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      <dc:title>Editorial: Deep Learning in Aging Neuroscience</dc:title>
      <dc:creator>Ramírez Pérez De Inestrosa, Javier</dc:creator>
      <dc:creator>Gorriz Sáez, Juan Manuel</dc:creator>
      <dc:subject>Deep learning</dc:subject>
      <dc:subject>Convolutional Neural Networks (CNNs)</dc:subject>
      <dc:subject>Brain age estimation</dc:subject>
      <dc:subject>Neurodegenerative diseases</dc:subject>
      <dc:subject>Automated diagnosis</dc:subject>
      <dc:subject>Brain image segmentation</dc:subject>
      <dc:date>2021-02-11T12:22:51Z</dc:date>
      <dc:date>2021-02-11T12:22:51Z</dc:date>
      <dc:date>2020</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Ramírez J, Górriz JM, Ortiz A, Cole JH and Dyrba M (2020) Editorial: Deep Learning in Aging Neuroscience. Front. Neuroinform. 14:573974. doi: 10.3389/fninf.2020.573974</dc:identifier>
      <dc:identifier>http://hdl.handle.net/10481/66468</dc:identifier>
      <dc:identifier>10.3389/fninf.2020.573974</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by/3.0/es/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Atribución 3.0 España</dc:rights>
      <dc:publisher>FRONTIERS MEDIA SA</dc:publisher>
   </ow:Publication>
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