4 papers
Spatially-informed Image Harmonization Results in Improved Scanner Effect Removal and Prediction
Alec Reinhardt, Yajie Liu, Suprateek Kundu
We propose a novel data harmonization approach known as Tensor-ComBat (TC) for structural neuroimaging data. Tensor-Combat is a novel spatially aware harmonization method that aims…
Risk Prediction in Cancer Imaging Using Enriched Radiomics Features
Alec Reinhardt, Tsung-Hung Yao, Raven Hollis +10
Background: We aim to develop enriched radiomics features that integrate classical structural radiomics with novel functional radiomics derived from liver MRI for diagnosis and ris…
Heterogeneous Image-based Classification Using Distributional Data Analysis
Alec Reinhardt, Newsha Nikzad, Raven J. Hollis +9
Diagnostic imaging has gained prominence as potential biomarkers for early detection and diagnosis in a diverse array of disorders including cancer. However, existing methods routi…
Bayesian longitudinal tensor response regression for modeling neuroplasticity
Suprateek Kundu, Alec Reinhardt, Serena Song +4
A major interest in longitudinal neuroimaging studies involves investigating voxel-level neuroplasticity due to treatment and other factors across visits. However, traditional voxe…