3 papers
cs.DB2024
MedPix 2.0: A Comprehensive Multimodal Biomedical Data set for Advanced AI Applications with Retrieval Augmented Generation and Knowledge Graphs
Irene Siragusa, Salvatore Contino, Massimo La Ciura +2
The increasing interest in developing Artificial Intelligence applications in the medical domain, suffers from the lack of high-quality data set, mainly due to privacy-related issu…
q-bio.QM2024
Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph Explainability
Salvatore Contino, Paolo Sortino, Maria Rita Gulotta +2
Background: Virtual Screening (VS) has become an essential tool in drug discovery, enabling the rapid and cost-effective identification of potential bioactive molecules. Among rece…
eess.IV2023
IODeep: an IOD for the introduction of deep learning in the DICOM standard
Salvatore Contino, Luca Cruciata, Orazio Gambino +1
Background and Objective: In recent years, Artificial Intelligence (AI) and in particular Deep Neural Networks (DNN) became a relevant research topic in biomedical image segmentati…