Paolo Zaffino - RankMe

22 papers Journal 14Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Modeling strategies for CGM data: A scoping review of mechanistic, machine learning, and hybrid approaches in diabetes management. Comput. Biol. Medicine Nilde Fera, Anna Procopio, Paolo Zaffino, Antonio Cutruzzolà, Concetta Irace, Carlo Cosentino
2025	J	`jnl`	A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck. CoRR Ciro Benito Raggio, Paolo Zaffino, Maria Francesca Spadea
2025	J	`jnl`	A multi-model deep learning approach for the identification of coronary artery calcifications within 2D coronary angiography images. Int. J. Comput. Assist. Radiol. Surg. Edoardo De Rose, Ciro Benito Raggio, Ahmad Riccardo Rasheed, Pierangela Bruno, Paolo Zaffino, Salvatore De Rosa, Francesco Calimeri, Maria Francesca Spadea
2025	J	`jnl`	Energy-Efficient Federated Learning via Adaptive Encoder Freezing for MRI-to-CT Conversion: A Green AI-Guided Research. CoRR Ciro Benito Raggio, Lucia Migliorelli, Nils Skupien, Mathias Krohmer Zabaleta, Oliver Blanck, Francesco Cicone, Giuseppe Lucio Cascini, Paolo Zaffino, Maria Francesca Spadea
2025	J	`jnl`	FedSynthCT-Brain: A federated learning framework for multi-institutional brain MRI-to-CT synthesis. Comput. Biol. Medicine Ciro Benito Raggio, Mathias Krohmer Zabaleta, Nils Skupien, Oliver Blanck, Francesco Cicone, Giuseppe Lucio Cascini, Paolo Zaffino, Lucia Migliorelli, Maria Francesca Spadea
2025	J	`jnl`	Physiological model-based machine learning for classifying patients with binge-eating disorder (BED) from the Oral Glucose Tolerance Test (OGTT) curve. Comput. Methods Programs Biomed. Anna Procopio, Marianna Rania, Paolo Zaffino, Nicola Cortese, Federica Giofrè, Franco Arturi, Cristina Segura-Garcia, Carlo Cosentino
2024	—	`conf`	A preliminary investigation of diabetic nephropathy biomarkers through machine learning approaches. BIBM Nicola Cortese, Antonio Cutruzzolà, Anna Procopio, Paolo Zaffino, Carmine Scalzi, Agostino Gnasso, Concetta Irace, Carlo Cosentino
2024	J	`jnl`	Applications of genome-scale metabolic models to the study of human diseases: A systematic review. Comput. Methods Programs Biomed. Nicola Cortese, Anna Procopio, Alessio Merola, Paolo Zaffino, Carlo Cosentino
2024	—	`conf`	Deep learning-based tumor resectability prediction model in patients with Ovarian Cancer: a preliminary evaluation. Ital-IA 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
2024	J	`jnl`	FedSynthCT-Brain: A Federated Learning Framework for Multi-Institutional Brain MRI-to-CT Synthesis. CoRR Ciro Benito Raggio, Mathias Krohmer Zabaleta, Nils Skupien, Oliver Blanck, Francesco Cicone, Giuseppe Lucio Cascini, Paolo Zaffino, Lucia Migliorelli, Maria Francesca Spadea
2024	J	`jnl`	ImageAugmenter: A user-friendly 3D Slicer tool for medical image augmentation. SoftwareX Ciro Benito Raggio, Paolo Zaffino, Maria Francesca Spadea
2024	—	`conf`	Mechanistic and Data-Driven Models for Predicting Glucose Levels during Gestation. BIBM Nilde Fera, Anna Procopio, Antonio Cutruzzolà, Paolo Zaffino, Nicola Cortese, Gloria Formoso, Carlo Cosentino, Concetta Irace
2024	J	`jnl`	Toward Closing the Loop in Image-to-Image Conversion in Radiotherapy: A Quality Control Tool to Predict Synthetic Computed Tomography Hounsfield Unit Accuracy. J. Imaging 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
2023	—	`conf`	Deep Learning Model for Video-Classification of Echocardiography Images. MetroXRAINE Michela Destito, Paolo Zaffino, Jolanda Sabatino, Claudia Critelli, Arber Qoku, Florian Buettner, Salvatore De Rosa, Maria Francesca Spadea
2022	J	`jnl`	Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension. Neural Comput. Appl. Pierangela Bruno, Maria Francesca Spadea, Salvatore Scaramuzzino, Salvatore De Rosa, Ciro Indolfi, Giuseppe Gargiulo, Giuseppe Giugliano, Giovanni Esposito, Francesco Calimeri, Paolo Zaffino
2022	J	`jnl`	Editorial: Hot topic: Reducing operating times and complication rates through robot-assisted surgery. Frontiers Robotics AI Daniele Cafolla, Francesco Calimeri, Huiping Cao, Matteo Russo, Dominique Sappey-Marinier, Paolo Zaffino
2021	J	`jnl`	Deep learning-based synthetic-CT generation in radiotherapy and PET: a review. CoRR Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino, Joao Seco
2020	—	`conf`	Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion. LOD (1) Moiz Khan Sherwani, Paolo Zaffino, Pierangela Bruno, Maria Francesca Spadea, Francesco Calimeri
2019	J	`jnl`	Multi-organ segmentation of the head and neck area: an efficient hierarchical neural networks approach. Int. J. Comput. Assist. Radiol. Surg. Elias Tappeiner, Samuel Pröll, Markus Hönig, Patrik F. Raudaschl, Paolo Zaffino, Maria Francesca Spadea, Gregory C. Sharp, Rainer Schubert, Karl D. Fritscher
2018	—	`conf`	Segmentation of vessel tree from cine-angiography images for intraoperative clinical evaluation. RiCeRcA@AI*IA Pierangela Bruno, Paolo Zaffino, Salvatore Scaramuzzino, Salvatore De Rosa, Ciro Indolfi, Francesco Calimeri, Maria Francesca Spadea
2018	—	`conf`	Using CNNs for Designing and Implementing an Automatic Vascular Segmentation Method of Biomedical Images. AI*IA Pierangela Bruno, Paolo Zaffino, Salvatore Scaramuzzino, Salvatore De Rosa, Ciro Indolfi, Francesco Calimeri, Maria Francesca Spadea
2016	—	`conf`	Deep Neural Networks for Fast Segmentation of 3D Medical Images. MICCAI (2) Karl D. Fritscher, Patrik Raudaschl, Paolo Zaffino, Maria Francesca Spadea, Gregory C. Sharp, Rainer Schubert