13 citations · 13 across the 3 of their papers we have counts for
3 papers
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…
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…
Machine learning as a flaring storm warning machine: Was a warning machine for the September 2017 solar flaring storm possible?
Federico Benvenuto, Cristina Campi, Anna Maria Massone +1
Machine learning is nowadays the methodology of choice for flare forecasting and supervised techniques, in both their traditional and deep versions, are becoming the most frequentl…