1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
Enhancement Pattern Mapping for Detection of Hepatocellular Carcinoma in Patients with Cirrhosis
Newsha Nikzad, David Thomas Fuentes, Millicent Roach +9
Background and Aims: Limited methods exist to accurately characterize risk of malignant progression of liver lesions in patients undergoing surveillance for hepatocellular carcinom…