Alessia Bramanti

According to our database1, Alessia Bramanti authored at least 26 papers between 2011 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects.
Sensors, August, 2023

2022
Effects of diffusion signal modeling and segmentation approaches on subthalamic nucleus parcellation.
NeuroImage, 2022

White matter substrates of functional connectivity dynamics in the human brain.
NeuroImage, 2022

2021
Ventral intermediate nucleus structural connectivity-derived segmentation: anatomical reliability and variability.
NeuroImage, 2021

ReportFlow: an application for EEG visualization and reporting using cloud platform.
BMC Medical Informatics Decis. Mak., 2021

Discovering common pathogenetic processes between COVID-19 and diabetes mellitus by differential gene expression pattern analysis.
Briefings Bioinform., 2021

2019
A Movement-Tremors Recorder for Patients of Neurodegenerative Diseases.
IEEE Trans. Instrum. Meas., 2019

Brain Network Analysis of Compressive Sensed High-Density EEG Signals in AD and MCI Subjects.
IEEE Trans. Ind. Informatics, 2019

An Innovative Methodology for Big Data Visualization for Telemedicine.
IEEE Trans. Ind. Informatics, 2019

A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings.
Neurocomputing, 2019

A Time-Frequency based Machine Learning System for Brain States Classification via EEG Signal Processing.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Permutation Jaccard Distance-Based Hierarchical Clustering to Estimate EEG Network Density Modifications in MCI Subjects.
IEEE Trans. Neural Networks Learn. Syst., 2018

An OAIS-Based Hospital Information System on the Cloud: Analysis of a NoSQL Column-Oriented Approach.
IEEE J. Biomed. Health Informatics, 2018

Compressibility of High-Density EEG Signals in Stroke Patients.
Sensors, 2018

Combining EEG signal processing with supervised methods for Alzheimer's patients classification.
BMC Medical Informatics Decis. Mak., 2018

Metaplasticity: A Promising Tool to Disentangle Chronic Disorders of Consciousness Differential Diagnosis.
Int. J. Neural Syst., 2018

A movement monitoring system for patients of neurodegenerative diseases.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

2017
Permutation Disalignment Index as an Indirect, EEG-Based, Measure of Brain Connectivity in MCI and AD Patients.
Int. J. Neural Syst., 2017

2016
Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings.
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

A Hybrid Storage Service for the Management of Big e-Health Data: A Tele-Rehabilitation Case of Study.
Proceedings of the 12th ACM Symposium on QoS and Security for Wireless and Mobile Networks, 2016

Hierarchical clustering of the electroencephalogram spectral coherence to study the changes in brain connectivity in Alzheimer's disease.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A Longitudinal EEG Study of Alzheimer's Disease Progression Based on A Complex Network Approach.
Int. J. Neural Syst., 2015

2013
EEG Complexity Modifications and Altered Compressibility in Mild Cognitive Impairment and Alzheimer's Disease.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

2012
Multivariate Multi-Scale Permutation Entropy for Complexity Analysis of Alzheimer's Disease EEG.
Entropy, 2012

Artificial Neural Network (ANN) Morphological Classification of Magnetic Resonance Imaging in Multiple Sclerosis.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

2011
Classification of morphological features extracted from intracranial pressure recordings in the diagnosis of Normal Pressure Hydrocephalus (NPH).
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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