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stat.AP2026
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…
stat.AP2024
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…