Federica Proietto Salanitri

Comput. Vis. Image Underst., January, 2024

Selective Attention-based Modulation for Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Wake-Sleep Consolidated Learning.

[BibT_eX]

[DOI]

Amelia Sorrenti

CoRR, 2024

Coronary Artery Stenosis Assessment in X-Ray Angiography Through Spatio-Temporal Attention for Non-Invasive FFR and iFR Estimation.

[BibT_eX]

[DOI]

Raffaele Mineo

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.

[BibT_eX]

[DOI]

Feiyan Hu

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

FeDETR: A Federated Approach for Stenosis Detection in Coronary Angiography.

[BibT_eX]

[DOI]

Raffaele Mineo

Amelia Sorrenti

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Selective Freezing for Efficient Continual Learning.

[BibT_eX]

[DOI]

Amelia Sorrenti

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynamic Graph Attention: Unraveling Spatio-Temporal Synchrony in EEG Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Decentralized Distributed Learning with Privacy-Preserving Data Synthesis.

[BibT_eX]

[DOI]

CoRR, 2022

GAN Latent Space Manipulation and Aggregation for Federated Learning in Medical Imaging.

[BibT_eX]

[DOI]

Riccardo Emanuele Sarpietro

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.

[BibT_eX]

[DOI]

Francesco Rundo

Carmelo Pino

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.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

Hierarchical 3D Feature Learning for Pancreas Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2021

Hierarchical 3D Feature Learning forPancreas Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Vincenzo Piuri

Angelo Genovese

Ruggero Donida Labati

Fabio Scotti

Sebastiano Battiato

Proceedings of the International Conference on Image Processing and Vision Engineering, 2021

2020

Video Saliency Detection with Domain Adaptation using Hierarchical Gradient Reversal Layers.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans.

[BibT_eX]

[DOI]

Francesca Murabito