Project

Mobilità ITA-MEX

Sviluppo e ottimizzazione di metodi di machine-learning per la costruzione di modelli predittivi radiomici da immagini oncologiche
Application Areas
Research Areas
Research Lines
Staff
WEBSITE

ITB Principal Investigator

Name

Sviluppo e ottimizzazione di metodi di machine-learning per la costruzione di modelli predittivi radiomici da immagini oncologiche

Acronym

Mobilità ITA-MEX

Location

Segrate

Start Date

2025

End Date

2027

Funder

Ministero degli Affari Esteri e della Cooperazione Internazionale (MAECI) and Mexican Agency for International Development Cooperation (AMEXCID)

Partners

Dr. Wilfrido Gomez-Flores, Centro de Investigación y de Estudios Avanzados del IPN (CINVESTAV), Mexico

This is a mobility project between CNR-ITB and CINVESTAV (Mexico), within the framework of the Scientific and Technological Cooperation Agreement between the Government of the Republic of Italy and the Government of the United Mexican States. This project aims to strengthen collaboration between the Italian and Mexican research groups through the development, optimization, and validation of machine learning strategies for building robust and reliable radiomics models in oncology. In this regard, machine learning approaches proposed in contexts other than biomedical imaging will also be considered, which could be adapted to radiomics prediction models.
  • Gomez-Flores W, Scalco E, Arce F. A 3-D Ranklet-based Texture Analysis Approach to Classify Breast Tumors in DCE-MRI Volumes. Biomedical Signal Processing And Control. 2025. https://doi.org/10.1016/j.bspc.2025.108085
  • Scalco E, Gomez-Flores W, Rizzo G. A Genetic Programming Approach to Radiomic-based Feature Construction for Survival Prediction in Non-Small Cell Lung Cancer. Applied Sciences. 2024. 14(16), 6923; https://doi.org/10.3390/app14166923