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Foundation models for fast, label-free detection of glioma infiltration

Author

Listed:
  • Akhil Kondepudi

    (University of Michigan
    University of Michigan)

  • Melike Pekmezci

    (San Francisco)

  • Xinhai Hou

    (University of Michigan
    University of Michigan)

  • Katie Scotford

    (San Francisco)

  • Cheng Jiang

    (University of Michigan
    University of Michigan)

  • Akshay Rao

    (University of Michigan)

  • Edward S. Harake

    (University of Michigan)

  • Asadur Chowdury

    (University of Michigan)

  • Wajd Al-Holou

    (University of Michigan)

  • Lin Wang

    (University of Michigan)

  • Aditya Pandey

    (University of Michigan)

  • Pedro R. Lowenstein

    (University of Michigan)

  • Maria G. Castro

    (University of Michigan)

  • Lisa Irina Koerner

    (Medical University Vienna)

  • Thomas Roetzer-Pejrimovsky

    (Medical University of Vienna
    Medical University Vienna)

  • Georg Widhalm

    (Medical University Vienna)

  • Sandra Camelo-Piragua

    (University of Michigan)

  • Misha Movahed-Ezazi

    (Rutgers University)

  • Daniel A. Orringer

    (New York University)

  • Honglak Lee

    (University of Michigan)

  • Christian Freudiger

    (Inc.)

  • Mitchel Berger

    (San Francisco)

  • Shawn Hervey-Jumper

    (San Francisco)

  • Todd Hollon

    (University of Michigan
    University of Michigan)

Abstract

A critical challenge in glioma treatment is detecting tumour infiltration during surgery to achieve safe maximal resection1–3. Unfortunately, safely resectable residual tumour is found in the majority of patients with glioma after surgery, causing early recurrence and decreased survival4–6. Here we present FastGlioma, a visual foundation model for fast (

Suggested Citation

  • Akhil Kondepudi & Melike Pekmezci & Xinhai Hou & Katie Scotford & Cheng Jiang & Akshay Rao & Edward S. Harake & Asadur Chowdury & Wajd Al-Holou & Lin Wang & Aditya Pandey & Pedro R. Lowenstein & Maria, 2025. "Foundation models for fast, label-free detection of glioma infiltration," Nature, Nature, vol. 637(8045), pages 439-445, January.
    • Handle: RePEc:nat:nature:v:637:y:2025:i:8045:d:10.1038_s41586-024-08169-3
    DOI: 10.1038/s41586-024-08169-3
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