Area of research
Radiology, Nuclear Medicine and Imaging · Artificial Intelligence
Research interest
Research interests include Radiomics and Machine Learning in Medical Imaging, MRI in cancer diagnosis, AI in cancer detection, and Advanced MRI Techniques and Applications.
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update
Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning–Driven Clinical Decision Support Tool
Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: a multicenter breast cancer prospective study
Harmonization Strategies in Multicenter MRI-Based Radiomics
Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study
Deep learning for diabetic retinopathy detection and classification based on fundus images: A review
A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast cancer diagnosis: An initial effort to define resilience effects