Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets

Marc-Andre Schulz; B.T. Thomas Yeo; Joshua T. Vogelstein; Janaina Mourao-Miranada; Jakob N. Kather; Konrad Kording; Blake Richards; Danilo Bzdok

doi:10.1101/757054

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Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets

Marc-Andre Schulz, B.T. Thomas Yeo, Joshua T. Vogelstein, Janaina Mourao-Miranada, Jakob N. Kather, Konrad Kording, View ORCID ProfileBlake Richards, Danilo Bzdok

doi: https://doi.org/10.1101/757054

Marc-Andre Schulz

1Department of Psychiatry, Psychotherapy, and Psychosomatics, Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen University, Aachen, Germany

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B.T. Thomas Yeo

2Department of Electrical and Computer Engineering, ASTAR-NUS Clinical Imaging Research Centre, Singapore

3Institute for Neurotechnology and Memory Networks Program, National University of Singapore, Singapore

4Centre for Cognitive Neuroscience, Duke-NUS Medical School, Singapore

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Joshua T. Vogelstein

5Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, Baltimore, USA

6Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, USA

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Janaina Mourao-Miranada

7Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, UK

8Centre for Medical Image Computing, Department of Computer Science, University College London, UK

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Jakob N. Kather

9Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany

10German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany

11Applied Tumor Immunity, German Cancer Research Center (DKFZ), Heidelberg, Germany

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Konrad Kording

12Department of Neuroscience and Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania

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Blake Richards

13Department of Neurology and Neurosurgery, McGill University, Montréal, Québec, Canada

14School of Computer Science, McGill University, Montréal, Québec, Canada

15Canadian Institute for Advanced Research, Toronto, Ontario, Canada

16Mila, Montréal, Québec, Canada

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ORCID record for Blake Richards

Danilo Bzdok

1Department of Psychiatry, Psychotherapy, and Psychosomatics, Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen University, Aachen, Germany

17Neurospin, Commissariat à l’Energie Atomique (CEA) Saclay, Gif-sur-Yvette, France

18Parietal Team, Institut National de Recherche en Informatique et en Automatique (INRIA), France

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For correspondence: danilo.bzdok@rwth-aachen.de

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Posted September 06, 2019.

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Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets

Marc-Andre Schulz, B.T. Thomas Yeo, Joshua T. Vogelstein, Janaina Mourao-Miranada, Jakob N. Kather, Konrad Kording, Blake Richards, Danilo Bzdok

bioRxiv 757054; doi: https://doi.org/10.1101/757054

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Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets

Marc-Andre Schulz, B.T. Thomas Yeo, Joshua T. Vogelstein, Janaina Mourao-Miranada, Jakob N. Kather, Konrad Kording, Blake Richards, Danilo Bzdok

bioRxiv 757054; doi: https://doi.org/10.1101/757054

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