Salvatore Vitabile

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Professor

University of Palermo

Italy

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About

Salvatore Vitabile is a Professor at the University of Palermo, Italy. His research focuses on the application of artificial intelligence and deep learning techniques in medical imaging, including areas such as COVID-19 classification, breast cancer analysis, and the morphological classification of intestinal organoids. He has contributed significantly to the development of hybrid learning systems and methodologies for enhanced interoperability in radiology workflows.

Recent Grants

Grant: Close

HEAL ITALIA - Health Extended ALliance for Innovative Therapies, Advanced Lab-research, and Integrated Approaches of Precision Medicine

Open Date: 2022-12-01

Close Date: 2025-11-01

Grant: Open

DARE - DigitAl lifelong pRevEntion

Open Date: 2022-12-01

Close Date: 2026-12-01

Grant: Close

Mathematical Models for Explainable Artificial Intelligence

Open Date: 2022-08-01

Close Date: 2025-07-01

Grant: Close

High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)

Open Date: 2015-06-01

Close Date: 2019-05-01

Grant: Close

BD4BREAST - A Smart Framework for Clinical Big Data Analysis as Decision Support System for Breast Pathologies Diagnosis

Open Date: 2014-05-01

Close Date: 2016-10-01

Articles (18)

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PROFESSORE ASSOCIATO

Università degli Studi di Palermo

ITALY

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Fiore MANGANELLI

Full Professor of Neurology

University of Naples Federico II

ITALY

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Salvatore Vitabile

Research Interests

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About

Recent Grants

Articles (18)

HERALD: A Hybrid distributEd leaRning incrementAL & feDerated solution for knowledge distillation in COVID-19 classification

Rad4XCNN: A new agnostic method for post-hoc global explanation of CNN-derived features by means of Radiomics

DicomOS: A Preliminary Study on a Linux-Based Operating System Tailored for Medical Imaging and Enhanced Interoperability in Radiology Workflows

Deep Learning Approaches for Morphological Classification of Intestinal Organoids

An intelligent Medical Cyber–Physical System to support heart valve disease screening and diagnosis

The Clinical Relevance of Artificial Intelligence in Migraine

Breast cancer classification through multivariate radiomic time series analysis in DCE-MRI sequences

Hypercomplex Signal and Image Processing: Part 2

Hypercomplex Signal and Image Processing: Part 1

Shallow and deep learning classifiers in medical image analysis

Transformer-Based Approach to Melanoma Detection

Machine Learning for Early Diagnosis of ATTRv Amyloidosis in Non-Endemic Areas: A Multicenter Study from Italy

Impact of Wavelet Kernels on Predictive Capability of Radiomic Features: A Case Study on COVID-19 Chest X-ray Images

An Optimized Architecture for CGA Operations and Its Application to a Simulated Robotic Arm

A Novel Bio-Inspired Approach for High-Performance Management in Service-Oriented Networks

Fingerprint Classification Based on Deep Learning Approaches: Experimental Findings and Comparisons

A Computational Study on Temperature Variations in MRgFUS Treatments Using PRF Thermometry Techniques and Optical Probes

HCI for biomedical decision-making: From diagnosis to therapy

Collaborators (14)

Filippo BRIGHINA

Tommaso Vincenzo Bartolotta

Vincenzo Di Stefano

Pietro Amedeo Modesti

Giovanni Merlino

Stefano Tozza

Eros Pasero

Eckhard Hitzer

Orazio Gambino

Massimo Russo

Roberto Pirrone

Marco Luigetti

simone di franco

Fiore MANGANELLI

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