Paolo Zaffino

Assistant Professor of Bioengineering

Università degli Studi Mediterranea di Reggio Calabria

Italy

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About

Paolo Zaffino is an Assistant Professor of Bioengineering at Università degli Studi Magna Graecia di Catanzaro, Italy. His research areas encompass artificial intelligence applications in healthcare, particularly in lung disease analysis, brain imaging synthesis, and machine learning techniques for metabolic and psychological disorders. He has contributed to advancements in medical imaging and computational methods for patient care through his recent publications.

Articles (16)

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2025

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2025

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2020

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2020

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2020

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2020

Collaborators (17)

Girolamo Pelaia

Professor of Respiratory Medicine

Magna Graecia University

ITALY

Paolo Zaffino

Research Interests

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Articles (16)

Quantification and Analysis of Lung Involvement by Artificial Intelligence in Patients with Progressive Pulmonary Fibrosis Treated with Nintedanib

FedSynthCT-Brain: A federated learning framework for multi-institutional brain MRI-to-CT synthesis

Leveraging OGTT derived metabolic features to detect Binge-eating disorder in individuals with high weight: a “seek out” machine learning approach

Physiological model-based machine learning for classifying patients with binge-eating disorder (BED) from the Oral Glucose Tolerance Test (OGTT) curve

Combining simulation models and machine learning in healthcare management: strategies and applications

Toward Closing the Loop in Image-to-Image Conversion in Radiotherapy: A Quality Control Tool to Predict Synthetic Computed Tomography Hounsfield Unit Accuracy

Automated pipeline for linear and volumetric assessment of facial swelling after third molar surgery

Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma Patients

Design and Experimental Validation of a 3D-Printed Embedded-Sensing Continuum Robot for Neurosurgery

CoroFinder: A New Tool for Real Time Detection and Tracking of Coronary Arteries in Contrast-Free Cine-Angiography

Deep learning based synthetic‐CT generation in radiotherapy and PET: A review

An Open-Source COVID-19 CT Dataset with Automatic Lung Tissue Classification for Radiomics

Comparison of the suitability of CBCT- and MR-based synthetic CTs for daily adaptive proton therapy in head and neck patients

Innate Immunity: A Common Denominator between Neurodegenerative and Neuropsychiatric Diseases

SlicerArduino: A Bridge between Medical Imaging Platform and Microcontroller

Comparison of CBCT based synthetic CT methods suitable for proton dose calculations in adaptive proton therapy

Collaborators (17)

Girolamo Pelaia

Francesco Calimeri

GIUSEPPE DONATO

Francesco Amato

Domenico La Torre

Matteo Maspero

Maria Francesca Spadea

Anna Procopio

Selene Barone

Carlo Cosentino

Antje Knopf

Aldo Marzullo

Domenico Laganà

Joao Seco

Oliver Blanck

Alessio Merola

nicoletta anzalone

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