Federica Proietto Salanitri
Orcid: 0000-0002-6122-4249
According to our database1,
Federica Proietto Salanitri
authored at least 26 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A Convolutional-Transformer Model for FFR and iFR Assessment From Coronary Angiography.
IEEE Trans. Medical Imaging, August, 2024
<i>FedER</i>: Federated Learning through Experience Replay and privacy-preserving data synthesis.
Comput. Vis. Image Underst., January, 2024
Proceedings of the Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Coronary Artery Stenosis Assessment in X-Ray Angiography Through Spatio-Temporal Attention for Non-Invasive FFR and iFR Estimation.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
CoRR, 2022
GAN Latent Space Manipulation and Aggregation for Federated Learning in Medical Imaging.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022
A Hierarchical 3D Segmentation Model for Cone-Beam Computed Tomography Dental-Arch Scans.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Int. J. Comput. Vis., 2021
An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans.
Artif. Intell. Medicine, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Advanced Car Driving Assistant System: A Deep Non-local Pipeline Combined with 1D Dilated CNN for Safety Driving.
Proceedings of the International Conference on Image Processing and Vision Engineering, 2021
2020
Video Saliency Detection with Domain Adaptation using Hierarchical Gradient Reversal Layers.
CoRR, 2020
Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans.
Proceedings of the 25th International Conference on Pattern Recognition, 2020