Nicola Toschi

Orcid: 0000-0003-1929-5833

According to our database1, Nicola Toschi authored at least 88 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs.
Neurocomputing, February, 2024

The EXPERIENCE Project: Automatic virtualization of "extended personal reality" through biomedical signal processing and explainable artificial intelligence [Applications Corner].
IEEE Signal Process. Mag., January, 2024

Beyond multilayer perceptrons: Investigating complex topologies in neural networks.
Neural Networks, 2024

Stochastic brain dynamics exhibits differential regional distribution and maturation-related changes.
NeuroImage, 2024

Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification.
Frontiers Neuroinformatics, 2024

R&B - Rhythm and Brain: Cross-subject Decoding of Music from Human Brain Activity.
CoRR, 2024

Optimizing Genetically-Driven Synaptogenesis.
CoRR, 2024

Physically informed deep neural networks for metabolite-corrected plasma input function estimation in dynamic PET imaging.
Comput. Methods Programs Biomed., 2024

Decoding visual brain representations from electroencephalography through knowledge distillation and latent diffusion models.
Comput. Biol. Medicine, 2024

2023
VAESim: A probabilistic approach for self-supervised prototype discovery.
Image Vis. Comput., September, 2023

From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks.
Comput. Methods Programs Biomed., June, 2023

Through their eyes: multi-subject Brain Decoding with simple alignment techniques.
CoRR, 2023

Brain Captioning: Decoding human brain activity into images and text.
CoRR, 2023

Multimodal decoding of human brain activity into images and text.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

Breaking the Structure of Multilayer Perceptrons with Complex Topologies.
Proceedings of the Topological, 2023

Contrastive learning for unsupervised medical image clustering and reconstruction.
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

DBGSL: Dynamic Brain Graph Structure Learning.
Proceedings of the Medical Imaging with Deep Learning, 2023

DBGDGM: Dynamic Brain Graph Deep Generative Model.
Proceedings of the Medical Imaging with Deep Learning, 2023

The EXPERIENCE Project: Unveiling Extended-Personal Reality Through Automated VR Environments and Explainable Artificial Intelligence.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

2022
A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data.
Medical Image Anal., 2022

Multimodal and multicontrast image fusion via deep generative models.
Inf. Fusion, 2022

Editorial: Synchronization, Swarming and Emergent Behaviors in Complex Networks and Neuroscience.
Frontiers Comput. Neurosci., 2022

Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli.
CoRR, 2022

BayesNetCNN: incorporating uncertainty in neural networks for image-based classification tasks.
CoRR, 2022

Physically constrained neural networks to solve the inverse problem for neuron models.
CoRR, 2022

An intertwined neural network model for EEG classification in brain-computer interfaces.
CoRR, 2022

Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancer.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Physically constrained neural networks for inferring physiological system models.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Compartmental models for diffusion weighted MRI reveal widespread brain changes in HIV-infected patients.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Classification of real-world pathological phonocardiograms through multi-instance learning.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

An interpretable machine learning model to explain the interplay between brain lesions and cortical atrophy in multiple sclerosis.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Whole-brain white matter network reorganization in HIV.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
A Body Tracking-Based Low-Cost Solution for Monitoring Workers' Hygiene Best Practices during Pandemics.
Sensors, 2020

Structural connectome and connectivity lateralization of the multimodal vestibular cortical network.
NeuroImage, 2020

Towards a predictive spatio-temporal representation of brain data.
CoRR, 2020

Disruption of brain network organization in patients with human immunodeficiency virus (HIV) infection.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Global and local reorganization of brain network connectivity in sudden sensorineural hearing loss.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

A novel Graph Attention Network Architecture for modeling multimodal brain connectivity.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Unsupervised stratification in neuroimaging through deep latent embeddings.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Frequency dependent functional brain reorganization in anesthesia is specific to drug concentration.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Disruption of structural brain networks in Primary Open Angle Glaucoma.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

A deep spatiotemporal graph learning architecture for brain connectivity analysis.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Non-Invasive Detection of Mechanical Alternans Utilizing Photoplethysmography.
IEEE J. Biomed. Health Informatics, 2019

The central autonomic network at rest: Uncovering functional MRI correlates of time-varying autonomic outflow.
NeuroImage, 2019

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.
NeuroImage, 2019

A Parsimonious Granger Causality Formulation for Capturing Arbitrarily Long Multivariate Associations.
Entropy, 2019

Variability and Reproducibility of Directed and Undirected Functional MRI Connectomes in the Human Brain.
Entropy, 2019

A Machine Learning Tool for Interpreting Differences in Cognition Using Brain Features.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

Resting State Neural Correlates of Cardiac Sympathetic Dynamics in Healthy Subjects.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Whole brain in vivo axonal diameter mapping in multiple sclerosis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Disruption of brain network organization in primary open angle glaucoma.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Reduced betweenness centrality of a sensory-motor vestibular network in subclinical agoraphobia.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A random initialization deep neural network for discriminating malignant breast cancer lesions.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Recurrent neural networks for reconstructing complex directed brain connectivity.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
A probabilistic template of human mesopontine tegmental nuclei from <i>in vivo</i> 7 T MRI.
NeuroImage, 2018

A Multi-modal Convolutional Neural Network Framework for the Prediction of Alzheimer's Disease.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Structural connectome of the human vestibular, pre-motor, and navigation network <sup>*</sup>.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A realistic neuronal network and neurovascular coupling model for the study of multivariate directed connectivity in fMRI data.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Detecting Mechanical Alternans Utilizing Photoplethysmography.
Proceedings of the Computing in Cardiology, 2018

2017
Resting-state brain correlates of cardiovascular complexity.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Resting-state brain correlates of instantaneous autonomic outflow.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Early axonal damage in normal appearing white matter in multiple sclerosis: Novel insights from multi-shell diffusion MRI.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Dynamical brain connectivity estimation using GARCH models: An application to personality neuroscience.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Dynamic inter-network connectivity in the human brain.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Estimating directed brain-brain and brain-heart connectivity through globally conditioned Granger causality approaches.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Simultaneous estimation of the in-mean and in-variance causal connectomes of the human brain.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Prediction of Impaired Performance in Trail Making Test in MCI Patients With Small Vessel Disease Using DTI Data.
IEEE J. Biomed. Health Informatics, 2016

Assessment of spontaneous cardiovascular oscillations in Parkinson's disease.
Biomed. Signal Process. Control., 2016

Predicting seizures in untreated temporal lobe epilepsy using point-process nonlinear models of heartbeat dynamics.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Brain-heart linear and nonlinear dynamics during visual emotional elicitation in healthy subjects.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Forecasting nanoparticle toxicity using nonlinear predictive regressor learning systems.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Reconstructing multivariate causal structure between functional brain networks through a Laguerre-Volterra based Granger causality approach.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Distribution-aware estimation of the minimum achievable uncertainty in diffusion-tensor imaging (DTI).
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Toward an <i>In Vivo</i> Neuroimaging Template of Human Brainstem Nuclei of the Ascending Arousal, Autonomic, and Motor Systems.
Brain Connect., 2015

Intraoperative hemodynamics predict postoperative mortality in orthotopic liver transplantation.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Globally conditioned causality in estimating directed brain-heart interactions through joint MRI and RR series analysis.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Multimodal MRI classification in vascular mild cognitive impairment.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Lower Instantaneous Entropy of Heartbeat Dynamics during Seizures in Untreated Temporal Lobe Epilepsy.
Proceedings of the Computing in Cardiology, 2015

2014
Lower Instantaneous Entropy of Heartbeat Dynamics Characterizes Cognitive Impairment in Parkinson's Disease.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013
Increased Instability of Heartbeat Dynamics in Parkinson's Disease.
Proceedings of the Computing in Cardiology, 2013

2012
Quantifying uncertainty in Transcranial Magnetic Stimulation - A high resolution simulation study in ICBM space.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Comparisons of predictors of fluid responsiveness in major surgery.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Effects of propofol anesthesia induction on the relationship between arterial blood pressure and heart rate.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Identification of Mild Alzheimer's Disease through automated classification of structural MRI features.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Intra- and inter-beat modeling of cardiovascular dynamics and control: Assessing haemodynamic stability and responsiveness.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Arterial blood pressure regulation following aorta clamping and declamping during surgery.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Estimation of baroreflex sensitivity during anesthesia induction with propofol.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2008
Interventricular coupling coefficients in a thick shell model of passive cardiac chamber deformation.
Medical Biol. Eng. Comput., 2008


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