2 citations · 2 across the 2 of their papers we have counts for
6 papers
Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung Cancer
Filippo Ruffini, Camillo Maria Caruso, Claudia Tacconi +16
Accurate survival prediction in Non-Small Cell Lung Cancer (NSCLC) requires integrating clinical, radiological, and histopathological data. Multimodal Deep Learning (MDL) can impro…
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging
Gabriele Lozupone, Alessandro Bria, Francesco Fontanella +3
This study presents Latent Diffusion Autoencoder (LDAE), a novel encoder-decoder diffusion-based framework for efficient and meaningful unsupervised learning in medical imaging, fo…
AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans
Gabriele Lozupone, Alessandro Bria, Francesco Fontanella +2
This study presents an innovative method for Alzheimer's disease diagnosis using 3D MRI designed to enhance the explainability of model decisions. Our approach adopts a soft attent…
On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection
Marco Cantone, Claudio Marrocco, Alessandro Bria
Network Intrusion Detection Systems (NIDS) are a fundamental tool in cybersecurity. Their ability to generalize across diverse networks is a critical factor in their effectiveness…
Gravity Network for end-to-end small lesion detection
Ciro Russo, Alessandro Bria, Claudio Marrocco
This paper introduces a novel one-stage end-to-end detector specifically designed to detect small lesions in medical images. Precise localization of small lesions presents challeng…
Sinc-based convolutional neural networks for EEG-BCI-based motor imagery classification
Alessandro Bria, Claudio Marrocco, Francesco Tortorella
Brain-Computer Interfaces (BCI) based on motor imagery translate mental motor images recognized from the electroencephalogram (EEG) to control commands. EEG patterns of different i…