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

NeuroImage (Orlando, Fla.), 2019-04, Vol.189, p.276-287

2019

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Functional connectivity in amygdalar‐sensory/(pre)motor networks at rest: new evidence from the Human Connectome Project

The European journal of neuroscience, 2017-05, Vol.45 (9), p.1224-1229

2017

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Multivariate Granger causality unveils directed parietal to prefrontal cortex connectivity during task-free MRI

Scientific reports, 2018-04, Vol.8 (1), p.5571-11, Article 5571

2018

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Editorial: Synchronization, Swarming and Emergent Behaviors in Complex Networks and Neuroscience

Frontiers in computational neuroscience, 2022-03, Vol.16, p.846189-846189

2022

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Patient-clinician brain concordance underlies causal dynamics in nonverbal communication and negative affective expressivity

Translational psychiatry, 2022-01, Vol.12 (1), p.44-44, Article 44

2022

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Dynamical Bayesian inference of time-evolving interactions: from a pair of coupled oscillators to networks of oscillators

Physical review. E, Statistical, nonlinear, and soft matter physics, 2012-12, Vol.86 (6 Pt 1), p.061126-061126, Article 061126

2012

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Heart rate variability in untreated newly diagnosed temporal lobe epilepsy: Evidence for ictal sympathetic dysregulation

Epilepsia (Copenhagen), 2016-03, Vol.57 (3), p.418-426

2016

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Heritability of human “directed” functional connectome

Brain and behavior, 2023-05, Vol.13 (5), p.e2839-n/a

2023

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Serological determinants of COVID-19

Biology direct, 2020-11, Vol.15 (1), p.21-21, Article 21

2020

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Causal influence of brainstem response to transcutaneous vagus nerve stimulation on cardiovagal outflow

Brain stimulation, 2023-11, Vol.16 (6), p.1557-1565

2023

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Radiomics in breast cancer classification and prediction

Seminars in cancer biology, 2021-07, Vol.72, p.238-250

2021

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Variability and Reproducibility of Directed and Undirected Functional MRI Connectomes in the Human Brain

Entropy (Basel, Switzerland), 2019-07, Vol.21 (7), p.661

2019

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A tutorial on time-evolving dynamical Bayesian inference

The European physical journal. ST, Special topics, 2014-12, Vol.223 (13), p.2685-2703

2014

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Interactive Echocardiography Translation Using Few-Shot GAN Transfer Learning

Computational and mathematical methods in medicine, 2020, Vol.2020 (2020), p.1-9

2020

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A Long Short-Term Memory Ensemble Approach for Improving the Outcome Prediction in Intensive Care Unit

Computational and mathematical methods in medicine, 2019, Vol.2019 (2019), p.1-10

2019

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A novel approach for geographical risk mapping of morbidity and mortality rates: the case of Val D'Agri, Italy

Scientific reports, 2019-07, Vol.9 (1), p.10348-12, Article 10348

2019

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Multicenter Computer-Aided Diagnosis for Lymph Nodes Using Unsupervised Domain-Adaptation Networks Based on Cross-Domain Confounding Representations

Computational and mathematical methods in medicine, 2020, Vol.2020 (2020), p.1-10

2020

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Magnetic Resonance Methods for Focused Ultrasound-Induced Blood-Brain Barrier Opening

Frontiers in physics, 2020-09, Vol.8

2020

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A Parsimonious Granger Causality Formulation for Capturing Arbitrarily Long Multivariate Associations

Entropy (Basel, Switzerland), 2019-06, Vol.21 (7), p.629

2019

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Editorial: Magnetic Resonance-Guided Focused Ultrasound: Physical Principles and Biomedical Applications

Frontiers in physics, 2021-05, Vol.9

2021

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Echo state network models for nonlinear Granger causality

Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2021-12, Vol.379 (2212)

2021

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Deep computational pathology in breast cancer

Seminars in cancer biology, 2021-07, Vol.72, p.226-237

2021

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Uncovering complex central autonomic networks at rest: a functional magnetic resonance imaging study on complex cardiovascular oscillations

Journal of the Royal Society interface, 2020-03, Vol.17 (164), p.20190878

2020

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Beyond multilayer perceptrons: Investigating complex topologies in neural networks

Neural networks, 2024-03, Vol.171, p.215-228

2024

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VAESim: A probabilistic approach for self-supervised prototype discovery

Image and vision computing, 2023-09, Vol.137, p.104746, Article 104746

2023

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

Functional connectivity in amygdalar‐sensory/(pre)motor networks at rest: new evidence from the Human Connectome Project

Multivariate Granger causality unveils directed parietal to prefrontal cortex connectivity during task-free MRI

Editorial: Synchronization, Swarming and Emergent Behaviors in Complex Networks and Neuroscience

Patient-clinician brain concordance underlies causal dynamics in nonverbal communication and negative affective expressivity

Dynamical Bayesian inference of time-evolving interactions: from a pair of coupled oscillators to networks of oscillators

Heart rate variability in untreated newly diagnosed temporal lobe epilepsy: Evidence for ictal sympathetic dysregulation

Heritability of human “directed” functional connectome

Serological determinants of COVID-19

Causal influence of brainstem response to transcutaneous vagus nerve stimulation on cardiovagal outflow

Radiomics in breast cancer classification and prediction

Variability and Reproducibility of Directed and Undirected Functional MRI Connectomes in the Human Brain

A tutorial on time-evolving dynamical Bayesian inference

Interactive Echocardiography Translation Using Few-Shot GAN Transfer Learning

A Long Short-Term Memory Ensemble Approach for Improving the Outcome Prediction in Intensive Care Unit

A novel approach for geographical risk mapping of morbidity and mortality rates: the case of Val D'Agri, Italy

Multicenter Computer-Aided Diagnosis for Lymph Nodes Using Unsupervised Domain-Adaptation Networks Based on Cross-Domain Confounding Representations

Magnetic Resonance Methods for Focused Ultrasound-Induced Blood-Brain Barrier Opening

A Parsimonious Granger Causality Formulation for Capturing Arbitrarily Long Multivariate Associations

Editorial: Magnetic Resonance-Guided Focused Ultrasound: Physical Principles and Biomedical Applications

Echo state network models for nonlinear Granger causality

Deep computational pathology in breast cancer

Uncovering complex central autonomic networks at rest: a functional magnetic resonance imaging study on complex cardiovascular oscillations

Beyond multilayer perceptrons: Investigating complex topologies in neural networks

VAESim: A probabilistic approach for self-supervised prototype discovery

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