Frontiers in Neuroinformatics, 10.3389/fninf.2017.00023
  • Google’s latest machine learning system, open sourced for everyone
  • Towey, (2011), Nuclear Medicine Communications, pp. 699
  • Trambaiolli, (2011), Clinical EEG and Neuroscience, 42, pp. 160, 10.1177/155005941104200304
  • Turk, (1991), Journal of Cognitive Neuroscience, 3, pp. 71, 10.1162/jocn.1991.3.1.71