Cogninet: An Interpretable Deep Learning Approach for Staging Alzheimer's Disease Using Multi-Class MRI Data - Top-Institutions - MDSpire

Cogninet: An Interpretable Deep Learning Approach for Staging Alzheimer's Disease Using Multi-Class MRI Data

  • By

  • Treeve White

  • Sareh Rowlands

  • April 17, 2026

  • 0 min

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Top Institutions in Neurology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Neurology
    • Neuroimaging
    • Artificial Intelligence in Medicine

  • #2

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Neurology
    • Neuroimaging
    • Neurodegenerative Disease Research

  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Neurology
    • Biomedical Engineering
    • Artificial Intelligence

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Neurology
    • Neuroimaging
    • Computational Neuroscience

  • #5

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Neurology
    • Artificial Intelligence
    • Radiology

Original Source(s)

Cogninet: An Interpretable Deep Learning Approach for Staging Alzheimer's Disease Using Multi-Class MRI Data

  • by Treeve White, Sareh Rowlands

  • April 17, 2026

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