Fully automated deep learning-based localization and segmentation of the locus coeruleus in aging and Parkinson’s disease using neuromelanin-sensitive MRI - Top-Institutions - MDSpire

Fully automated deep learning-based localization and segmentation of the locus coeruleus in aging and Parkinson’s disease using neuromelanin-sensitive MRI

  • By

  • Max Dünnwald

  • Philipp Ernst

  • Emrah Düzel

  • Klaus Tönnies

  • Matthew J. Betts

  • Steffen Oeltze-Jafra

  • November 19, 2021

  • 0 min

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Top Institutions in Surgery

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Neuroimaging
    • Neurology
    • Artificial Intelligence in Medicine

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Neuroscience
    • Neuroimaging
    • Machine Learning

  • #3

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Neurology
    • Neuroimaging
    • Computational Neuroscience

  • #4

    University of Oxford
    University of Oxford

    Oxford, UK

    Key Differentiators

    • Neuroscience
    • Neuroimaging
    • Artificial Intelligence

  • #5

    Karolinska Institutet
    Karolinska Institutet

    Stockholm, Sweden

    Key Differentiators

    • Neuroimaging
    • Neurology
    • Machine Learning

Original Source(s)

Fully automated deep learning-based localization and segmentation of the locus coeruleus in aging and Parkinson’s disease using neuromelanin-sensitive MRI

  • by Max Dünnwald, Philipp Ernst, Emrah Düzel, Klaus Tönnies, Matthew J. Betts, Steffen Oeltze-Jafra

  • November 19, 2021

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