Luca Passamonti

Orcid: 0000-0002-7937-0615

According to our database1, Luca Passamonti authored at least 35 papers between 2008 and 2023.

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

Timeline

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PhD thesis 
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Bibliography

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

2022
Noradrenergic deficits contribute to apathy in Parkinson's disease through the precision of expected outcomes.
PLoS Comput. Biol., 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

2021
An <i>in vivo</i> probabilistic atlas of the human locus coeruleus at ultra-high field.
NeuroImage, 2021

Relationship between tau, neuroinflammation and atrophy in Alzheimer's disease: The NIMROD study.
Inf. Fusion, 2021

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

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

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
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

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

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

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

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
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

2015
Increased functional connectivity within mesocortical networks in open people.
NeuroImage, 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

2012
5-HTTLPR-environment interplay and its effects on neural reactivity in adolescents.
NeuroImage, 2012

2009
Anxiety predicts a differential neural response to attended and unattended facial signals of anger and fear.
NeuroImage, 2009

2008
Connectivity from the ventral anterior cingulate to the amygdala is modulated by appetitive motivation in response to facial signals of aggression.
NeuroImage, 2008

Genetically dependent modulation of serotonergic inactivation in the human prefrontal cortex.
NeuroImage, 2008


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