Intra- and inter-beat modeling of cardiovascular dynamics and control: Assessing haemodynamic stability and responsiveness. - Nicola Toschi; Andrea Duggento; Antonio Canichella; Filadelfo Coniglione; Mario Dauri; Alessandro F. Sabato; Maria Guerrisi (EMBC, 2011)

Globally conditioned causality in estimating directed brain-heart interactions through joint MRI and RR series analysis. - Andrea Duggento; Marta Bianciardi; Lawrence L. Wald; Luca Passamonti; Maria Guerrisi; Riccardo Barbieri; Nicola Toschi (EMBC, 2015)

Distribution-aware estimation of the minimum achievable uncertainty in diffusion-tensor imaging (DTI). - Andrea Duggento; Marco Giannelli; Carlo Tessa; Simona Lanzafame; Maria Guerrisi; Nicola Toschi (EMBC, 2016)

Reconstructing multivariate causal structure between functional brain networks through a Laguerre-Volterra based Granger causality approach. - Andrea Duggento; Gaetano Valenza; Luca Passamonti; Maria Guerrisi; Riccardo Barbieri; Nicola Toschi (EMBC, 2016)

Forecasting nanoparticle toxicity using nonlinear predictive regressor learning systems. - Nicola Toschi; Stefano Ciulli; Stefano Diciotti; Andrea Duggento; Maria Guerrisi; Andrea Magrini; Luisa Campagnolo; Antonio Pietroiusti (EMBC, 2016)

Predicting seizures in untreated temporal lobe epilepsy using point-process nonlinear models of heartbeat dynamics. - Gaetano Valenza; Andrea Romigi; Luca Citi; Fabio Placidi; Francesca Izzi; Maria Albanese; Enzo Pasquale Scilingo; Maria Grazia Marciani; Andrea Duggento; Maria Guerrisi; Nicola Toschi; Riccardo Barbieri (EMBC, 2016)

Simultaneous estimation of the in-mean and in-variance causal connectomes of the human brain. - Andrea Duggento; Luca Passamonti; Maria Guerrisi; Nicola Toschi (EMBC, 2017)

Estimating directed brain-brain and brain-heart connectivity through globally conditioned Granger causality approaches. - Andrea Duggento; Luca Passamonti; Maria Guerrisi; Gaetano Valenza; Riccardo Barbieri; Nicola Toschi (EMBC, 2017)

Dynamic inter-network connectivity in the human brain. - R. Riccelli; Luca Passamonti; Andrea Duggento; Maria Guerrisi; Iole Indovina; Nicola Toschi (EMBC, 2017)

Dynamical brain connectivity estimation using GARCH models: An application to personality neuroscience. - R. Riccelli; Luca Passamonti; Andrea Duggento; Maria Guerrisi; Iole Indovina; Antonio Terracciano; Nicola Toschi (EMBC, 2017)

Resting-state brain correlates of instantaneous autonomic outflow. - Gaetano Valenza; Andrea Duggento; Luca Passamonti; Stefano Diciotti; Carlo Tessa; Riccardo Barbieri; Nicola Toschi (EMBC, 2017)

Resting-state brain correlates of cardiovascular complexity. - Gaetano Valenza; Andrea Duggento; Luca Passamonti; Stefano Diciotti; Carlo Tessa; Nicola Toschi; Riccardo Barbieri (EMBC, 2017)

A realistic neuronal network and neurovascular coupling model for the study of multivariate directed connectivity in fMRI data. - Andrea Duggento; Luca Passamonti; Maria Guerrisi; Nicola Toschi (EMBC, 2018)

A Multi-modal Convolutional Neural Network Framework for the Prediction of Alzheimer's Disease. - Simeon E. Spasov; Luca Passamonti; Andrea Duggento; Pietro Liò; Nicola Toschi (EMBC, 2018)

Recurrent neural networks for reconstructing complex directed brain connectivity. - Andrea Duggento; Maria Guerrisi; Nicola Toschi (EMBC, 2019)

A random initialization deep neural network for discriminating malignant breast cancer lesions. - Andrea Duggento; Manuel Scimeca; Nicoletta Urbano; Elena Bonanno; Marco Aiello 003; Carlo Cavaliere; Giuseppe Leonardo Cascella; Davide Cascella; Giovanni Conte; Maria Guerrisi; Nicola Toschi (EMBC, 2019)

Resting State Neural Correlates of Cardiac Sympathetic Dynamics in Healthy Subjects. - Gaetano Valenza; Andrea Duggento; Luca Passamonti; Nicola Toschi; Riccardo Barbieri (EMBC, 2019)

Variability and Reproducibility of Directed and Undirected Functional MRI Connectomes in the Human Brain. - Allegra Conti; Andrea Duggento; Maria Guerrisi; Luca Passamonti; Iole Indovina; Nicola Toschi (Entropy, 2019)

A Parsimonious Granger Causality Formulation for Capturing Arbitrarily Long Multivariate Associations. - Andrea Duggento; Gaetano Valenza; Luca Passamonti; Salvatore Nigro; Maria Giovanna Bianco; Maria Guerrisi; Riccardo Barbieri; Nicola Toschi (Entropy, 2019)

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease. - Simeon E. Spasov; Luca Passamonti; Andrea Duggento; Pietro Liò; Nicola Toschi (NeuroImage, 2019)

The central autonomic network at rest: Uncovering functional MRI correlates of time-varying autonomic outflow. - Gaetano Valenza; Roberta Sclocco; Andrea Duggento; Luca Passamonti; Vitaly Napadow; Riccardo Barbieri; Nicola Toschi (NeuroImage, 2019)

Frequency dependent functional brain reorganization in anesthesia is specific to drug concentration. - Allegra Conti; Oluwaseun Akeju; Andrea Duggento; Shubham Chamadia; Riccardo Barbieri; Nicola Toschi (EMBC, 2020)

Unsupervised stratification in neuroimaging through deep latent embeddings. - Giovanna Maria Dimitri; Simeon E. Spasov; Andrea Duggento; Luca Passamonti; Pietro Lio'; Nicola Toschi (EMBC, 2020)

Classification of real-world pathological phonocardiograms through multi-instance learning. - Andrea Duggento; Allegra Conti; Maria Guerrisi; Nicola Toschi (EMBC, 2021)

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)

An intertwined neural network model for EEG classification in brain-computer interfaces. - Andrea Duggento; Mario De Lorenzo; Stefano Bargione; Allegra Conti; Vincenzo Catrambone; Gaetano Valenza; Nicola Toschi (CoRR, 2022)

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

Editorial: Synchronization, Swarming and Emergent Behaviors in Complex Networks and Neuroscience. - Andrea Duggento; Spase Petkoski; Tomislav Stankovski; Nicola Toschi (Frontiers Comput. Neurosci., 2022)

Multimodal and multicontrast image fusion via deep generative models. - Giovanna Maria Dimitri; Simeon E. Spasov; Andrea Duggento; Luca Passamonti; Pietro Lió; Nicola Toschi (Inf. Fusion, 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)

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

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)