Matteo Ferrante

34 papers Journal 27Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BrainWhisperer: Leveraging Large-Scale ASR Models for Neural Speech Decoding. CoRR Tommaso Boccato, Michal Olak, Matteo Ferrante
2026	J	`jnl`	Decoding the decoder: Contextual sequence-to-sequence modeling for intracortical speech decoding. CoRR Michal Olak, Tommaso Boccato, Matteo Ferrante
2026	J	`jnl`	Simple Models, Rich Representations: Visual Decoding from Primate Intracortical Neural Signals. CoRR Matteo Ciferri, Matteo Ferrante, Nicola Toschi
2026	J	`jnl`	Towards neural foundation models for vision: Aligning EEG, MEG, and fMRI representations for decoding, encoding, and modality conversion. Inf. Fusion Matteo Ferrante, Tommaso Boccato, Grigorii Rashkov, Nicola Toschi
2025	J	`jnl`	Bridging Auditory Perception and Language Comprehension through MEG-Driven Encoding Models. CoRR Matteo Ciferri, Matteo Ferrante, Nicola Toschi
2025	J	`jnl`	Generation of synthetic TSPO PET maps from structural MRI images. Frontiers Neuroinformatics Matteo Ferrante, Marianna Inglese, Ludovica Brusaferri, Nicola Toschi, Marco L. Loggia
2025	J	`jnl`	Transforming Multimodal Models into Action Models for Radiotherapy. CoRR Matteo Ferrante, Alessandra Carosi, Rolando Maria D'Angelillo, Nicola Toschi
2024	J	`jnl`	4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs. Neurocomputing Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
2024	J	`jnl`	Beyond multilayer perceptrons: Investigating complex topologies in neural networks. Neural Networks Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
2024	J	`jnl`	Decoding visual brain representations from electroencephalography through knowledge distillation and latent diffusion models. Comput. Biol. Medicine Matteo Ferrante, Tommaso Boccato, Stefano Bargione, Nicola Toschi
2024	J	`jnl`	Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification. Frontiers Neuroinformatics Matteo Ferrante, Tommaso Boccato, Nicola Toschi
2024	J	`jnl`	Optimizing Genetically-Driven Synaptogenesis. CoRR Tommaso Boccato, Matteo Ferrante, Nicola Toschi
2024	J	`jnl`	Physically informed deep neural networks for metabolite-corrected plasma input function estimation in dynamic PET imaging. Comput. Methods Programs Biomed. 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
2024	J	`jnl`	R&B - Rhythm and Brain: Cross-subject Decoding of Music from Human Brain Activity. CoRR Matteo Ferrante, Matteo Ciferri, Nicola Toschi
2024	J	`jnl`	Towards Neural Foundation Models for Vision: Aligning EEG, MEG, and fMRI Representations for Decoding, Encoding, and Modality Conversion. CoRR Matteo Ferrante, Tommaso Boccato, Grigorii Rashkov, Nicola Toschi
2024	—	`conf`	Transforming Multimodal Models into Action Models for Radiotherapy. AMAI@MICCAI Matteo Ferrante, Alessandra Carosi, Rolando Maria D'Angelillo, Nicola Toschi
2023	J	`jnl`	Beyond Multilayer Perceptrons: Investigating Complex Topologies in Neural Networks. CoRR Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
2023	J	`jnl`	Brain Captioning: Decoding human brain activity into images and text. CoRR Matteo Ferrante, Furkan Ozcelik, Tommaso Boccato, Rufin VanRullen, Nicola Toschi
2023	—	`conf`	Breaking the Structure of Multilayer Perceptrons with Complex Topologies. TAG-ML Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
2023	—	`conf`	Contrastive learning for unsupervised medical image clustering and reconstruction. NLDL Matteo Ferrante, Tommaso Boccato, Andrea Duggento, Simeon E. Spasov, Nicola Toschi
2023	J	`jnl`	Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion models. CoRR Matteo Ferrante, Tommaso Boccato, Stefano Bargione, Nicola Toschi
2023	—	`conf`	Multimodal decoding of human brain activity into images and text. UniReps Matteo Ferrante, Tommaso Boccato, Furkan Ozcelik, Rufin VanRullen, Nicola Toschi
2023	—	`conf`	The EXPERIENCE Project: Unveiling Extended-Personal Reality Through Automated VR Environments and Explainable Artificial Intelligence. MetroXRAINE Gaetano Valenza, Mariano Alcañiz, Antonio Luca Alfeo, Matteo Bianchi, Vladimir Carli, Vincenzo Catrambone, Mario G. C. A. Cimino, Gabriela Dudnik, Andrea Duggento, Matteo Ferrante, Claudio Gentili, Jaime Guixeres, Simone Rossi, Nicola Toschi, Virginie van Wassenhove
2023	J	`jnl`	Through their eyes: multi-subject Brain Decoding with simple alignment techniques. CoRR Matteo Ferrante, Tommaso Boccato, Nicola Toschi
2023	J	`jnl`	VAESim: A probabilistic approach for self-supervised prototype discovery. Image Vis. Comput. Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi
2022	J	`jnl`	4Ward: a Relayering Strategy for Efficient Training of Arbitrarily Complex Directed Acyclic Graphs. CoRR Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
2022	J	`jnl`	Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models. CoRR 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, Stefania Rizzo, Kuangyu Shi, Marta Cremonesi, Barbara Alicja Jereczek-Fossa, Lorenzo Spaggiari, Filippo De Marinis, Roberto Orecchia, Daniela Origgi
2022	J	`jnl`	BayesNetCNN: incorporating uncertainty in neural networks for image-based classification tasks. CoRR Matteo Ferrante, Tommaso Boccato, Nicola Toschi
2022	J	`jnl`	Contrastive learning for unsupervised medical image clustering and reconstruction. CoRR Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi
2022	—	`conf`	Physically constrained neural networks for inferring physiological system models. EMBC Matteo Ferrante, Andrea Duggento, Nicola Toschi
2022	J	`jnl`	Physically constrained neural networks to solve the inverse problem for neuron models. CoRR Matteo Ferrante, Andrea Duggento, Nicola Toschi
2022	J	`jnl`	Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli. CoRR Matteo Ferrante, Tommaso Boccato, Nicola Toschi
2022	—	`conf`	Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancer. EMBC Marianna Inglese, Andrea Duggento, Tommaso Boccato, Matteo Ferrante, Nicola Toschi
2022	J	`jnl`	VAESim: A probabilistic approach for self-supervised prototype discovery. CoRR Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi