92 citations · 178 across the 7 of their papers we have counts for
8 papers
Deepfake Media Forensics: State of the Art and Challenges Ahead
Irene Amerini, Mauro Barni, Sebastiano Battiato +21
AI-generated synthetic media, also called Deepfakes, have significantly influenced so many domains, from entertainment to cybersecurity. Generative Adversarial Networks (GANs) and…
MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks
Giovanni Pasqualino, Luca Guarnera, Alessandro Ortis +1
The progress in generative models, particularly Generative Adversarial Networks (GANs), opened new possibilities for image generation but raised concerns about potential malicious…
Deep Learning Algorithm for Advanced Level-3 Inverse-Modeling of Silicon-Carbide Power MOSFET Devices
Massimo Orazio Spata, Sebastiano Battiato, Alessandro Ortis +4
Inverse modelling with deep learning algorithms involves training deep architecture to predict device's parameters from its static behaviour. Inverse device modelling is suitable t…
Boosting multiple sclerosis lesion segmentation through attention mechanism
Alessia Rondinella, Elena Crispino, Francesco Guarnera +7
Magnetic resonance imaging is a fundamental tool to reach a diagnosis of multiple sclerosis and monitoring its progression. Although several attempts have been made to segment mult…
Early detection of hip periprosthetic joint infections through CNN on Computed Tomography images
Francesco Guarnera, Alessia Rondinella, Oliver Giudice +6
Early detection of an infection prior to prosthesis removal (e.g., hips, knees or other areas) would provide significant benefits to patients. Currently, the detection task is carr…
UniCT DMI Solution for 3rd COV19D Competition on COVID-19 Detection through attention-based CNN for CT Scan
Alessia Rondinella, Francesco Guarnera, Oliver Giudice +3
This paper presents our solution for the first challenge of the 3rd Covid-19 competition, which is part of the "AI-enabled Medical Image Analysis Workshop" organized by IEEE Intern…