Nicola Vanello

发表

Neural correlates of human-robot handshaking

Enzo Pasquale Scilingo, Nicola Vanello, Daniela Bonino, 2010, 19th International Symposium in Robot and Human Interactive Communication.

Independent component analysis of fMRI data: a model based approach for artifacts separation

Nicola Vanello, Pietro Pietrini, Vincenzo Positano, 2003, First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings..

Decoding underlying brain activities in time and frequency domains through complex independent component analysis of EEG signals

Enzo Pasquale Scilingo, Nicola Vanello, Luigi Landini, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Changes in instantaneous complex dynamics during exercise in Chronic Mountain Sickness

Francesco Faita, Enzo Pasquale Scilingo, Nicola Vanello, 2015, 2015 Computing in Cardiology Conference (CinC).

Exploring the supra linear relationship between PetCO2 and fMRI signal change with ICA

Nicola Vanello, Valentina Hartwig, Luigi Landini, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Hierarchical Clustering Of Independent Components Extracted From fMRI Data

Nicola Vanello, Valentina Hartwig, Luigi Landini, 2005 .

Obstacle detection system based on low quality factor ultrasonic transducers for medical devices

Antonino S. Fiorillo, Salvatore A. Pullano, Nicola Vanello, 2016, 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Analysis of speech features and personality traits

Enzo Pasquale Scilingo, Nicola Vanello, Claudio Gentili, 2019, Biomed. Signal Process. Control..

Computational Analysis of a Radiofrequency Knee Coil for Low-Field MRI Using FDTD

Nicola Vanello, Giulio Giovannetti, Luigi Landini, 2013 .

Assessing the Quality of Heart Rate Variability Estimated from Wrist and Finger PPG: A Novel Approach Based on Cross-Mapping Method

Enzo Pasquale Scilingo, Nicola Vanello, Mimma Nardelli, 2020, Sensors.

Nonlinear Prediction of EEG Signals with Radial Basis Fucntions to Model Sleep Apnea Events

Nicola Vanello, Luigi Landini, M. F. Santarelli, 2004 .

An Automatic Method for the Analysis of Pitch Profile in Bipolar Patients

Enzo Pasquale Scilingo, Nicola Vanello, Luigi Landini, 2013 .

A Manual Segmentation Tool for Three-Dimensional Neuron Datasets

Nicola Vanello, Arti Ahluwalia, Alejandro L. Callara, 2017, Front. Neuroinform..

Correlational analysis of electroencephalographic and end-tidal carbon dioxide signals during breath-hold exercise

Nicola Vanello, Valentina Hartwig, Luigi Landini, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Blind Source Separation of Biomedical Signals: convolutive versus instantaneous algorithms

Nicola Vanello, Vincenzo Positano, Maria Filomena Santarelli, 2005 .

Gotta Trace ‘em All: A Mini-Review on Tools and Procedures for Segmenting Single Neurons Toward Deciphering the Structural Connectome

Nicola Vanello, Alejandro Luis Callara, Chiara Magliaro, 2019, Front. Bioeng. Biotechnol..

On the Use of Linear-Modelling-based Algorithms for Physiological Noise Correction in fMRI Studies of the Central Breathing Control

Nicola Vanello, Valentina Hartwig, Michele Emdin, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Smart Region-Growing algorithm for single-neuron segmentation from confocal and 2-photon datasets

Nicola Vanello, Alejandro Luis Callara, Arti Ahluwalia, 2019 .

Automatic analysis of speech F0 contour for the characterization of mood changes in bipolar patients

Enzo Pasquale Scilingo, Nicola Vanello, Luigi Landini, 2015, Biomed. Signal Process. Control..

Training of the singing voice: a multimodal feature extraction approach

Leonardo Bocchi, Claudia Manfredi, Nicola Vanello, 2008 .

A Smart Region-Growing Algorithm for Single-Neuron Segmentation From Confocal and 2-Photon Datasets

Nicola Vanello, Alejandro Luis Callara, Chiara Magliaro, 2020, Frontiers in Neuroinformatics.

Smart Region-Growing: a novel algorithm for the segmentation of 3D clarified confocal image stacks

Nicola Vanello, Alejandro Luis Callara, Arti Ahluwalia, 2018, bioRxiv.

Introduction to Complex Systems Analysis with Wavelets

Nicola Vanello, Luigi Landini, 2017 .

The Procedure for Quantitative Characterization and Analysis of Magnetic Fields in Magnetic Resonance Sites for Protection of Workers: A Pilot Study

Nicola Vanello, Luigi Landini, Giorgio Virgili, 2019, Annals of work exposures and health.

Skin Admittance Measurement for Emotion Recognition: A Study over Frequency Sweep

Luca Citi, Enzo Pasquale Scilingo, Nicola Vanello, 2016 .

A new Modelling Framework to Study Time-Varying Directional Brain-Heart Interactions: Preliminary Evaluations and Perspectives

Enzo Pasquale Scilingo, Nicola Vanello, Gaetano Valenza, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Comparative evaluation of decomposition algorithms based on frequency domain blind source separation of biomedical signals

Nicola Vanello, Luigi Landini, D. De Rossi, 2005 .

MRI Compatibility Assessment of Mechatronics Devices

Nicola Vanello, V. Positano, Luigi Landini, 2007 .

Analysis of Residual Dependencies of Independent Components Extracted from fMRI Data

Nicola Vanello, Emiliano Ricciardi, Luigi Landini, 2015, Comput. Intell. Neurosci..

Voice quality in patients suffering from bipolar disease

Enzo Pasquale Scilingo, Nicola Vanello, Luigi Landini, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Cross-Correlational Analysis between Electroencephalographic and End-Tidal Carbon Dioxide Signals: Methodological Issues in the Presence of Missing Data and Real Data Results

Nicola Vanello, Luigi Landini, Claudio Passino, 2016, Sensors.

Artificial neural networks for nonlinear time-series forecasting of fMRI signal

Angelo Gemignani, Nicola Vanello, Claudio Gentili, 2008 .

Exploratory analysis of nonlinear coupling between EEG global field power and end-tidal carbon dioxide in free breathing and breath-hold tasks

Enzo Pasquale Scilingo, Nicola Vanello, Claudio Passino, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

QRS Complex Separation from Convolutive Mixtures of Biolectrical Signals Acquired by Wearable Systems

N. Taccini, Nicola Vanello, Luigi Landini, 2005 .

Features of vocal frequency contour and speech rhythm in bipolar disorder

Enzo Pasquale Scilingo, Nicola Vanello, Jean Schoentgen, 2017, Biomed. Signal Process. Control..

Artificially Rendered Cutaneous Cues for a New Generation of Haptic Displays

Matteo Bianchi, Antonio Bicchi, Enzo Pasquale Scilingo, 2012, Immersive Multimodal Interactive Presence.

Data Processing and Wearable Systems for Effective Human Monitoring

Nicola Vanello, Antonio Lanata, Alberto Greco, 2019 .

The dynamics of EEG gamma responses to unpleasant visual stimuli: From local activity to functional connectivity

Angelo Gemignani, Alessandro Pingitore, Nicola Vanello, 2012, NeuroImage.

Estimation of occupational exposure to static magnetic fields due to usual movements in magnetic resonance units

Nicola Vanello, Giulio Giovannetti, Luigi Landini, 2014 .

Filter design for phased-array mr image reconstruction using super algorithm

Nicola Vanello, Luigi Landini, Nicola Martini, 2012 .

Magnetic resonance butterfly coils: Design and application for hyperpolarized 13C studies

Nicola Vanello, Luca Menichetti, Maria Filomena Santarelli, 2013 .

A real-time adaptive filtering approach to motion artefacts removal from ECG signals

Nicola Vanello, Luigi Landini, Nicola Martini, 2010 .

Databrain: A web-accessible database for three-dimensional reconstructions and quantitative morphometrics of neurons

Nicola Vanello, Alessandro Tognetti, D. De Rossi, 2017 .

New Imaging Frontiers in Cardiology: Fast and Quantitative Maps from Raw Data.

Nicola Vanello, Luigi Landini, Maria Filomena Santarelli, 2017, Current pharmaceutical design.

An automatic method for separation and identification of biomedical signals from convolutive mixtures by independent component analysis in the frequency domain

Nicola Vanello, Luigi Landini, D. De Rossi, 2005 .

Separation and Identification of Biomedical Signals based on Frequency Domain Independent Component Analysis

Nicola Vanello, Vincenzo Positano, Maria Filomena Santarelli, 2005 .

A theory for the estimation of SNR degradation caused by clock jitter in MRI systems

Nicola Vanello, Giulio Giovannetti, Luigi Landini, 2007 .

Combining Electrodermal Activity and Speech Analysis towards a more Accurate Emotion Recognition System

Claudia Marzi, Enzo Pasquale Scilingo, Nicola Vanello, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Speech analysis for mood state characterization in bipolar patients

Enzo Pasquale Scilingo, Nicola Vanello, Gaetano Valenza, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

On the deconvolution analysis of electrodermal activity in bipolar patients

Enzo Pasquale Scilingo, Nicola Vanello, Gaetano Valenza, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

FMRI Compatible Sensing Glove for Hand Gesture Monitoring

Antonio Bicchi, Enzo Pasquale Scilingo, Nicola Vanello, 2012, Immersive Multimodal Interactive Presence.

EEG Processing to Discriminate Transitive-Intransitive Motor Imagery Tasks: Preliminary Evidences using Support Vector Machines

Giuseppe Averta, Matteo Bianchi, Antonio Bicchi, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Time-Resolved Directional Brain–Heart Interplay Measurement Through Synthetic Data Generation Models

Enzo Pasquale Scilingo, Nicola Vanello, Gaetano Valenza, 2019, Annals of Biomedical Engineering.

Understanding of the existing and future medical procedures with MR scanners: a novel tool for estimation of occupational exposure

Nicola Vanello, Giulio Giovannetti, Luigi Landini, 2011 .

Evaluation of a pitch estimation algorithm for speech emotion recognition

Leonardo Bocchi, Claudia Manfredi, Nicola Vanello, 2009, MAVEBA.

Effects of Continuous Kinaesthetic Feedback Based on Tendon Vibration on Motor Imagery BCI Performance

Antonio Frisoli, Massimo Bergamasco, Nicola Vanello, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Artefacts Removal in Signals Acquired with Wearable Systems using Blind Separation of Convolutive Mixtures

Nicola Vanello, Danilo De Rossi, Luigi Landini, 2004 .

Active mechatronic interface for haptic perception studies with functional magnetic resonance imaging: compatibility and design criteria

Antonio Bicchi, Enzo Pasquale Scilingo, Nicola Vanello, 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

Analysis of running speech for the characterization of mood state in bipolar patients

Enzo Pasquale Scilingo, Nicola Vanello, Luigi Landini, 2015, 2015 AEIT International Annual Conference (AEIT).

Smartphone Application for the Analysis of Prosodic Features in Running Speech with a Focus on Bipolar Disorders: System Performance Evaluation and Case Study

Enzo Pasquale Scilingo, Nicola Vanello, Danilo De Rossi, 2015, Sensors.

Independent component analysis applied to the removal of motion artifacts from electrocardiographic signals

Nicola Vanello, Luigi Landini, Nicola Martini, 2008, Medical & Biological Engineering & Computing.

Odor valence modulates cortico-cortical interactions: a preliminary study using DCM for EEG

Enzo Pasquale Scilingo, Nicola Vanello, Claudio Gentili, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Parasympathetic-Sympathetic Causal Interactions Assessed by Time-Varying Multivariate Autoregressive Modeling of Electrodermal Activity and Heart-Rate-Variability

Enzo Pasquale Scilingo, Nicola Vanello, Alejandro Luis Callara, 2021, IEEE Transactions on Biomedical Engineering.

Optimising Speaker-Dependent Feature Extraction Parameters to Improve Automatic Speech Recognition Performance for People with Dysarthria

Luca Fanucci, Nicola Vanello, Marco Marini, 2021, Sensors.

A novel event-related fMRI supervoxels-based representation and its application to schizophrenia diagnosis

Nicola Vanello, Carlos A. Reyes-Garcia, Claudia Cruz Martinez, 2021, Comput. Methods Programs Biomed..

Towards a model of arousal change after affective word pronunciation based on electrodermal activity and speech analysis

Claudia Marzi, Enzo Pasquale Scilingo, Nicola Vanello, 2021, Biomed. Signal Process. Control..

B(1)(+)/actual flip angle and reception sensitivity mapping methods: simulation and comparison.

Nicola Vanello, Luigi Landini, Massimo Lombardi, 2011, Magnetic resonance imaging.

Proneness to social anxiety modulates neural complexity in the absence of exposure: A resting state fMRI study using Hurst exponent

Nicola Vanello, Emiliano Ricciardi, Pietro Pietrini, 2015, Psychiatry Research: Neuroimaging.

Frontiers in Systems Neuroscience Systems Neuroscience

Nicola Vanello, Emiliano Ricciardi, Pietro Pietrini, 2022 .

Combination of event-related potentials and functional magnetic resonance imaging during single-letter reading

Nicola Vanello, Daniela Bonino, Emiliano Ricciardi, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Differential modulation of neural activity throughout the distributed neural system for face perception in patients with Social Phobia and healthy subjects

Nicola Vanello, Emiliano Ricciardi, Pietro Pietrini, 2008, Brain Research Bulletin.

A compatibility test for tactile displays designed for fMRI studies

Antonio Bicchi, Nicola Vanello, Emiliano Ricciardi, 2004 .

Is the genotoxic effect of magnetic resonance negligible? Low persistence of micronucleus frequency in lymphocytes of individuals after cardiac scan.

Nicola Vanello, Luigi Landini, Massimo Lombardi, 2008, Mutation research.

A novel tool for estimation of magnetic resonance occupational exposure to spatially varying magnetic fields

Nicola Vanello, Luigi Landini, Massimo Lombardi, 2011, Magnetic Resonance Materials in Physics, Biology and Medicine.

Biological Effects and Safety in Magnetic Resonance Imaging: A Review

Nicola Vanello, Luigi Landini, Massimo Lombardi, 2009, International journal of environmental research and public health.