Paolo Zaffino

According to our database, Paolo Zaffino authored at least 16 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Anna Procopio, Marianna Rania, Paolo Zaffino, Nicola Cortese, Federica Giofrè, Franco Arturi, Cristina Segura-Garcia, Carlo Cosentino

Comput. Methods Programs Biomed., 2025

2024

ImageAugmenter: A user-friendly 3D Slicer tool for medical image augmentation.

Ciro Benito Raggio, Paolo Zaffino, Maria Francesca Spadea

SoftwareX, 2024

FedSynthCT-Brain: A Federated Learning Framework for Multi-Institutional Brain MRI-to-CT Synthesis.

Ciro Benito Raggio, Mathias Krohmer Zabaleta, Nils Skupien, Oliver Blanck, Francesco Cicone, Giuseppe Lucio Cascini, Paolo Zaffino, Lucia Migliorelli, Maria Francesca Spadea

CoRR, 2024

Applications of genome-scale metabolic models to the study of human diseases: A systematic review.

Nicola Cortese, Anna Procopio, Alessio Merola, Paolo Zaffino, Carlo Cosentino

Comput. Methods Programs Biomed., 2024

Deep learning-based tumor resectability prediction model in patients with Ovarian Cancer: a preliminary evaluation.

Francesca Fati, Marina Rosanu, Luigi De Vitis, Gabriella Schivardi, Giovanni Damiano Aletti, Francesco Multinu, Roberto Veraldi, Paolo Zaffino, Carlo Cosentino, Maria Francesca Spadea, Elena De Momi

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Mechanistic and Data-Driven Models for Predicting Glucose Levels during Gestation.

Nilde Fera, Anna Procopio, Antonio Cutruzzolà, Paolo Zaffino, Nicola Cortese, Gloria Formoso, Carlo Cosentino, Concetta Irace

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

A preliminary investigation of diabetic nephropathy biomarkers through machine learning approaches.

Nicola Cortese, Antonio Cutruzzolà, Anna Procopio, Paolo Zaffino, Carmine Scalzi, Agostino Gnasso, Concetta Irace, Carlo Cosentino

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Deep Learning Model for Video-Classification of Echocardiography Images.

Michela Destito, Paolo Zaffino, Jolanda Sabatino, Claudia Critelli, Arber Qoku, Florian Buettner, Salvatore De Rosa, Maria Francesca Spadea

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

2022

Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension.

Pierangela Bruno, Maria Francesca Spadea, Salvatore Scaramuzzino, Salvatore De Rosa, Ciro Indolfi, Giuseppe Gargiulo, Giuseppe Giugliano, Giovanni Esposito, Francesco Calimeri, Paolo Zaffino

Neural Comput. Appl., 2022

Editorial: Hot topic: Reducing operating times and complication rates through robot-assisted surgery.

Daniele Cafolla, Francesco Calimeri, Huiping Cao, Matteo Russo, Dominique Sappey-Marinier, Paolo Zaffino

Frontiers Robotics AI, 2022

2021

Deep learning-based synthetic-CT generation in radiotherapy and PET: a review.

Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino, Joao Seco

CoRR, 2021

2020

Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion.

Moiz Khan Sherwani, Paolo Zaffino, Pierangela Bruno, Maria Francesca Spadea, Francesco Calimeri

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019

Multi-organ segmentation of the head and neck area: an efficient hierarchical neural networks approach.

Elias Tappeiner, Samuel Pröll, Markus Hönig, Patrik F. Raudaschl, Paolo Zaffino, Maria Francesca Spadea, Gregory C. Sharp, Rainer Schubert, Karl D. Fritscher

Int. J. Comput. Assist. Radiol. Surg., 2019

2018

Segmentation of vessel tree from cine-angiography images for intraoperative clinical evaluation.

Pierangela Bruno, Paolo Zaffino, Salvatore Scaramuzzino, Salvatore De Rosa, Ciro Indolfi, Francesco Calimeri, Maria Francesca Spadea

Proceedings of the RiCeRcA Workshop co-located with the 17th International Conference of the Italian Association for Artificial Intelligence, 2018

Using CNNs for Designing and Implementing an Automatic Vascular Segmentation Method of Biomedical Images.

Pierangela Bruno, Paolo Zaffino, Salvatore Scaramuzzino, Salvatore De Rosa, Ciro Indolfi, Francesco Calimeri, Maria Francesca Spadea

Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018

2016

Deep Neural Networks for Fast Segmentation of 3D Medical Images.

Karl D. Fritscher, Patrik Raudaschl, Paolo Zaffino, Maria Francesca Spadea, Gregory C. Sharp, Rainer Schubert

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016