Automated segmentation of head CT scans for computer-assisted craniomaxillofacial surgery applying a hierarchical patch-based stack of convolutional neural networks - Top-Institutions - MDSpire

Automated segmentation of head CT scans for computer-assisted craniomaxillofacial surgery applying a hierarchical patch-based stack of convolutional neural networks

  • By

  • David Steybe

  • Philipp Poxleitner

  • Marc Christian Metzger

  • Leonard Simon Brandenburg

  • Rainer Schmelzeisen

  • Fabian Bamberg

  • Phuong Hien Tran

  • Elias Kellner

  • Marco Reisert

  • Maximilian Frederik Russe

  • June 3, 2022

  • 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

    • Craniomaxillofacial Surgery
    • Radiology
    • Medical Imaging AI

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Craniomaxillofacial Surgery
    • Biomedical Engineering
    • Radiology

  • #3

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Radiology
    • Computer Science
    • Craniomaxillofacial Surgery

  • #4

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

    Los Angeles, CA

    Key Differentiators

    • Craniomaxillofacial Surgery
    • Radiology
    • Biomedical Informatics

  • #5

    Charité – Universitätsmedizin Berlin
    Charité – Universitätsmedizin Berlin

    Berlin, Berlin

    Key Differentiators

    • Craniomaxillofacial Surgery
    • Radiology
    • Medical Informatics

Original Source(s)

Automated segmentation of head CT scans for computer-assisted craniomaxillofacial surgery applying a hierarchical patch-based stack of convolutional neural networks

  • by David Steybe, Philipp Poxleitner, Marc Christian Metzger, Leonard Simon Brandenburg, Rainer Schmelzeisen, Fabian Bamberg, Phuong Hien Tran, Elias Kellner, Marco Reisert, Maximilian Frederik Russe

  • June 3, 2022

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