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ORCIDFederica Proietto Salanitri
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2020 – today
- 2025
[e1]Federica Proietto Salanitri
, Serestina Viriri, Ulas Bagci, Pallavi Tiwari, Boqing Gong, Concetto Spampinato, Simone Palazzo, Giovanni Bellitto, Nancy Zlatintsi, Panagiotis Paraskevas Filntisis, Cecilia S. Lee, Aaron Y. Lee:
Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine - First International Workshop, AIPAD 2024 and First International Workshop, PILM 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15197, Springer 2025, ISBN 978-3-031-73482-3 [contents]- 2024
- [j4]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato:
FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis. Comput. Vis. Image Underst. 238: 103882 (2024) - [j3]Raffaele Mineo, Federica Proietto Salanitri, Giovanni Bellitto, Isaak Kavasidis, Ovidio De Filippo, M. Millesimo, Gaetano Maria de Ferrari, Marco Aldinucci, Daniela Giordano, Simone Palazzo, Fabrizio D'Ascenzo, Concetto Spampinato:
A Convolutional-Transformer Model for FFR and iFR Assessment From Coronary Angiography. IEEE Trans. Medical Imaging 43(8): 2866-2877 (2024) - [c14]Raffaele Mineo, Federica Proietto Salanitri, Giovanni Bellitto, Ovidio De Filippo, Fabrizio D'Ascenzo, Simone Palazzo, Concetto Spampinato:
Coronary Artery Stenosis Assessment in X-Ray Angiography Through Spatio-Temporal Attention for Non-Invasive FFR and iFR Estimation. BIOSTEC (1) 2024: 305-312 - [c13]Cristian Delle Castelle, Fabio Spampinato, Federica Proietto Salanitri, Giovanni Bellitto, Concetto Spampinato:
Leveraging SAM and Learnable Prompts for Pancreatic MRI Segmentation. AIPAD/PILM@MICCAI 2024: 25-34 - [i9]Amelia Sorrenti, Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Simone Palazzo, Concetto Spampinato:
Wake-Sleep Consolidated Learning. CoRR abs/2401.08623 (2024) - [i8]Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Angelo Porrello, Simone Calderara, Simone Palazzo, Concetto Spampinato:
Selective Attention-based Modulation for Continual Learning. CoRR abs/2403.20086 (2024) - [i7]Raffaele Mineo, Amelia Sorrenti, Federica Proietto Salanitri:
FeDETR: a Federated Approach for Stenosis Detection in Coronary Angiography. CoRR abs/2409.14268 (2024) - 2023
- [c12]Federica Proietto Salanitri, Giovanni Bellitto, Raffaele Mineo, Matteo Pennisi, Amelia Sorrenti, Salvatore Calcagno, Daniela Giordano, Simone Palazzo, Concetto Spampinato:
Dynamic Graph Attention: Unraveling Spatio-Temporal Synchrony in EEG Data. BIBM 2023: 2201-2206 - [c11]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Concetto Spampinato, Simone Palazzo, Bruno Casella, Marco Aldinucci:
Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning. ICCV (Workshops) 2023: 3368-3375 - [c10]Amelia Sorrenti, Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Concetto Spampinato, Simone Palazzo:
Selective Freezing for Efficient Continual Learning. ICCV (Workshops) 2023: 3542-3551 - [c9]Raffaele Mineo, Amelia Sorrenti, Federica Proietto Salanitri:
FeDETR: A Federated Approach for Stenosis Detection in Coronary Angiography. ICIAP Workshops (2) 2023: 189-200 - [c8]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. MICCAI (3) 2023: 422-431 - [c7]Feiyan Hu, Simone Palazzo, Federica Proietto Salanitri, Giovanni Bellitto, Morteza Moradi, Concetto Spampinato, Kevin McGuinness:
TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation. WACV 2023: 2050-2059 - [i6]Feiyan Hu, Simone Palazzo, Federica Proietto Salanitri, Giovanni Bellitto, Morteza Moradi, Concetto Spampinato, Kevin McGuinness:
TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation. CoRR abs/2301.04619 (2023) - [i5]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. CoRR abs/2307.02984 (2023) - 2022
- [c6]Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ismail Irmakci, Michael B. Wallace, Candice W. Bolan, Megan Engels, Sanne Hoogenboom, Marco Aldinucci, Ulas Bagci, Daniela Giordano, Concetto Spampinato:
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. EMBC 2022: 475-479 - [c5]Francesco Rundo, Carmelo Pino, Riccardo Emanuele Sarpietro, Concetto Spampinato, Federica Proietto Salanitri:
A Hierarchical 3D Segmentation Model for Cone-Beam Computed Tomography Dental-Arch Scans. ICPR Workshops (1) 2022: 589-601 - [c4]Matteo Pennisi, Federica Proietto Salanitri, Simone Palazzo, Carmelo Pino, Francesco Rundo, Daniela Giordano, Concetto Spampinato:
GAN Latent Space Manipulation and Aggregation for Federated Learning in Medical Imaging. DeCaF/FAIR@MICCAI 2022: 68-78 - [i4]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato:
Decentralized Distributed Learning with Privacy-Preserving Data Synthesis. CoRR abs/2206.10048 (2022) - [i3]Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ismail Irmakci, Michael B. Wallace, Candice W. Bolan, Megan Engels, Sanne Hoogenboom, Marco Aldinucci, Ulas Bagci, Daniela Giordano, Concetto Spampinato:
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. CoRR abs/2206.10531 (2022) - 2021
- [j2]Matteo Pennisi, Isaak Kavasidis, Concetto Spampinato, Vincenzo Schininà, Simone Palazzo, Federica Proietto Salanitri, Giovanni Bellitto, Francesco Rundo, Marco Aldinucci, Massimo Cristofaro, Paolo Campioni, Elisa Pianura, Federica Di Stefano, Ada Petrone, Fabrizio Albarello, Giuseppe Ippolito, Salvatore Cuzzocrea, Sabrina Conoci:
An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans. Artif. Intell. Medicine 118: 102114 (2021) - [j1]Giovanni Bellitto, Federica Proietto Salanitri, Simone Palazzo, Francesco Rundo, Daniela Giordano, Concetto Spampinato:
Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction. Int. J. Comput. Vis. 129(12): 3216-3232 (2021) - [c3]Francesco Rundo, Roberto Leotta, Francesca Trenta, Giovanni Bellitto, Federica Proietto Salanitri, Vincenzo Piuri, Angelo Genovese, Ruggero Donida Labati, Fabio Scotti, Concetto Spampinato, Sebastiano Battiato:
Advanced Car Driving Assistant System: A Deep Non-local Pipeline Combined with 1D Dilated CNN for Safety Driving. IMPROVE 2021: 81-90 - [c2]Federica Proietto Salanitri, Giovanni Bellitto, Ismail Irmakci, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
Hierarchical 3D Feature Learning forPancreas Segmentation. MLMI@MICCAI 2021: 238-247 - [i2]Federica Proietto Salanitri, Giovanni Bellitto, Ismail Irmakci, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
Hierarchical 3D Feature Learning for Pancreas Segmentation. CoRR abs/2109.01667 (2021) - 2020
- [c1]Francesca Murabito, Simone Palazzo, Federica Proietto Salanitri, Francesco Rundo, Ulas Bagci, Daniela Giordano, Rosalia Leonardi, Concetto Spampinato:
Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans. ICPR 2020: 9062-9067 - [i1]Giovanni Bellitto, Federica Proietto Salanitri, Simone Palazzo, Francesco Rundo, Daniela Giordano, Concetto Spampinato:
Video Saliency Detection with Domain Adaptation using Hierarchical Gradient Reversal Layers. CoRR abs/2010.01220 (2020)
Coauthor Index
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