8 papers
PRESOL: a web-based computational setting for feature-based flare forecasting
Chiara Curletto, Paolo Massa, Valeria Tagliafico +4
Solar flares are the most explosive phenomena in the solar system and the main trigger of the events' chain that starts from Coronal Mass Ejections and leads to geomagnetic storms…
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…
DISARM++: Beyond scanner-free harmonization
Luca Caldera, Lara Cavinato, Alessio Cirone +9
Harmonization of T1-weighted MR images across different scanners is crucial for ensuring consistency in neuroimaging studies. This study introduces a novel approach to direct image…
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…
Localized FDG loss in lung cancer lesions
Davide Parodi, Edoardo Dighero, Giorgia Biddau +7
Purpose: Analysis of [18F]-Fluorodeoxyglucose (FDG) kinetics in cancer has been most often limited to the evaluation of the average uptake over relatively large volumes. Neverthele…
AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data
Michele Piana, Federico Benvenuto, Anna Maria Massone +6
AI-FLARES (Artificial Intelligence for the Analysis of Solar Flares Data) is a research project funded by the Agenzia Spaziale Italiana and by the Istituto Nazionale di Astrofisica…
Three-dimensional numerical schemes for the segmentation of the psoas muscle in X-ray computed tomography images
Giulio Paolucci, Isabella Cama, Cristina Campi +1
The analysis of the psoas muscle in morphological and functional imaging has proved to be an accurate approach to assess sarcopenia, i.e. a systemic loss of skeletal muscle mass an…
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics
Francesco Marchetti, Sabrina Guastavino, Cristina Campi +2
In many contexts, customized and weighted classification scores are designed in order to evaluate the goodness of the predictions carried out by neural networks. However, there exi…