Tommaso Boccato

Frontiers Neuroinformatics, 2024

Optimizing Genetically-Driven Synaptogenesis.

[BibT_eX]

[DOI]

CoRR, 2024

Decoding visual brain representations from electroencephalography through knowledge distillation and latent diffusion models.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2024

2023

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

[BibT_eX]

[DOI]

Image Vis. Comput., September, 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

Multimodal decoding of human brain activity into images and text.

[BibT_eX]

[DOI]

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 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

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

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

2021

Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution Generalization.

[BibT_eX]

[DOI]