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Matteo Ferrante
Andrea Duggento
Nicola Toschi

Showing results (1-10 of 235) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Physically constrained neural networks for inferring physiological system modelsMatteo Ferrante, Andrea Duggento, Nicola Toschi
Neural Networks : the Official Journal of the International Neural Network Society|December 14, 2023
Beyond multilayer perceptrons: Investigating complex topologies in neural networksTommaso Boccato, Matteo Ferrante, Andrea Duggento, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancerMarianna Inglese, Andrea Duggento, Tommaso Boccato, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Recurrent neural networks for reconstructing complex directed brain connectivityAndrea Duggento, Maria Guerrisi, Nicola Toschi
The European Journal of Neuroscience|February 24, 2017
Functional connectivity in amygdalar-sensory/(pre)motor networks at rest: new evidence from the Human Connectome ProjectNicola Toschi, Andrea Duggento, Luca Passamonti
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 25, 2021
Echo state network models for nonlinear Granger causalityAndrea Duggento, Maria Guerrisi, Nicola Toschi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Classification of real-world pathological phonocardiograms through multi-instance learningAndrea Duggento, Allegra Conti, Maria Guerrisi, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 25, 2021
A novel multi-branch architecture for state of the art robust detection of pathological phonocardiogramsAndrea Duggento, Allegra Conti, Maria Guerrisi, et al.
Imaging Neuroscience (Cambridge, Mass.)|July 15, 2026
A modular semantic-structural pipeline for visual decoding from primate spiking data via selective temporal integrationMatteo Ciferri, Matteo Ferrante, Nicola Toschi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
A realistic neuronal network and neurovascular coupling model for the study of multivariate directed connectivity in fMRI dataAndrea Duggento, Luca Passamonti, Maria Guerrisi, et al.
Pageof 24

Showing results (1-10 of 235) with videos related to

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Pageof 24
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Physically constrained neural networks for inferring physiological system modelsMatteo Ferrante, Andrea Duggento, Nicola Toschi
Neural Networks : the Official Journal of the International Neural Network Society|December 14, 2023
Beyond multilayer perceptrons: Investigating complex topologies in neural networksTommaso Boccato, Matteo Ferrante, Andrea Duggento, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancerMarianna Inglese, Andrea Duggento, Tommaso Boccato, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Recurrent neural networks for reconstructing complex directed brain connectivityAndrea Duggento, Maria Guerrisi, Nicola Toschi
The European Journal of Neuroscience|February 24, 2017
Functional connectivity in amygdalar-sensory/(pre)motor networks at rest: new evidence from the Human Connectome ProjectNicola Toschi, Andrea Duggento, Luca Passamonti
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 25, 2021
Echo state network models for nonlinear Granger causalityAndrea Duggento, Maria Guerrisi, Nicola Toschi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Classification of real-world pathological phonocardiograms through multi-instance learningAndrea Duggento, Allegra Conti, Maria Guerrisi, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 25, 2021
A novel multi-branch architecture for state of the art robust detection of pathological phonocardiogramsAndrea Duggento, Allegra Conti, Maria Guerrisi, et al.
Imaging Neuroscience (Cambridge, Mass.)|July 15, 2026
A modular semantic-structural pipeline for visual decoding from primate spiking data via selective temporal integrationMatteo Ciferri, Matteo Ferrante, Nicola Toschi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
A realistic neuronal network and neurovascular coupling model for the study of multivariate directed connectivity in fMRI dataAndrea Duggento, Luca Passamonti, Maria Guerrisi, et al.
Pageof 24