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Federica Proietto Salanitri
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2020 – today
- 2025
- [e1]Federica Proietto Salanitri
, Serestina Viriri
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
FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis. Comput. Vis. Image Underst. 238: 103882 (2024) - [j3]Raffaele Mineo
A Convolutional-Transformer Model for FFR and iFR Assessment From Coronary Angiography. IEEE Trans. Medical Imaging 43(8): 2866-2877 (2024) - [c15]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 - [c14]Rutger Hendrix, Federica Proietto Salanitri, Concetto Spampinato, Simone Palazzo, Ulas Bagci:
Evidential Federated Learning for Skin Lesion Image Classification. ICPR (29) 2024: 354-365 - [c13]Cristian Delle Castelle, Fabio Spampinato, Federica Proietto Salanitri
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
Dynamic Graph Attention: Unraveling Spatio-Temporal Synchrony in EEG Data. BIBM 2023: 2201-2206 - [c11]Matteo Pennisi, Federica Proietto Salanitri
Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning. ICCV (Workshops) 2023: 3368-3375 - [c10]Amelia Sorrenti, Giovanni Bellitto, Federica Proietto Salanitri
Selective Freezing for Efficient Continual Learning. ICCV (Workshops) 2023: 3542-3551 - [c9]Raffaele Mineo
FeDETR: A Federated Approach for Stenosis Detection in Coronary Angiography. ICIAP Workshops (2) 2023: 189-200 - [c8]Matteo Pennisi
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. MICCAI (3) 2023: 422-431 - [c7]Feiyan Hu
TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation. WACV 2023: 2050-2059 - [i6]Feiyan Hu, Simone Palazzo, Federica Proietto Salanitri
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
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. EMBC 2022: 475-479 - [c5]Francesco Rundo
A Hierarchical 3D Segmentation Model for Cone-Beam Computed Tomography Dental-Arch Scans. ICPR Workshops (1) 2022: 589-601 - [c4]Matteo Pennisi
GAN Latent Space Manipulation and Aggregation for Federated Learning in Medical Imaging. DeCaF/FAIR@MICCAI 2022: 68-78 - [i4]Matteo Pennisi, Federica Proietto Salanitri
Decentralized Distributed Learning with Privacy-Preserving Data Synthesis. CoRR abs/2206.10048 (2022) - [i3]Federica Proietto Salanitri
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. CoRR abs/2206.10531 (2022) - 2021
- [j2]Matteo Pennisi
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
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
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
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
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)
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