Evaluation of a deep learning segmentation tool to help detect spinal cord lesions from combined T2 and STIR acquisitions in people with multiple sclerosis - Top-Institutions - MDSpire

Evaluation of a deep learning segmentation tool to help detect spinal cord lesions from combined T2 and STIR acquisitions in people with multiple sclerosis

  • By

  • Baptiste Lodé

  • Burhan Rashid Hussein

  • Cédric Meurée

  • Ricky Walsh

  • Malo Gaubert

  • Nicolas Lassalle

  • Guilhem Courbon

  • Agathe Martin

  • Jeanne Le Bars

  • Françoise Durand-Dubief

  • Bertrand Bourre

  • Adil Maarouf

  • Olivier Outteryck

  • Clément Mehier

  • Alexandre Poulin

  • Camille Cathelineau

  • Jeremy Hong

  • Guillaume Criton

  • Sophie Motillon-Alonso

  • Augustin Lecler

  • Frédérique Charbonneau

  • Loïc Duron

  • Alexandre Bani-Sadr

  • Céline Delpierre

  • Jean-Christophe Ferré

  • Gilles Edan

  • François Cotton

  • Romain Casey

  • Francesca Galassi

  • Benoit Combès

  • Anne Kerbrat

  • April 4, 2025

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Neurology
    • Neuroradiology
    • Artificial Intelligence in Medical Imaging

  • #2

    Brigham and Women's Hospital / Harvard Medical School
    Brigham and Women's Hospital / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Neurology
    • Radiology
    • Biomedical Engineering

  • #3

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

    San Francisco, CA

    Key Differentiators

    • Neurology
    • Radiology
    • Neuroimaging

  • #4

    Institut du Cerveau - ICM (Brain and Spine Institute), Paris
    Institut du Cerveau - ICM (Brain and Spine Institute), Paris

    Paris, Île-de-France

    Key Differentiators

    • Neurology
    • Neuroradiology
    • Artificial Intelligence

  • #5

    University of Oxford
    University of Oxford

    Oxford, Oxfordshire

    Key Differentiators

    • Neurology
    • Radiology
    • Medical Imaging Informatics

Original Source(s)

Evaluation of a deep learning segmentation tool to help detect spinal cord lesions from combined T2 and STIR acquisitions in people with multiple sclerosis

  • by Baptiste Lodé, Burhan Rashid Hussein, Cédric Meurée, Ricky Walsh, Malo Gaubert, Nicolas Lassalle, Guilhem Courbon, Agathe Martin, Jeanne Le Bars, Françoise Durand-Dubief, Bertrand Bourre, Adil Maarouf, Olivier Outteryck, Clément Mehier, Alexandre Poulin, Camille Cathelineau, Jeremy Hong, Guillaume Criton, Sophie Motillon-Alonso, Augustin Lecler, Frédérique Charbonneau, Loïc Duron, Alexandre Bani-Sadr, Céline Delpierre, Jean-Christophe Ferré, Gilles Edan, François Cotton, Romain Casey, Francesca Galassi, Benoit Combès, Anne Kerbrat

  • April 4, 2025

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