Matteo Ferrante

CoRR, 2024

2023

VAESim: A probabilistic approach for self-supervised prototype discovery.

[BibT_eX]

[DOI]

Image Vis. Comput., September, 2023

Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion models.

[BibT_eX]

[DOI]

CoRR, 2023

Through their eyes: multi-subject Brain Decoding with simple alignment techniques.

[BibT_eX]

[DOI]

CoRR, 2023

Brain Captioning: Decoding human brain activity into images and text.

[BibT_eX]

[DOI]

CoRR, 2023

Beyond Multilayer Perceptrons: Investigating Complex Topologies in Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Breaking the Structure of Multilayer Perceptrons with Complex Topologies.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2023

Contrastive learning for unsupervised medical image clustering and reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

The EXPERIENCE Project: Unveiling Extended-Personal Reality Through Automated VR Environments and Explainable Artificial Intelligence.

[BibT_eX]

[DOI]

Mario G. C. A. Cimino

Virginie van Wassenhove

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

2022

Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli.

[BibT_eX]

[DOI]

CoRR, 2022

BayesNetCNN: incorporating uncertainty in neural networks for image-based classification tasks.

[BibT_eX]

[DOI]

CoRR, 2022

Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models.

[BibT_eX]

[DOI]

CoRR, 2022

Physically constrained neural networks to solve the inverse problem for neuron models.

[BibT_eX]

[DOI]

Andrea Duggento

CoRR, 2022

Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancer.

[BibT_eX]

[DOI]

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

Physically constrained neural networks for inferring physiological system models.

[BibT_eX]

[DOI]

Andrea Duggento