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Elisa Magosso

Professoressa ordinaria

Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi"

Settore scientifico disciplinare: IBIO-01/A Bioingegneria

Pubblicazioni

Fraternali, Matteo; Magosso, Elisa; Borra, Davide, Inferring Arm Movement Direction from EEG Signals Using Explainable Deep Learning, «SENSORS», 2026, 26, Article number: 1235, pp. 1 - 26 [articolo]

Borra, D.; Bonsangue, V.; Straudi, S.; Magosso, E., Revealing EEG signatures of intervention in disorder of consciousness using artificial intelligence: methodology and feasibility, «COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE», 2026, 275, Article number: 109159, pp. 1 - 21 [articolo]

Borra, Davide; Diciotti, Stefano; Magosso, Elisa, A Compact Convolutional Neural Network for Decoding EEG Functional Connectivity: Application to Motor Imagery, in: Lecture Notes in Computer Science, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN COMPUTER SCIENCE», 2025, 15510, pp. 102 - 115 (atti di: 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, Castiglione della Pescaia, Italia, 2024) [Contributo in Atti di convegno]

Borra, D.; Magosso, E., A deep learning-enriched framework for analyzing brain functional connectivity, «SCIENTIFIC REPORTS», 2025, 15, Article number: 34504, pp. 1 - 26 [articolo]

Borra, Davide; Magosso, Elisa; Ravanelli, Mirco, A protocol for trustworthy EEG decoding with neural networks, «NEURAL NETWORKS», 2025, 182, Article number: 106847, pp. 1 - 22 [articolo]Open Access

Trajkovic, Jelena; Ricci, Giulia; Pirazzini, Gabriele; Tarasi, Luca; Di Gregorio, Francesco; Magosso, Elisa; Ursino, Mauro; Romei, Vincenzo, Aberrant Functional Connectivity and Brain Network Organization in High-Schizotypy Individuals: An Electroencephalography Study, «SCHIZOPHRENIA BULLETIN», 2025, 51, pp. 1266 - 1281 [articolo]Open Access

Borra, Davide; Benedetti, Agnese; Magosso, Elisa, Automatically Revealing Multi-Domain EEG Signatures Related to Motor Imagery Using a Fully-Interpretable Convolutional Neural Network, in: 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, «ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY», 2025, 2025, pp. 1 - 7 (atti di: 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenaghen, Danimarca, 2025) [Contributo in Atti di convegno]

Magosso, E.; Bruno, P.; Borra, D., Combining EEG Oscillation Analysis and Explainable Artificial Intelligence for Characterizing Visuospatial Attention, in: Lecture Notes in Computer Science, CHAM, Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN COMPUTER SCIENCE», 2025, 15510, pp. 1 - 16 (atti di: 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, Italia, Castiglion della Pescaia, 2024) [Contributo in Atti di convegno]Open Access

Borra, Davide; Fraternali, Matteo; Bonsangue, Valentina; Lavezzi, Susanna; Straudi, Sofia; Magosso, Elisa, Interpretable and Explainable AI Reveals EEG Signatures of Intervention in Minimally Conscious State Patients, in: Lecture Notes in Computer Science, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN COMPUTER SCIENCE», 2025, 15735, pp. 52 - 56 (atti di: 23rd International Conference on Artificial Intelligence in Medicine, AIME 2025, Pavia, Italia, 2025) [Contributo in Atti di convegno]

Borra, Davide; Magosso, Elisa, Unveiling multi-domain signatures of EEG oscillations using a fully-interpretable convolutional neural network, «COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE», 2025, 271, Article number: 109008, pp. 1 - 24 [articolo]

Borra, D.; Filippini, M.; Ursino, M.; Fattori, P.; Magosso, E., Convolutional neural networks reveal properties of reach-to-grasp encoding in posterior parietal cortex, «COMPUTERS IN BIOLOGY AND MEDICINE», 2024, 172, Article number: 108188, pp. 1 - 16 [articolo]Open Access

Borra, D.; Diciotti, S.; Magosso, E., EEG Features Learned by Convolutional Neural Networks Reflect Alterations of Social Stimuli Processing in Autism, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, 15019, pp. 124 - 136 (atti di: 33rd International Conference on Artificial Neural Networks, ICANN 2024, che, 2024) [Contributo in Atti di convegno]Open Access

Borra, D.; Fraternali, M.; Ravanelli, M.; Magosso, E., Multi-modal Decoding of Reach-to-Grasping from EEG and EMG via Neural Networks, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, 15154, pp. 168 - 179 (atti di: 11th IAPR TC3 workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2024, can, 2024) [Contributo in Atti di convegno]Open Access

Magosso, Elisa; Borra, Davide, The strength of anticipated distractors shapes EEG alpha and theta oscillations in a Working Memory task, «NEUROIMAGE», 2024, 300, Article number: 120835, pp. 1 - 18 [articolo]Open Access

Borra D.; Filippini M.; Ursino M.; Fattori P.; Magosso E., A Bayesian-Optimized Convolutional Neural Network to Decode Reach-to-Grasp from Macaque Dorsomedial Visual Stream, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN COMPUTER SCIENCE», 2023, 13811, pp. 473 - 487 (atti di: 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, held in conjunction with the 2nd Advanced Course and Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022, Certosa di Pontignano, Siena, Italia, 2022) [Contributo in Atti di convegno]Open Access