Attention-Enhanced U-Net (AEU-Net): A Framework Utilizing Attention Mechanisms for Accurate Brain Tumor Segmentation with Multimodal MRI - Top-Institutions - MDSpire

Attention-Enhanced U-Net (AEU-Net): A Framework Utilizing Attention Mechanisms for Accurate Brain Tumor Segmentation with Multimodal MRI

  • By

  • Md. Alamin Talukder

  • Mehnaz Tabassum

  • Majdi Khalid

  • March 1, 2026

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Neuro-oncology
    • Radiology
    • Medical Imaging
    • Artificial Intelligence

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Neurosurgery
    • Radiology
    • Biomedical Engineering
    • AI in Medicine

  • #3

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Radiology
    • Neuroscience
    • Computer Science
    • Machine Learning

  • #4

    University of Pennsylvania
    University of Pennsylvania

    Philadelphia, PA

    Key Differentiators

    • Neuro-oncology
    • Radiology
    • Biomedical Informatics
    • AI

  • #5

    University of California, Los Angeles (UCLA)
    University of California, Los Angeles (UCLA)

    Los Angeles, CA

    Key Differentiators

    • Radiology
    • Neurosurgery
    • Biomedical Engineering
    • AI in Imaging

Original Source(s)

Attention-Enhanced U-Net (AEU-Net): A Framework Utilizing Attention Mechanisms for Accurate Brain Tumor Segmentation with Multimodal MRI

  • by Md. Alamin Talukder, Mehnaz Tabassum, Majdi Khalid

  • March 1, 2026

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