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Identification of magnetic resonance imaging features for the prediction of molecular profiles of newly diagnosed glioblastoma

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  1. Article

    Open Access

    Author Correction: Federated learning enables big data for rare cancer boundary detection

    Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller in Nature Communications (2023)

  2. Article

    Open Access

    Federated learning enables big data for rare cancer boundary detection

    Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging...

    Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller in Nature Communications (2022)

  3. Article

    Open Access

    EWSR1-BEND2 fusion defines an epigenetically distinct subtype of astroblastoma

    Calixto-Hope G. Lucas, Rohit Gupta, Jasper Wu, Kathan Shah in Acta Neuropathologica (2022)

  4. Article

    Open Access

    Author Correction: Topographic correlates of driver mutations and endogenous gene expression in pediatric diffuse midline gliomas and hemispheric high-grade gliomas

    Eve Kazarian, Asher Marks, ** Cui, Armine Darbinyan, Elizabeth Tong in Scientific Reports (2021)

  5. Article

    Open Access

    Topographic correlates of driver mutations and endogenous gene expression in pediatric diffuse midline gliomas and hemispheric high-grade gliomas

    We evaluate the topographic distribution of diffuse midline gliomas and hemispheric high-grade gliomas in children with respect to their normal gene expression patterns and pathologic driver mutation patterns....

    Eve Kazarian, Asher Marks, ** Cui, Armine Darbinyan, Elizabeth Tong in Scientific Reports (2021)

  6. Article

    Open Access

    A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas

    Glioblastoma is the most common malignant brain parenchymal tumor yet remains challenging to treat. The current standard of care—resection and chemoradiation—is limited in part due to the genetic heterogeneity...

    Evan Calabrese, Javier E. Villanueva-Meyer, Soonmee Cha in Scientific Reports (2020)

  7. Article

    Open Access

    Serial analysis of 3D H-1 MRSI for patients with newly diagnosed GBM treated with combination therapy that includes bevacizumab

    Interpretation of changes in the T1- and T2-weighted MR images from patients with newly diagnosed glioblastoma (GBM) treated with standard of care in conjunction with anti-angiogenic agents is complicated by p...

    Sarah J. Nelson, Yan Li, Janine M. Lupo, Marram Olson in Journal of Neuro-Oncology (2016)

  8. Article

    Open Access

    Adult-onset central nervous system hemophagocytic lymphohistiocytosis: a case report

    Hemophagocytic lymphohistiocytosis (HLH) is a clinical syndrome with both genetic and acquired causes characterized by elevated cytokine levels, hyperinflammation, and overactivation of lymphocytes and macroph...

    Daniel M. Pastula, Mark Burish, Gerald F. Reis, Andrew Bollen, Soonmee Cha in BMC Neurology (2015)

  9. Article

    Neuroimaging in neuro-oncology

    Neuroimaging of brain tumors has evolved from a strictly morphology-based discipline to one that encompasses function, physiology, and anatomy. This review outlines the current imaging standard for patients wi...

    Soonmee Cha in Neurotherapeutics (2009)

  10. Article

    Open Access

    Integration of preoperative anatomic and metabolic physiologic imaging of newly diagnosed glioma

    Purpose To integrate standard anatomic magnetic resonance imaging in conjunction with uniformly acquired physiologic imaging biomarkers of untreated glioma with different histological gra...

    Susan M. Chang, Sarah Nelson, Scott Vandenberg, Soonmee Cha in Journal of Neuro-Oncology (2009)