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 (MICCAI (2), 2016)

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 (AI*IA, 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 (RiCeRcA@AI*IA, 2018)

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)

Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion. - Moiz Khan Sherwani; Paolo Zaffino; Pierangela Bruno; Maria Francesca Spadea; Francesco Calimeri (LOD (1), 2020)

Deep learning-based synthetic-CT generation in radiotherapy and PET: a review. - Maria Francesca Spadea; Matteo Maspero; Paolo Zaffino; Joao Seco (CoRR, 2021)

Editorial: Hot topic: Reducing operating times and complication rates through robot-assisted surgery. - Daniele Cafolla; Francesco Calimeri; Huiping Cao; Matteo Russo 001; Dominique Sappey-Marinier; Paolo Zaffino (Frontiers Robotics AI, 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)

Deep Learning Model for Video-Classification of Echocardiography Images. - Michela Destito; Paolo Zaffino; Jolanda Sabatino; Claudia Critelli; Arber Qoku; Florian Buettner 001; Salvatore De Rosa; Maria Francesca Spadea (MetroXRAINE, 2023)

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 (BIBM, 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 (BIBM, 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 (Ital-IA, 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)

Toward Closing the Loop in Image-to-Image Conversion in Radiotherapy: A Quality Control Tool to Predict Synthetic Computed Tomography Hounsfield Unit Accuracy. - Paolo Zaffino; Ciro Benito Raggio; Adrian Thummerer; Gabriel Guterres Marmitt; Johannes Albertus Langendijk; Anna Procopio; Carlo Cosentino; Joao Seco; Antje-Christin Knopf; Stefan Both; Maria Francesca Spadea (J. Imaging, 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 (Comput. Biol. Medicine, 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)

A multi-model deep learning approach for the identification of coronary artery calcifications within 2D coronary angiography images. - Edoardo De Rose; Ciro Benito Raggio; Ahmad Riccardo Rasheed; Pierangela Bruno; Paolo Zaffino; Salvatore De Rosa; Francesco Calimeri; Maria Francesca Spadea (Int. J. Comput. Assist. Radiol. Surg., 2025)

A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck. - Ciro Benito Raggio; Paolo Zaffino; Maria Francesca Spadea (CoRR, 2025)