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Structurally constrained effective brain connectivity

NeuroImage (Orlando, Fla.), 2021-10, Vol.239, p.118288-118288, Article 118288

2021

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Chronic and Acute Intranasal Oxytocin Produce Divergent Social Effects in Mice

Neuropsychopharmacology (New York, N.Y.), 2014-04, Vol.39 (5), p.1102-1114

2014

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AI models for automated segmentation of engineered polycystic kidney tubules

Scientific reports, 2024-02, Vol.14 (1), p.2847-16, Article 2847

2024

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Author Correction: AI models for automated segmentation of engineered polycystic kidney tubules

Scientific reports, 2024-02, Vol.14 (1), p.4781-4781, Article 4781

2024

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Automatic visual tracking and social behaviour analysis with multiple mice

PloS one, 2013-09, Vol.8 (9), p.e74557-e74557

2013

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Unsupervised Spike Sorting for Large-Scale, High-Density Multielectrode Arrays

Cell reports (Cambridge), 2017-03, Vol.18 (10), p.2521-2532

2017

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MultiLink Analysis: Brain Network Comparison via Sparse Connectivity Analysis

Scientific reports, 2019-01, Vol.9 (1), p.65-65, Article 65

2019

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A novel unsupervised analysis of electrophysiological signals reveals new sleep substages in mice

PLoS biology, 2018-05, Vol.16 (5), p.e2003663-e2003663

2018

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Modeling a population of retinal ganglion cells with restricted Boltzmann machines

Scientific reports, 2020-10, Vol.10 (1), p.16549-16549, Article 16549

2020

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Addressing signal alterations induced in CT images by deep learning processing: A preliminary phantom study

Physica medica, 2021-03, Vol.83, p.88-100

2021

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Functional connectivity estimation over large networks at cellular resolution based on electrophysiological recordings and structural prior

Frontiers in neuroanatomy, 2014-11, Vol.8, p.137-137

2014

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Multi-branch convolutional neural network for multiple sclerosis lesion segmentation

NeuroImage (Orlando, Fla.), 2019-08, Vol.196, p.1-15

2019

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New Trends in Image Analysis and Processing - ICIAP 2015 Workshops: ICIAP 2015 International Workshops, BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM, Genoa, Italy, September 7-8, 2015, Proceedings

1st ed. 2015, 2015

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AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

Medical image analysis, 2021-12, Vol.74, p.102216-102216, Article 102216

2021

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Investigating the spectral features of the brain meso‐scale structure at rest

Human brain mapping, 2021-10, Vol.42 (15), p.5113-5129

2021

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Discovering functional connectivity features characterizing multiple sclerosis phenotypes using explainable artificial intelligence

Human brain mapping, 2023-04, Vol.44 (6), p.2294-2306

2023

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Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, p.781-785

2020

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The Role of Brain Network Functional Connectivity and Machine Learning for the Classification and Characterization of Disease Phenotypes in Patients with Multiple Sclerosis (2672)

Neurology, 2021-04, Vol.96 (15_supplement)

2021

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The role of brain network functional connectivity and machine learning for the classification and characterization of disease phenotypes in patients with multiple sclerosis

Journal of the neurological sciences, 2021-10, Vol.429, p.117770, Article 117770

2021

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Towards Benchmarking Scene Background Initialization

New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops, 2015, Vol.9281, p.469-476

2015

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Searching for Functional Neuromarkers of Multiple Sclerosis: A Geodesic Distance-Based Framework on Riemannian Manifolds of Brain Connectivity

SoutheastCon 2024, 2024, p.977-982

2024

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Bridging the gap in connectomic studies: A particle filtering framework for estimating structural connectivity at network scale

Medical image analysis, 2015-04, Vol.21 (1), p.1-14

2015

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MANGO - Mobile Augmented Reality with Functional Eating Guidance and Food Awareness

New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops, 2015, Vol.9281, p.425-432

2015

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Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine

Neural networks, 2015-10, Vol.70, p.61-73

2015

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Structurally constrained effective brain connectivity

Chronic and Acute Intranasal Oxytocin Produce Divergent Social Effects in Mice

AI models for automated segmentation of engineered polycystic kidney tubules

Author Correction: AI models for automated segmentation of engineered polycystic kidney tubules

Automatic visual tracking and social behaviour analysis with multiple mice

Unsupervised Spike Sorting for Large-Scale, High-Density Multielectrode Arrays

MultiLink Analysis: Brain Network Comparison via Sparse Connectivity Analysis

A novel unsupervised analysis of electrophysiological signals reveals new sleep substages in mice

Modeling a population of retinal ganglion cells with restricted Boltzmann machines

Addressing signal alterations induced in CT images by deep learning processing: A preliminary phantom study

Functional connectivity estimation over large networks at cellular resolution based on electrophysiological recordings and structural prior

Multi-branch convolutional neural network for multiple sclerosis lesion segmentation

New Trends in Image Analysis and Processing - ICIAP 2015 Workshops: ICIAP 2015 International Workshops, BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM, Genoa, Italy, September 7-8, 2015, Proceedings

AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

Investigating the spectral features of the brain meso‐scale structure at rest

Discovering functional connectivity features characterizing multiple sclerosis phenotypes using explainable artificial intelligence

Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI

The Role of Brain Network Functional Connectivity and Machine Learning for the Classification and Characterization of Disease Phenotypes in Patients with Multiple Sclerosis (2672)

The role of brain network functional connectivity and machine learning for the classification and characterization of disease phenotypes in patients with multiple sclerosis

Towards Benchmarking Scene Background Initialization

Searching for Functional Neuromarkers of Multiple Sclerosis: A Geodesic Distance-Based Framework on Riemannian Manifolds of Brain Connectivity

Bridging the gap in connectomic studies: A particle filtering framework for estimating structural connectivity at network scale

AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

MANGO - Mobile Augmented Reality with Functional Eating Guidance and Food Awareness

Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine

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