Extracranial frameless stereotactic radiosurgery with multi-modal imaging and opto-electronic position verification. - Marco Riboldi; C. Garibaldi; Guido Baroni; Maria Francesca Spadea; Barbara Tagaste; G. Catalano; Roberto Orecchia; Valentino Bettinardi; Giovanna Rizzo; C. Messa; Ferruccio Fazio; Antonio Pedotti (CARS, 2004)

Validation of an Automatic Contour Propagation Method for Lung Cancer 4D Adaptive Radiation Therapy. - Marta Peroni; Maria Francesca Spadea; Marco Riboldi; Guido Baroni; George T. Y. Chen; Gregory C. Sharp (ISBI, 2009)

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)

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)

Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma. - Ziyu She; Aldo Marzullo; Michela Destito; Maria Francesca Spadea; Riccardo Leone; Nicoletta Anzalone; Sara Steffanoni; Federico Erbella; Andrés J. M. Ferreri; Giancarlo Ferrigno; Teresa Calimeri; Elena De Momi (Int. J. Comput. Assist. Radiol. Surg., 2023)

Augmented Reality in Microinvasive Cardiac Surgery: Towards a Training Simulator for Mitral Valve Repair Intervention. - Domenico Riggio; Sofia Breschi; Angela Peloso; Maria Francesca Spadea; Elena De Momi (BioRob, 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)

ImageAugmenter: A user-friendly 3D Slicer tool for medical image augmentation. - Ciro Benito Raggio; Paolo Zaffino; Maria Francesca Spadea (SoftwareX, 2024)

LIMIS: Towards Language-Based Interactive Medical Image Segmentation. - Lena Heinemann; Alexander Jaus; Zdravko Marinov; Moon S. Kim 002; Maria Francesca Spadea; Jens Kleesiek; Rainer Stiefelhagen (ISBI, 2025)

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)

Repeatability of radiomic features from brain T1-W MRI after image intensity normalization: Implications for longitudinal studies on structural neurodegeneration. - Noemi Pisani; Michela Destito; Carlo Ricciardi; Maria Teresa Pellecchia; Mario Cesarelli; Fabrizio Esposito; Maria Francesca Spadea; Francesco Amato 001 (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)