Characterizing brain anatomical connections using diffusion weighted MRI and graph theory. - Yasser Iturria-Medina; Erick Jorge Canales-Rodríguez; Lester Melie-García; Pedro A. Valdés-Hernández; Eduardo Martínez-Montes; Yasser Alemán-Gómez; Jose Miguel Sanchez Bornot (NeuroImage, 2007)

Locally Linearized Runge Kutta method of Dormand and Prince. - Juan C. Jiménez; A. Sotolongo; Jose Miguel Sanchez Bornot (Appl. Math. Comput., 2014)

BEM based solution of forward problem for brain source estimation. - Munsif Ali Jatoi; Nidal S. Kamel; Ibrahima Faye; Aamir Saeed Malik; Jose Miguel Sanchez Bornot; Tahamina Begum (ICSIPA, 2015)

EEG-based brain source localization using visual stimuli. - Munsif Ali Jatoi; Nidal S. Kamel; Aamir Saeed Malik; Ibrahima Faye; Jose Miguel Sanchez Bornot; Tahamina Begum (Int. J. Imaging Syst. Technol., 2016)

Single-trial detection of event-related fields in MEG from the presentation of happy faces: Results of the Biomag 2016 data challenge. - Hubert Cecotti; Alexandre Barachant; Jean-Rémi King; Jose Miguel Sanchez Bornot; Girijesh Prasad (EMBC, 2017)

Mammogram classification using dynamic time warping. - Syed Jamal Safdar Gardezi; Ibrahima Faye; Jose Miguel Sanchez Bornot; Nidal S. Kamel; Mohammad Hussain 001 (Multim. Tools Appl., 2018)

M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective. - Su Yang 002; Jose Miguel Sanchez Bornot; KongFatt Wong-Lin; Girijesh Prasad (IEEE Trans. Biomed. Eng., 2019)

Integrated space-frequency-time domain feature extraction for MEG-based Alzheimer's disease classification. - Su Yang 002; Jose Miguel Sanchez Bornot; Ricardo Bruña Fernandez; Farzin Deravi; KongFatt Wong-Lin; Girijesh Prasad (Brain Informatics, 2021)

Detection of Mild Cognitive Impairment with MEG Functional Connectivity Using Wavelet-Based Neuromarkers. - Su Yang 002; Jose Miguel Sanchez Bornot; Ricardo Bruña Fernandez; Farzin Deravi; Sanaul Hoque; KongFatt Wong-Lin; Girijesh Prasad (Sensors, 2021)

Solving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models. - Jose Miguel Sanchez Bornot; Roberto C. Sotero; J. A. Scott Kelso; Damien Coyle (CoRR, 2022)

Exploring Correlation-Based Brain Networks with Adaptive Signed Random Walks. - Roberto C. Sotero; Jose Miguel Sanchez Bornot (CISP-BMEI, 2023)

Dynamic Source Localization and Functional Connectivity Estimation With State-Space Models: Preliminary Feasibility Analysis. - Jose Miguel Sanchez Bornot; Roberto C. Sotero; Damien Coyle (ICASSP Workshops, 2023)

Improving fMRI-based Autism Spectrum Disorder Classification with Random Walks-informed Feature Extraction and Selection. - Roberto Carlos Sotero; Jose Miguel Sanchez Bornot; Yasser Iturria-Medina (ICBRA, 2023)

Examining the Impact of fMRI Preprocessing Steps on Machine Learning-Based Classification of Autism Spectrum Disorder. - Roberto C. Sotero; Jose Miguel Sanchez Bornot; Iman Shaharabi-Farahani; Yasser Iturria-Medina (ICMHI, 2023)

Machine Learning for Time Series Forecasting Using State Space Models. - Jose Miguel Sanchez Bornot; Roberto C. Sotero (IDEAL, 2023)

Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks. - Roberto C. Sotero; Jose Miguel Sanchez Bornot (IDEAL, 2023)

Parameter Estimation in Brain Dynamics Models from Resting-State fMRI Data using Physics-Informed Neural Networks. - Roberto C. Sotero; Jose Miguel Sanchez Bornot; Iman Shaharabi-Farahani (ICBEA, 2024)

Estimating the Excitatory-Inhibitory Balance from Electrocorticography Data using Physics-Informed Neural Networks. - Roberto Carlos Sotero; Jose Miguel Sanchez Bornot (ICBRA, 2024)

Alzheimer's Disease Classification Confidence of Individuals Using Deep Learning on Heterogeneous Data. - Afolabi Salami Alausa; Jose Miguel Sanchez Bornot; Abdoreza Asadpour; Paula L. McClean; KongFatt Wong-Lin (UKCI, 2024)

A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment. - Alwani Liyana Ahmad; Jose Miguel Sanchez Bornot; Roberto C. Sotero; Damien Coyle; Zamzuri Idris; Ibrahima Faye (CoRR, 2024)

Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines. - Alwani Liyana Ahmad; Jose Miguel Sanchez Bornot; Roberto C. Sotero; Damien Coyle; Zamzuri Idris; Ibrahima Faye (CoRR, 2024)

Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models. - Jose Miguel Sanchez Bornot; Roberto C. Sotero; J. A. Scott Kelso; Özgür Simsek; Damien Coyle (NeuroImage, 2024)

Tunnelling Through Time Series: A Probabilistic Visibility Graph for Local and Global Pattern Discovery. - Roberto C. Sotero; Jose Miguel Sanchez Bornot (CoRR, 2025)