Multi-View LEArning-based data Proliferator (MV-LEAP) for boosting classification using highly imbalanced classes.

Comparison of three techniques of melanoma screening.

A quality control system for automated prostate segmentation on T2-weighted MRI

SM-NetFusion for supervised multi-topology network cross-diffusion.

NAG-FS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification.

The Reproducibility of Deep Learning-Based Segmentation of the Prostate Gland and Zones on T2-Weighted MR Images

Alzheimer's Disease Classification Research performed at University of Cagliari in 2020.