3 papers
cs.CV2026
Auditing Patient Privacy in Medical Generative Models: Scalable Memorization Detection with DeepSSIM++
Antonio Scardace, Francesco Guarnera, Sebastiano Battiato +1
While deep generative models offer new opportunities for medical image synthesis and data sharing, their ability to memorize and reproduce training samples raises serious concerns…
cs.CV2026
A Quantitative Analysis of Multimodal Biomarkers in Alzheimer's Disease
Antonio Scardace, Daniele Ravì
Despite increasing adoption of multimodal approaches in Alzheimer's Disease (AD) research -- aimed at integrating molecular, structural, clinical, and genetic biomarkers to enhance…
cs.CV2025
A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis
Antonio Scardace, Lemuel Puglisi, Francesco Guarnera +2
Deep generative models have emerged as a transformative tool in medical imaging, offering substantial potential for synthetic data generation. However, recent empirical studies hig…