Predicting post-surgical functional status in high-grade glioma with resting state fMRI and machine learning - Poll - MDSpire

Predicting post-surgical functional status in high-grade glioma with resting state fMRI and machine learning

  • By

  • Patrick H. Luckett

  • Michael O. Olufawo

  • Ki Yun Park

  • Bidhan Lamichhane

  • Donna Dierker

  • Gabriel Trevino Verastegui

  • John J. Lee

  • Peter Yang

  • Albert Kim

  • Omar H. Butt

  • Milan G. Chheda

  • Abraham Z. Snyder

  • Joshua S. Shimony

  • Eric C. Leuthardt

  • May 24, 2024

  • 0 min

Share

Original Source(s)

Predicting post-surgical functional status in high-grade glioma with resting state fMRI and machine learning

  • by Patrick H. Luckett, Michael O. Olufawo, Ki Yun Park, Bidhan Lamichhane, Donna Dierker, Gabriel Trevino Verastegui, John J. Lee, Peter Yang, Albert Kim, Omar H. Butt, Milan G. Chheda, Abraham Z. Snyder, Joshua S. Shimony, Eric C. Leuthardt

  • May 24, 2024

Related Content

Research progress in imaging detection of brain metastases

A differentiated thyroid carcinoma-specific graded prognostic assessment for brain metastases: derivation in a 10,306-patient cohort and external validation

Challenges and Utilization of Immune Checkpoint Inhibitors in the Treatment of Lung Cancer