154 citations · 780 across the 51 of their papers we have counts for
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Reinforcing the Weakest Links: Modernizing SIENA with Targeted Deep Learning Integration
Riccardo Raciti, Lemuel Puglisi, Francesco Guarnera +2
Percentage Brain Volume Change (PBVC) derived from Magnetic Resonance Imaging (MRI) is a widely used biomarker of brain atrophy, with SIENA among the most established methods for i…
ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation -- Methods and Results
Alessia Rondinella, Francesco Guarnera, Elena Crispino +5
This report summarizes the outcomes of the ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation (MSLesSeg). The competition aimed to develop methods capable of automatic…
SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions
Lemuel Puglisi, Alessia Rondinella, Linda De Meo +3
Brain age is a critical measure that reflects the biological ageing process of the brain. The gap between brain age and chronological age, referred to as brain PAD (Predicted Age D…
TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI
Mattia Litrico, Francesco Guarnera, Valerio Giuffirda +2
Generating realistic images to accurately predict changes in the structure of brain MRI is a crucial tool for clinicians. Such applications help assess patients' outcomes and analy…
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…
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…
In-Depth DCT Coefficient Distribution Analysis for First Quantization Estimation
Sebastiano Battiato, Oliver Giudice, Francesco Guarnera +1
The exploitation of traces in JPEG double compressed images is of utter importance for investigations. Properly exploiting such insights, First Quantization Estimation (FQE) could…