2 papers
stat.AP2025
Probabilistic approach to longitudinal response prediction: application to radiomics from brain cancer imaging
Isabella Cama, Michele Piana, Cristina Campi +1
Longitudinal imaging analysis tracks disease progression and treatment response over time, providing dynamic insights into treatment efficacy and disease evolution. Radiomic featur…
stat.AP2025
Segmentation variability and radiomics stability for predicting Triple-Negative Breast Cancer subtype using Magnetic Resonance Imaging
Isabella Cama, Alejandro Guzmán, Cristina Campi +4
Most papers caution against using predictive models for disease stratification based on unselected radiomic features, as these features are affected by contouring variability. Inst…