Jose Miguel Sanchez Bornot
Orcid: 0000-0003-4014-4255
According to our database1,
Jose Miguel Sanchez Bornot
authored at least 22 papers
between 2007 and 2024.
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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
Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines.
CoRR, 2024
A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment.
CoRR, 2024
Alzheimer's Disease Classification Confidence of Individuals Using Deep Learning on Heterogeneous Data.
Proceedings of the Advances in Computational Intelligence Systems, 2024
Estimating the Excitatory-Inhibitory Balance from Electrocorticography Data using Physics-Informed Neural Networks.
Proceedings of the 11th International Conference on Bioinformatics Research and Applications, 2024
Parameter Estimation in Brain Dynamics Models from Resting-State fMRI Data using Physics-Informed Neural Networks.
Proceedings of the 8th International Conference on Biomedical Engineering and Applications, 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
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
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
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
Int. J. Imaging Syst. Technol., 2016
2015
Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015
2014
Appl. Math. Comput., 2014
2007
Characterizing brain anatomical connections using diffusion weighted MRI and graph theory.
NeuroImage, 2007