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ORCIDJose Miguel Sanchez Bornot
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2020 – today
- 2024
[j8]Jose Miguel Sanchez Bornot
, Roberto C. Sotero, J. A. Scott Kelso, Özgür Simsek, Damien Coyle:
Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models. NeuroImage 285: 120458 (2024)- [c11]Roberto C. Sotero, Jose Miguel Sanchez Bornot, Iman Shaharabi-Farahani:
Parameter Estimation in Brain Dynamics Models from Resting-State fMRI Data using Physics-Informed Neural Networks. ICBEA 2024: 73-79 - [c10]Roberto Carlos Sotero, Jose Miguel Sanchez Bornot:
Estimating the Excitatory-Inhibitory Balance from Electrocorticography Data using Physics-Informed Neural Networks. ICBRA 2024: 113-118 - [c9]Afolabi Salami Alausa, Jose Miguel Sanchez Bornot, Abdoreza Asadpour, Paula L. McClean, KongFatt Wong-Lin:
Alzheimer's Disease Classification Confidence of Individuals Using Deep Learning on Heterogeneous Data. UKCI 2024: 208-218 - [i3]Alwani Liyana Ahmad, Jose Miguel Sanchez Bornot, Roberto C. Sotero, Damien Coyle, Zamzuri Idris, Ibrahima Faye:
A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment. CoRR abs/2407.00040 (2024) - [i2]Alwani Liyana Ahmad, Jose Miguel Sanchez Bornot, Roberto C. Sotero, Damien Coyle, Zamzuri Idris, Ibrahima Faye:
Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines. CoRR abs/2408.04815 (2024) - 2023
- [c8]Roberto C. Sotero, Jose Miguel Sanchez Bornot:
Exploring Correlation-Based Brain Networks with Adaptive Signed Random Walks. CISP-BMEI 2023: 1-6 - [c7]Jose Miguel Sanchez Bornot, Roberto C. Sotero, Damien Coyle:
Dynamic Source Localization and Functional Connectivity Estimation With State-Space Models: Preliminary Feasibility Analysis. ICASSP Workshops 2023: 1-5 - [c6]Roberto Carlos Sotero, Jose Miguel Sanchez Bornot, Yasser Iturria-Medina:
Improving fMRI-based Autism Spectrum Disorder Classification with Random Walks-informed Feature Extraction and Selection. ICBRA 2023: 41-47 - [c5]Roberto C. Sotero, Jose Miguel Sanchez Bornot, Iman Shaharabi-Farahani, Yasser Iturria-Medina:
Examining the Impact of fMRI Preprocessing Steps on Machine Learning-Based Classification of Autism Spectrum Disorder. ICMHI 2023: 19-24 - [c4]Roberto C. Sotero, Jose Miguel Sanchez Bornot:
Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks. IDEAL 2023: 222-232 - [c3]Jose Miguel Sanchez Bornot, Roberto C. Sotero:
Machine Learning for Time Series Forecasting Using State Space Models. IDEAL 2023: 470-482 - 2022
- [i1]Jose Miguel Sanchez Bornot, Roberto C. Sotero, J. A. Scott Kelso, Damien Coyle:
Solving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models. CoRR abs/2208.12854 (2022) - 2021
- [j7]Su Yang, Jose Miguel Sanchez Bornot, Ricardo Bruña Fernandez, Farzin Deravi, KongFatt Wong-Lin, Girijesh Prasad:
Integrated space-frequency-time domain feature extraction for MEG-based Alzheimer's disease classification. Brain Informatics 8(1): 24 (2021) - [j6]Su Yang, Jose Miguel Sanchez Bornot, Ricardo Bruña Fernandez, Farzin Deravi, Sanaul Hoque, KongFatt Wong-Lin, Girijesh Prasad:
Detection of Mild Cognitive Impairment with MEG Functional Connectivity Using Wavelet-Based Neuromarkers. Sensors 21(18): 6210 (2021)
2010 – 2019
- 2019
- [j5]Su Yang, Jose Miguel Sanchez Bornot, KongFatt Wong-Lin, Girijesh Prasad:
M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective. IEEE Trans. Biomed. Eng. 66(10): 2924-2935 (2019) - 2018
- [j4]Syed Jamal Safdar Gardezi, Ibrahima Faye, Jose Miguel Sanchez Bornot, Nidal S. Kamel, Mohammad Hussain:
Mammogram classification using dynamic time warping. Multim. Tools Appl. 77(3): 3941-3962 (2018) - 2017
- [c2]Hubert Cecotti, Alexandre Barachant, Jean-Rémi King, Jose Miguel Sanchez Bornot, Girijesh Prasad:
Single-trial detection of event-related fields in MEG from the presentation of happy faces: Results of the Biomag 2016 data challenge. EMBC 2017: 4467-4470 - 2016
- [j3]Munsif Ali Jatoi, Nidal S. Kamel, Aamir Saeed Malik, Ibrahima Faye, Jose Miguel Sanchez Bornot, Tahamina Begum:
EEG-based brain source localization using visual stimuli. Int. J. Imaging Syst. Technol. 26(1): 55-64 (2016) - 2015
- [c1]Munsif Ali Jatoi, Nidal S. Kamel, Ibrahima Faye, Aamir Saeed Malik, Jose Miguel Sanchez Bornot, Tahamina Begum:
BEM based solution of forward problem for brain source estimation. ICSIPA 2015: 180-185 - 2014
- [j2]Juan C. Jiménez, A. Sotolongo, Jose Miguel Sanchez Bornot:
Locally Linearized Runge Kutta method of Dormand and Prince. Appl. Math. Comput. 247: 589-606 (2014)
2000 – 2009
- 2007
- [j1]Yasser Iturria-Medina, Erick Jorge Canales-Rodríguez, Lester Melie-García, Pedro A. Valdés-Hernández, Eduardo Martínez-Montes, Yasser Alemán-Gómez, Jose Miguel Sanchez Bornot:
Characterizing brain anatomical connections using diffusion weighted MRI and graph theory. NeuroImage 36(3): 645-660 (2007)
Coauthor Index
aka: Roberto Carlos Sotero
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