Paolo Zaffino - Publications

Security Analysis of a Federated Learning Framework for Medical Image-to-Image Translation.

Journal: Journal of medical systems

Published: April 24, 2026

Artificial Intelligence in Asthma and COPD: Current Status and Future Potential.

Journal: Journal of clinical medicine

Published: February 09, 2026

Analysis of CGM data in pregnant women through machine learning and mechanistic models.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 03, 2025

Modeling strategies for CGM data: A scoping review of mechanistic, machine learning, and hybrid approaches in diabetes management.

Journal: Computers in biology and medicine

Published: November 09, 2025

CT-based radiomics as a non-invasive virtual biopsy for high PD-L1 expression prediction in non-small cell lung cancer.

Journal: Cancer imaging : the official publication of the International Cancer Imaging Society

Published: November 01, 2025

hiPSCGEM01: A Genome-Scale Metabolic Model for Fibroblast-Derived Human iPSCs.

Journal: Bioengineering (Basel, Switzerland)

Published: September 10, 2025

Quantification and Analysis of Lung Involvement by Artificial Intelligence in Patients with Progressive Pulmonary Fibrosis Treated with Nintedanib.

Journal: Medicina (Kaunas, Lithuania)

Published: August 01, 2025

FedSynthCT-Brain: A federated learning framework for multi-institutional brain MRI-to-CT synthesis.

Journal: Computers in biology and medicine

Published: December 12, 2024

Toward Closing the Loop in Image-to-Image Conversion in Radiotherapy: A Quality Control Tool to Predict Synthetic Computed Tomography Hounsfield Unit Accuracy.

Journal: Journal of imaging

Published: November 13, 2024

Carotid stents reduce longitudinal movements within the vascular wall.

Journal: Clinical hemorheology and microcirculation

Published: September 20, 2024

Leveraging OGTT derived metabolic features to detect Binge-eating disorder in individuals with high weight: a "seek out" machine learning approach.

Journal: Translational psychiatry

Published: July 02, 2024

Physiological model-based machine learning for classifying patients with binge-eating disorder (BED) from the Oral Glucose Tolerance Test (OGTT) curve.

Journal: Computer methods and programs in biomedicine

Published: June 20, 2024