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Journal Articles
- 2024
[j6]Matteo Ferrante
, Tommaso Boccato, Stefano Bargione, Nicola Toschi:
Decoding visual brain representations from electroencephalography through knowledge distillation and latent diffusion models. Comput. Biol. Medicine 178: 108701 (2024)- [j5]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:
Physically informed deep neural networks for metabolite-corrected plasma input function estimation in dynamic PET imaging. Comput. Methods Programs Biomed. 256: 108375 (2024) - [j4]Matteo Ferrante, Tommaso Boccato, Nicola Toschi:
Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification. Frontiers Neuroinformatics 18 (2024) - [j3]Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi:
4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs. Neurocomputing 568: 127058 (2024) - [j2]Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi:
Beyond multilayer perceptrons: Investigating complex topologies in neural networks. Neural Networks 171: 215-228 (2024) - 2023
- [j1]Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi:
VAESim: A probabilistic approach for self-supervised prototype discovery. Image Vis. Comput. 137: 104746 (2023)
Conference and Workshop Papers
- 2023
- [c6]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:
The EXPERIENCE Project: Unveiling Extended-Personal Reality Through Automated VR Environments and Explainable Artificial Intelligence. MetroXRAINE 2023: 757-762 - [c5]Matteo Ferrante, Tommaso Boccato, Andrea Duggento, Simeon E. Spasov, Nicola Toschi:
Contrastive learning for unsupervised medical image clustering and reconstruction. NLDL 2023 - [c4]Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi:
Breaking the Structure of Multilayer Perceptrons with Complex Topologies. TAG-ML 2023: 289-301 - [c3]Matteo Ferrante, Tommaso Boccato, Furkan Ozcelik, Rufin VanRullen, Nicola Toschi:
Multimodal decoding of human brain activity into images and text. UniReps 2023: 87-101 - 2022
- [c2]Matteo Ferrante, Andrea Duggento, Nicola Toschi:
Physically constrained neural networks for inferring physiological system models. EMBC 2022: 148-151 - [c1]Marianna Inglese, Andrea Duggento, Tommaso Boccato, Matteo Ferrante, Nicola Toschi:
Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancer. EMBC 2022: 186-189
Informal and Other Publications
- 2024
- [i13]Tommaso Boccato, Matteo Ferrante, Nicola Toschi:
Optimizing Genetically-Driven Synaptogenesis. CoRR abs/2402.07242 (2024) - [i12]Matteo Ferrante, Matteo Ciferri, Nicola Toschi:
R&B - Rhythm and Brain: Cross-subject Decoding of Music from Human Brain Activity. CoRR abs/2406.15537 (2024) - 2023
- [i11]Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi:
Beyond Multilayer Perceptrons: Investigating Complex Topologies in Neural Networks. CoRR abs/2303.17925 (2023) - [i10]Matteo Ferrante, Furkan Ozcelik, Tommaso Boccato, Rufin VanRullen, Nicola Toschi:
Brain Captioning: Decoding human brain activity into images and text. CoRR abs/2305.11560 (2023) - [i9]Matteo Ferrante, Tommaso Boccato, Nicola Toschi:
Through their eyes: multi-subject Brain Decoding with simple alignment techniques. CoRR abs/2309.00627 (2023) - [i8]Matteo Ferrante, Tommaso Boccato, Stefano Bargione, Nicola Toschi:
Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion models. CoRR abs/2309.07149 (2023) - 2022
- [i7]Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi:
4Ward: a Relayering Strategy for Efficient Training of Arbitrarily Complex Directed Acyclic Graphs. CoRR abs/2209.02037 (2022) - [i6]Matteo Ferrante, Andrea Duggento, Nicola Toschi:
Physically constrained neural networks to solve the inverse problem for neuron models. CoRR abs/2209.11998 (2022) - [i5]Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi:
Contrastive learning for unsupervised medical image clustering and reconstruction. CoRR abs/2209.12005 (2022) - [i4]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:
Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models. CoRR abs/2209.12027 (2022) - [i3]Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi:
VAESim: A probabilistic approach for self-supervised prototype discovery. CoRR abs/2209.12279 (2022) - [i2]Matteo Ferrante, Tommaso Boccato, Nicola Toschi:
BayesNetCNN: incorporating uncertainty in neural networks for image-based classification tasks. CoRR abs/2209.13096 (2022) - [i1]Matteo Ferrante, Tommaso Boccato, Nicola Toschi:
Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli. CoRR abs/2212.06726 (2022)
Coauthor Index
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