Physically constrained neural networks for inferring physiological system models. - Matteo Ferrante; Andrea Duggento; Nicola Toschi (EMBC, 2022)

Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancer. - Marianna Inglese; Andrea Duggento; Tommaso Boccato; Matteo Ferrante; Nicola Toschi (EMBC, 2022)

Physically constrained neural networks to solve the inverse problem for neuron models. - Matteo Ferrante; Andrea Duggento; Nicola Toschi (CoRR, 2022)

Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models. - Matteo Ferrante; Lisa Rinaldi; Francesca Botta; Xiaobin Hu; Andreas Dolp; Marta Minotti; Francesca De Piano; Gianluigi Funicelli; Stefania Volpe; Federica Bellerba; Paolo De Marco; Sara Raimondi; et al. (CoRR, 2022)

BayesNetCNN: incorporating uncertainty in neural networks for image-based classification tasks. - Matteo Ferrante; Tommaso Boccato; Nicola Toschi (CoRR, 2022)

Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli. - Matteo Ferrante; Tommaso Boccato; Nicola Toschi (CoRR, 2022)

The EXPERIENCE Project: Unveiling Extended-Personal Reality Through Automated VR Environments and Explainable Artificial Intelligence. - Gaetano Valenza; Mariano Alcañiz; Antonio Luca Alfeo; Matteo Bianchi 002; Vladimir Carli; Vincenzo Catrambone; Mario G. C. A. Cimino; Gabriela Dudnik; Andrea Duggento; Matteo Ferrante; Claudio Gentili; Jaime Guixeres; et al. (MetroXRAINE, 2023)

Contrastive learning for unsupervised medical image clustering and reconstruction. - Matteo Ferrante; Tommaso Boccato; Andrea Duggento; Simeon E. Spasov; Nicola Toschi (NLDL, 2023)

Breaking the Structure of Multilayer Perceptrons with Complex Topologies. - Tommaso Boccato; Matteo Ferrante; Andrea Duggento; Nicola Toschi (TAG-ML, 2023)

Multimodal decoding of human brain activity into images and text. - Matteo Ferrante; Tommaso Boccato; Furkan Ozcelik; Rufin VanRullen; Nicola Toschi (UniReps, 2023)

Brain Captioning: Decoding human brain activity into images and text. - Matteo Ferrante; Furkan Ozcelik; Tommaso Boccato; Rufin VanRullen; Nicola Toschi (CoRR, 2023)

Through their eyes: multi-subject Brain Decoding with simple alignment techniques. - Matteo Ferrante; Tommaso Boccato; Nicola Toschi (CoRR, 2023)

VAESim: A probabilistic approach for self-supervised prototype discovery. - Matteo Ferrante; Tommaso Boccato; Simeon E. Spasov; Andrea Duggento; Nicola Toschi (Image Vis. Comput., 2023)

Transforming Multimodal Models into Action Models for Radiotherapy. - Matteo Ferrante; Alessandra Carosi; Rolando Maria D'Angelillo; Nicola Toschi (AMAI@MICCAI, 2024)

Decoding visual brain representations from electroencephalography through knowledge distillation and latent diffusion models. - Matteo Ferrante; Tommaso Boccato; Stefano Bargione; Nicola Toschi (Comput. Biol. Medicine, 2024)

Physically informed deep neural networks for metabolite-corrected plasma input function estimation in dynamic PET imaging. - Matteo Ferrante; Marianna Inglese; Ludovica Brusaferri; Alexander C. Whitehead; Lucia Maccioni; Federico E. Turkheimer; Maria A. Nettis; Valeria Mondelli; Oliver D. Howes; Marco L. Loggia; Mattia Veronese; Nicola Toschi (Comput. Methods Programs Biomed., 2024)

Optimizing Genetically-Driven Synaptogenesis. - Tommaso Boccato; Matteo Ferrante; Nicola Toschi (CoRR, 2024)

R&B - Rhythm and Brain: Cross-subject Decoding of Music from Human Brain Activity. - Matteo Ferrante; Matteo Ciferri; Nicola Toschi (CoRR, 2024)

Towards Neural Foundation Models for Vision: Aligning EEG, MEG, and fMRI Representations for Decoding, Encoding, and Modality Conversion. - Matteo Ferrante; Tommaso Boccato; Grigorii Rashkov; Nicola Toschi (CoRR, 2024)

Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification. - Matteo Ferrante; Tommaso Boccato; Nicola Toschi (Frontiers Neuroinformatics, 2024)

Beyond multilayer perceptrons: Investigating complex topologies in neural networks. - Tommaso Boccato; Matteo Ferrante; Andrea Duggento; Nicola Toschi (Neural Networks, 2024)

4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs. - Tommaso Boccato; Matteo Ferrante; Andrea Duggento; Nicola Toschi (Neurocomputing, 2024)

Bridging Auditory Perception and Language Comprehension through MEG-Driven Encoding Models. - Matteo Ciferri; Matteo Ferrante; Nicola Toschi (CoRR, 2025)