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Maria Francesca Spadea
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2020 – today
- 2024
- [c8]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:
Deep learning-based tumor resectability prediction model in patients with Ovarian Cancer: a preliminary evaluation. Ital-IA 2024: 378-383 - 2023
- [j3]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:
Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma. Int. J. Comput. Assist. Radiol. Surg. 18(10): 1849-1856 (2023) - [c7]Michela Destito, Paolo Zaffino, Jolanda Sabatino, Claudia Critelli, Arber Qoku, Florian Buettner, Salvatore De Rosa, Maria Francesca Spadea:
Deep Learning Model for Video-Classification of Echocardiography Images. MetroXRAINE 2023: 479-483 - 2022
- [j2]Pierangela Bruno, Maria Francesca Spadea, Salvatore Scaramuzzino, Salvatore De Rosa, Ciro Indolfi, Giuseppe Gargiulo, Giuseppe Giugliano, Giovanni Esposito, Francesco Calimeri, Paolo Zaffino:
Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension. Neural Comput. Appl. 34(24): 22015-22022 (2022) - 2021
- [i1]Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino, Joao Seco:
Deep learning-based synthetic-CT generation in radiotherapy and PET: a review. CoRR abs/2102.02734 (2021) - 2020
- [c6]Moiz Khan Sherwani, Paolo Zaffino, Pierangela Bruno, Maria Francesca Spadea, Francesco Calimeri:
Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion. LOD (1) 2020: 563-573
2010 – 2019
- 2019
- [j1]Elias Tappeiner, Samuel Pröll, Markus Hönig, Patrik F. Raudaschl, Paolo Zaffino, Maria Francesca Spadea, Gregory C. Sharp, Rainer Schubert, Karl D. Fritscher:
Multi-organ segmentation of the head and neck area: an efficient hierarchical neural networks approach. Int. J. Comput. Assist. Radiol. Surg. 14(5): 745-754 (2019) - 2018
- [c5]Pierangela Bruno, Paolo Zaffino, Salvatore Scaramuzzino, Salvatore De Rosa, Ciro Indolfi, Francesco Calimeri, Maria Francesca Spadea:
Using CNNs for Designing and Implementing an Automatic Vascular Segmentation Method of Biomedical Images. AI*IA 2018: 60-70 - [c4]Pierangela Bruno, Paolo Zaffino, Salvatore Scaramuzzino, Salvatore De Rosa, Ciro Indolfi, Francesco Calimeri, Maria Francesca Spadea:
Segmentation of vessel tree from cine-angiography images for intraoperative clinical evaluation. RiCeRcA@AI*IA 2018 - 2016
- [c3]Karl D. Fritscher, Patrik Raudaschl, Paolo Zaffino, Maria Francesca Spadea, Gregory C. Sharp, Rainer Schubert:
Deep Neural Networks for Fast Segmentation of 3D Medical Images. MICCAI (2) 2016: 158-165
2000 – 2009
- 2009
- [c2]Marta Peroni, Maria Francesca Spadea, Marco Riboldi, Guido Baroni, George T. Y. Chen, Gregory C. Sharp:
Validation of an Automatic Contour Propagation Method for Lung Cancer 4D Adaptive Radiation Therapy. ISBI 2009: 1071-1074 - 2004
- [c1]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:
Extracranial frameless stereotactic radiosurgery with multi-modal imaging and opto-electronic position verification. CARS 2004: 318-322
Coauthor Index
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last updated on 2024-10-09 21:27 CEST by the dblp team
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