Jose Miguel Sanchez Bornot

Orcid: 0000-0003-4014-4255

According to our database1, Jose Miguel Sanchez Bornot authored at least 17 papers between 2007 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models.
NeuroImage, January, 2024

2023
Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Machine Learning for Time Series Forecasting Using State Space Models.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Examining the Impact of fMRI Preprocessing Steps on Machine Learning-Based Classification of Autism Spectrum Disorder.
Proceedings of the 7th International Conference on Medical and Health Informatics, 2023

Improving fMRI-based Autism Spectrum Disorder Classification with Random Walks-informed Feature Extraction and Selection.
Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023

Dynamic Source Localization and Functional Connectivity Estimation With State-Space Models: Preliminary Feasibility Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2023

Exploring Correlation-Based Brain Networks with Adaptive Signed Random Walks.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023

2022
Solving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models.
CoRR, 2022

2021
Detection of Mild Cognitive Impairment with MEG Functional Connectivity Using Wavelet-Based Neuromarkers.
Sensors, 2021

Integrated space-frequency-time domain feature extraction for MEG-based Alzheimer's disease classification.
Brain Informatics, 2021

2019
M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective.
IEEE Trans. Biomed. Eng., 2019

2018
Mammogram classification using dynamic time warping.
Multim. Tools Appl., 2018

2017
Single-trial detection of event-related fields in MEG from the presentation of happy faces: Results of the Biomag 2016 data challenge.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
EEG-based brain source localization using visual stimuli.
Int. J. Imaging Syst. Technol., 2016

2015
BEM based solution of forward problem for brain source estimation.
Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015

2014
Locally Linearized Runge Kutta method of Dormand and Prince.
Appl. Math. Comput., 2014

2007
Characterizing brain anatomical connections using diffusion weighted MRI and graph theory.
NeuroImage, 2007


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