Deep learning for intracranial hemorrhage detection and classification in brain CT scans: a systematic review and hybrid model approach - Top-Institutions - MDSpire

Deep learning for intracranial hemorrhage detection and classification in brain CT scans: a systematic review and hybrid model approach

  • By

  • Harshith V.

  • Bhargavram Athray

  • Likhitha T. Murthy

  • Samyukta Joshi

  • Ameena Amreen Ayoob

  • Sai Chakith M. R.

  • Pruthvish Reddy

  • Ranjith Raj

  • Vikram Patil

  • Deepak Benny

  • Shiva Prasad Kollur

  • Kasim Sakran Abass

  • Victor Stupin

  • Sushma Pradeep

  • Chandan Shivamallu

  • Ekaterina Silina

  • April 7, 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

    • Neuroradiology
    • Medical Imaging AI
    • Neurology

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Neuroradiology
    • Biomedical Engineering
    • Artificial Intelligence

  • #3

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Neuroradiology
    • Computer Science
    • Medical AI

  • #4

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Neuroradiology
    • Neurology
    • Medical Imaging AI

  • #5

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

    Los Angeles, CA

    Key Differentiators

    • Neuroradiology
    • Biomedical Informatics
    • Artificial Intelligence

Original Source(s)

Deep learning for intracranial hemorrhage detection and classification in brain CT scans: a systematic review and hybrid model approach

  • by Harshith V., Bhargavram Athray, Likhitha T. Murthy, Samyukta Joshi, Ameena Amreen Ayoob, Sai Chakith M. R., Pruthvish Reddy, Ranjith Raj, Vikram Patil, Deepak Benny, Shiva Prasad Kollur, Kasim Sakran Abass, Victor Stupin, Sushma Pradeep, Chandan Shivamallu, Ekaterina Silina

  • April 7, 2026

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