Glioblastoma (GBM) is the most common primary adult intracranial malignancy and carries a
dismal prognosis despite an aggressive multimodal treatment regimen that consists of …

Purpose To evaluate the prognostic and predictive value of surface-derived imaging
biomarkers obtained from contrast material–enhanced volumetric T1-weighted pretreatment …

Radiomics involves the study of tumor images to identify quantitative markers explaining
cancer heterogeneity. The predominant approach is to extract hundreds to thousands of …

Recent advances in types and extant of medical imaging technologies has led to
proliferation of multimodal quantitative imaging data in cancer. Quantitative medical imaging …

Abstract The Euler Curve Transform (ECT) of Turner et al. is a complete invariant of an
embedded simplicial complex, which is amenable to statistical analysis. We generalize the …

Diabetic retinopathy (DR) is a severe retinal disorder that can lead to vision loss, however,
its underlying mechanism has not been fully understood. Previous studies have taken …

We propose a statistical framework to analyze radiological magnetic resonance imaging
(MRI) and genomic data to identify the underlying radiogenomic associations in lower grade …

All of the details in the text which were referenced as Supplementary Material are provided
in this file. This includes details of:(a) computation of the Karcher mean,(b) full posterior …

Integrative analyses based on statistically relevant associations between genomics and a
wealth of intermediary phenotypes (such as imaging) provide vital insights into their clinical …

Health warning labels have been found to increase awareness of the harmful effects of
tobacco products. An eye tracking study was conducted to determine the optimal placement …