Spatiotemporal forecasting of 3D anatomical changes is a critical generative vision challenge for modeling Alzheimer's Disease (AD) progression. While brain MRI forecasting from single-modality data has advanced, other key complementary multimodal biomarkers remain underutilized. In this work, we propose the Multimodal...
Antonio Scardace, Silvia Ingala, S. Battiato et al.· 0 citations
User authentication is more and more crucial in everyday life, with researchers developing sophisticated, yet easy-to-use, approaches to enforce secure authentication while providing a smooth user experience. This is particularly true in mobile authentication, in which the spread of AI-capable smartphones is opening up...
Georgia Fargetta, M. O. Spata, A. Ortis et al.· Multimedia Systems· 0 citations
Hierarchical EXplainable Multiple Instance Learning (Hierarchical EXplainable Multiple Instance Learning), a mask-free medical deepfake detector that simultaneously addresses both limitations using only binary volume-level supervision.
Orazio Pontorno, Luca Guarnera, Z. Akhtar et al.· 0 citations
The K-Space Signature (KSS) is introduced, a novel forensic framework that isolates hardware and generative traces within the spectral domain within the frequency domain and exhibits robust zero-shot generalization, maintaining strong discriminative power on independent datasets acquired from entirely unseen scanners.
Riccardo Raciti, Francesco Guarnera, F. Rundo et al.· arXiv.org· 0 citations
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