Editorial: Deep Learning in Aging Neuroscience

Javier Ramírez; Juan M Górriz; Andrés Ortiz; James H Cole; Martin Dyrba

doi:10.3389/fninf.2020.573974

Editorial: Deep Learning in Aging Neuroscience

Front Neuroinform. 2020 Oct 26:14:573974. doi: 10.3389/fninf.2020.573974. eCollection 2020.

Authors

Javier Ramírez¹, Juan M Górriz¹, Andrés Ortiz², James H Cole^{3

4}, Martin Dyrba⁵

Affiliations

¹ Department Signal Theory, Networking and Communications, University of Granada, Granada, Spain.
² Department of Communications Engineering, University of Málaga, Málaga, Spain.
³ Department of Computer Science, Centre for Medical Image Computing, University College London, London, United Kingdom.
⁴ Dementia Research Centre, Institute of Neurology, University College London, London, United Kingdom.
⁵ German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.

No abstract available

Keywords: automated diagnosis; brain age estimation; brain image segmentation; convolutional neural networks; deep learning; neurodegenerative diseases.

Publication types

Editorial