5 Result(s)

Article

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)

Article

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)

Article

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)

Article

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)

Article

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

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