A knowledge-based framework for robust segmentation of high-resolution impedance manometry catheters in video-fluoroscopy images - Top-Institutions - MDSpire

A knowledge-based framework for robust segmentation of high-resolution impedance manometry catheters in video-fluoroscopy images

  • By

  • Manuel Maria Loureiro da Rocha

  • Dionne S.Brandsma

  • Lisette van der Molen

  • Maarten J. A. van Alphen

  • Michiel W. M. van den Brekel

  • Françoise J. Siepel

  • April 4, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Otolaryngology
    • Gastroenterology
    • Radiology
    • Speech-Language Pathology

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Otolaryngology
    • Biomedical Engineering
    • Radiology

  • #3

    University of Pittsburgh Medical Center (UPMC)
    University of Pittsburgh Medical Center (UPMC)

    Pittsburgh, PA

    Key Differentiators

    • Otolaryngology
    • Speech-Language Pathology
    • Radiology

  • #4

    University of California, San Diego (UCSD)
    University of California, San Diego (UCSD)

    San Diego, CA

    Key Differentiators

    • Otolaryngology
    • Biomedical Engineering
    • Speech-Language Pathology

Original Source(s)

A knowledge-based framework for robust segmentation of high-resolution impedance manometry catheters in video-fluoroscopy images

  • by Manuel Maria Loureiro da Rocha, Dionne S.Brandsma, Lisette van der Molen, Maarten J. A. van Alphen, Michiel W. M. van den Brekel, Françoise J. Siepel

  • April 4, 2026

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