76 citations · 90 across the 7 of their papers we have counts for
8 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…
Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images
Marawan Elbatel, Christina Bornberg, Manasi Kattel +3
In-vitro tests are an alternative to animal testing for the toxicity of medical devices. Detecting cells as a first step, a cell expert evaluates the growth of cells according to c…
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…
On the Duality Between Retinex and Image Dehazing
Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria +2
Image dehazing deals with the removal of undesired loss of visibility in outdoor images due to the presence of fog. Retinex is a color vision model mimicking the ability of the Hum…