1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm
Lujia Wang, Hairong Wang, Fulvio D'Angelo +22
Glioblastoma (GBM) is one of the most aggressive and lethal human cancers. Intra-tumoral genetic heterogeneity poses a significant challenge for treatment. Biopsy is invasive, whic…
q-bio.NC2019
Sex differences in predicting fluid intelligence of adolescent brain from T1-weighted MRIs
Sara Ranjbar, Kyle W. Singleton, Lee Curtin +4
Fluid intelligence (Gf) has been defined as the ability to reason and solve previously unseen problems. Links to Gf have been found in magnetic resonance imaging (MRI) sequences su…