Time-frequency spectral estimation of multichannel EEG using the Auto-SLEX method. - Stephen D. Cranstoun; Hernando C. Ombao; Rainer von Sachs; Wensheng Guo; Brian Litt (IEEE Trans. Biomed. Eng., 2002)

Statistical tests for fMRI based on experimental randomization. - Jonathan Raz; Hui Zheng; Hernando Ombao; Bruce I. Turetsky (NeuroImage, 2003)

Comparing extent of activation: a robust permutation approach. - Mark A. Gamalo; Hernando Ombao; J. Richard Jennings (NeuroImage, 2005)

Time-dependent frequency domain principal components analysis of multichannel non-stationary signals. - Hernando Ombao; Moon-ho Ringo Ho (Comput. Stat. Data Anal., 2006)

Classification of functional brain images with a spatio-temporal dissimilarity map. - Svetlana V. Shinkareva; Hernando C. Ombao; Bradley P. Sutton; Aprajita Mohanty; Gregory A. Miller (NeuroImage, 2006)

Minimax Adaptive Spectral Estimation From an Ensemble of Signals. - Florentina Bunea; Hernando Ombao; Anna Auguste (IEEE Trans. Signal Process., 2006)

Time-frequency discriminant analysis of MEG signals. - Moon-ho Ringo Ho; Hernando Ombao; J. Christopher Edgar; José M. Cañive; Gregory A. Miller (NeuroImage, 2008)

Sequential Change-Point Detection Methods for Nonstationary Time Series. - Hyun-young Choi; Hernando Ombao; Bonnie K. Ray (Technometrics, 2008)

Evolutionary Coherence of Nonstationary Signals. - Hernando Ombao; Sébastien Van Bellegem (IEEE Trans. Signal Process., 2008)

Functional connectivity: Shrinkage estimation and randomization test. - Mark Fiecas; Hernando Ombao; Crystal Linkletter; Wesley K. Thompson; Jerome N. Sanes (NeuroImage, 2010)

Penalized least squares regression methods and applications to neuroimaging. - Florentina Bunea; Yiyuan She; Hernando Ombao; Assawin Gongvatana; Kate Devlin; Ronald Cohen (NeuroImage, 2011)

Introduction to the special issue on best papers from the SLDM competition. - Joseph S. Verducci; Hernando Ombao (Stat. Anal. Data Min., 2011)

Investigating brain connectivity using mixed effects vector autoregressive models. - Cristina Gorrostieta; Hernando Ombao; Patrick Bédard; Jerome N. Sanes (NeuroImage, 2012)

Hierarchical vector auto-regressive models and their applications to multi-subject effective connectivity. - Cristina Gorrostieta; Mark Fiecas; Hernando Ombao; Erin Burke; Steven C. Cramer (Frontiers Comput. Neurosci., 2013)

Quantifying temporal correlations: A test-retest evaluation of functional connectivity in resting-state fMRI. - Mark Fiecas; Hernando Ombao; Dan van Lunen; Richard Baumgartner; Alexandre Coimbra; Dai Feng (NeuroImage, 2013)

Modeling and Estimation of Covariance of Replicated Modulated Cyclical Time Series. - Sofia C. Olhede; Hernando Ombao (IEEE Trans. Signal Process., 2013)

A Semiparametric Bayesian Model for Detecting Synchrony Among Multiple Neurons. - Babak Shahbaba; Bo Zhou 003; Shiwei Lan; Hernando Ombao; David Moorman; Sam Behseta (Neural Comput., 2014)

Estimating Time-Evolving Partial Coherence Between Signals via Multivariate Locally Stationary Wavelet Processes. - Timothy Park; Idris A. Eckley; Hernando C. Ombao (IEEE Trans. Signal Process., 2014)

Topological seizure origin detection in electroencephalographic signals. - Yuan Wang 057; Hernando Ombao; Moo K. Chung (ISBI, 2015)

Simultaneous control of error rates in fMRI data analysis. - Hakmook Kang; Jeffrey Blume; Hernando Ombao; David Badre (NeuroImage, 2015)

Modeling Effective Connectivity in High-Dimensional Cortical Source Signals. - Yuxiao Wang 006; Chee-Ming Ting; Hernando C. Ombao (IEEE J. Sel. Top. Signal Process., 2016)

A Bayesian Double Fusion Model for Resting-State Brain Connectivity Using Joint Functional and Structural Data. - Hakmook Kang; Hernando C. Ombao; Christopher Fonnesbeck; Zhaohua Ding; Victoria L. Morgan (Brain Connect., 2017)

A Unified Estimation Framework for State-Related Changes in Effective Brain Connectivity. - S. Balqis Samdin; Chee-Ming Ting; Hernando Ombao; Sh-Hussain Salleh (IEEE Trans. Biomed. Eng., 2017)

The Hierarchical Spectral Merger Algorithm: A New Time Series Clustering Procedure. - Carolina Euán; Hernando C. Ombao; Joaquín Ortega (J. Classif., 2018)

Modeling Binary Time Series Using Gaussian Processes with Application to Predicting Sleep States. - Xu Gao; Babak Shahbaba; Hernando C. Ombao (J. Classif., 2018)

Statistical models for brain signals with properties that evolve across trials. - Hernando C. Ombao; Mark Fiecas; Chee-Ming Ting; Yin Fen Low (NeuroImage, 2018)

Dynamic classification using multivariate locally stationary wavelet processes. - Timothy Park; Idris A. Eckley; Hernando C. Ombao (Signal Process., 2018)

Estimating Dynamic Connectivity States in fMRI Using Regime-Switching Factor Models. - Chee-Ming Ting; Hernando C. Ombao; S. Balqis Samdin; Sh-Hussain Salleh (IEEE Trans. Medical Imaging, 2018)

Short-segment Heart Sound Classification Using an Ensemble of Deep Convolutional Neural Networks. - Fuad Noman; Chee-Ming Ting; Sh-Hussain Salleh; Hernando C. Ombao (ICASSP, 2019)

Statistical Persistent Homology of Brain Signals. - Yuan Wang 057; Hernando C. Ombao; Moo K. Chung (ICASSP, 2019)

Estimating Brain Connectivity Using Copula Gaussian Graphical Models. - Xu Gao; Weining Shen; Chee-Ming Ting; Steven C. Cramer; Ramesh Srinivasan; Hernando C. Ombao (ISBI, 2019)

Detecting State Changes in Community Structure of Functional Brain Networks Using a Markov-Switching Stochastic Block Model. - S. Balqis Samdin; Chee-Ming Ting; Hernando C. Ombao (ISBI, 2019)

Modeling Local Field Potentials with Regularized Matrix Data Clustering. - Xu Gao; Weining Shen; Jianhua Hu; Norbert Fortin; Hernando C. Ombao (NER, 2019)

Classification of EEG-based Effective Brain Connectivity in Schizophrenia using Deep Neural Networks. - Chun-Ren Phang; Chee-Ming Ting; S. Balqis Samdin; Hernando C. Ombao (NER, 2019)

Exploratory Analysis of Brain Signals through Low Dimensional Embedding. - Yuxiao Wang 006; Chee-Ming Ting; Xu Gao; Hernando C. Ombao (NER, 2019)

Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes. - Lingge Li; Dustin S. Pluta; Babak Shahbaba; Norbert Fortin; Hernando Ombao; Pierre Baldi (NeurIPS, 2019)

Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network. - Chun-Ren Phang; Chee-Ming Ting; Fuad Noman; Hernando C. Ombao (CoRR, 2019)

Evaluation of monofractal and multifractal properties of inter-beat (R-R) intervals in cardiac signals for differentiation between the normal and pathology classes. - Oleg N. Gorshkov; Hernando C. Ombao (IET Signal Process., 2019)

Modeling Spectral Properties in Stationary Processes of Varying Dimensions with Applications to Brain Local Field Potential Signals. - Raanju R. Sundararajan; Ron Frostig; Hernando C. Ombao (Entropy, 2020)

A Markov-Switching Model Approach to Heart Sound Segmentation and Classification. - Fuad Noman; Sh-Hussain Salleh; Chee-Ming Ting; S. Balqis Samdin; Hernando C. Ombao; Hadri Hussain (IEEE J. Biomed. Health Informatics, 2020)

A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns. - Chun-Ren Phang; Fuad Noman; Hadri Hussain; Chee-Ming Ting; Hernando C. Ombao (IEEE J. Biomed. Health Informatics, 2020)

Inference on Long-Range Temporal Correlations in Human EEG Data. - Rachel J. Smith; Hernando C. Ombao; Daniel W. Shrey; Beth A. Lopour (IEEE J. Biomed. Health Informatics, 2020)

Multi-Scale Factor Analysis of High-Dimensional Functional Connectivity in Brain Networks. - Chee-Ming Ting; Hernando C. Ombao; Sh-Hussain Salleh; Ahmad Zubaidi Abdul Latif (IEEE Trans. Netw. Sci. Eng., 2020)

Lattice Paths for Persistent Diagrams. - Moo K. Chung; Hernando C. Ombao (iMIMIC/TDA4MedicalData@MICCAI, 2021)

Clustering Brain Signals: a Robust Approach Using Functional Data Ranking. - Tianbo Chen; Ying Sun 002; Carolina Euán; Hernando C. Ombao (J. Classif., 2021)

Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI. - Chee-Ming Ting; Jeremy I. Skipper; Steven L. Small; Hernando C. Ombao (CoRR, 2021)

Topological Data Analysis of COVID-19 Virus Spike Proteins. - Moo K. Chung; Hernando C. Ombao (CoRR, 2021)

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. - Fuad Noman; Chee-Ming Ting; Hakmook Kang; Raphael C.-W. Phan; Brian D. Boyd; Warren D. Taylor; Hernando C. Ombao (CoRR, 2021)

Multi-Chaotic Analysis of Inter-Beat (R-R) Intervals in Cardiac Signals for Discrimination between Normal and Pathological Classes. - Oleg N. Gorshkov; Hernando C. Ombao (Entropy, 2021)

Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach. - Chee-Ming Ting; S. Balqis Samdin; Meini Tang; Hernando C. Ombao (IEEE Trans. Medical Imaging, 2021)

Frequency-Specific Non-Linear Granger Causality in a Network of Brain Signals. - Archishman Biswas; Hernando C. Ombao (ICASSP, 2022)

Graph Autoencoder-Based Embedded Learning in Dynamic Brain Networks for Autism Spectrum Disorder Identification. - Fuad Noman; Sin-Yee Yap; Raphaël C.-W. Phan; Hernando C. Ombao; Chee-Ming Ting (ICIP, 2022)

Granger Causality using Neural Networks. - Samuel Horváth; Malik Shahid Sultan; Hernando Ombao (CoRR, 2022)

Bayesian Parameter Inference for Partially Observed SDEs driven by Fractional Brownian Motion. - Mohamed Maama; Ajay Jasra; Hernando Ombao (CoRR, 2022)

Graph-Regularized Manifold-Aware Conditional Wasserstein GAN for Brain Functional Connectivity Generation. - Yee-Fan Tan; Chee-Ming Ting; Fuad Noman; Raphaël C.-W. Phan; Hernando Ombao (CoRR, 2022)

Markov-switching state-space models with applications to neuroimaging. - David Degras; Chee-Ming Ting; Hernando C. Ombao (Comput. Stat. Data Anal., 2022)

Wavelet testing for a replicate-effect within an ordered multiple-trial experiment. - Jonathan Embleton; Marina I. Knight; Hernando C. Ombao (Comput. Stat. Data Anal., 2022)

Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels. - Guilllermo Granados-Garcia; Mark Fiecas; Babak Shahbaba; Norbert Fortin; Hernando C. Ombao (Comput. Stat. Data Anal., 2022)

Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI. - Chee-Ming Ting; Jeremy I. Skipper; Fuad Noman; Steven L. Small; Hernando C. Ombao (IEEE Trans. Medical Imaging, 2022)

A Unified Framework for Static and Dynamic Functional Connectivity Augmentation for Multi-Domain Brain Disorder Classification. - Yee-Fan Tan; Chee-Ming Ting; Fuad Noman; Raphaël C.-W. Phan; Hernando C. Ombao (ICIP, 2023)

Antithetic Multilevel Particle Filters. - Ajay Jasra; Mohamed Maama; Hernando Ombao (CoRR, 2023)

Stylized Projected GAN: A Novel Architecture for Fast and Realistic Image Generation. - Md Nurul Muttakin; Malik Shahid Sultan; Robert Hoehndorf; Hernando Ombao (CoRR, 2023)

Bayesian parameter inference for partially observed stochastic differential equations driven by fractional Brownian motion. - Mohamed Maama; Ajay Jasra; Hernando C. Ombao (Stat. Comput., 2023)

Statistical inference for dependence networks in topological data analysis. - Anass B. El-Yaagoubi; Moo K. Chung; Hernando Ombao (Frontiers Artif. Intell., 2023)

Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference. - Luiza S. C. Piancastelli; Nial Friel; Wagner Barreto-Souza; Hernando C. Ombao (J. Comput. Graph. Stat., 2023)

Editorial for the special issue on Time Series Analysis. - Konstantinos Fokianos; Claudia Kirch; Hernando C. Ombao (Comput. Stat. Data Anal., 2023)

bids-specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2023)

Topological Data Analysis for Multivariate Time Series Data. - Anass B. El-Yaagoubi; Moo K. Chung; Hernando Ombao (Entropy, 2023)

Statistical Spectral and Coherence Analysis of Electroencephalography (EEG) Data: Neural Biomarkers of Attention Deficit Hyperactivity Disorder (ADHD). - Fai Alismail; Hernando Ombao (BIBM, 2024)

BrainFC-CGAN: A Conditional Generative Adversarial Network for Brain Functional Connectivity Augmentation and Aging Synthesis. - Yee-Fan Tan; Junn Yong Loo; Chee-Ming Ting; Fuad Noman; Raphaël C.-W. Phan; Hernando Ombao (ICASSP, 2024)

Deep Multi-Graph Embedded Clustering for Community Detection in FMRI Functional Brain Networks Across Individuals. - Kai-Jun See; Chee-Ming Ting; Fuad Noman; Junn Yong Loo; Yee-Fan Tan; Hernando Ombao; Raphaël C.-W. Phan (ICIP, 2024)

A Preconditioning Approach To Optimizing Sensing Matrix For Improved Compressed Sensing CT Reconstruction. - Prasad Theeda; Chee-Ming Ting; Arghya Pal; Hernando Ombao (ICIP, 2024)

Dynamic MRI Reconstruction Using Low-Rank Plus Sparse Decomposition With Smoothness Regularization. - Chee-Ming Ting; Fuad Noman; Raphaël C.-W. Phan; Hernando Ombao (ICIP, 2024)

fMRI Functional Connectivity Augmentation Using Convolutional Generative Adversarial Networks for Brain Disorder Classification. - Yee-Fan Tan; Chee-Ming Ting; Fuad Noman; Raphaël C.-W. Phan; Hernando Ombao (ISBI, 2024)

Topological Analysis of Seizure-Induced Changes in Brain Hierarchy Through Effective Connectivity. - Anass B. El-Yaagoubi; Moo K. Chung; Hernando Ombao (TGI3@MICCAI, 2024)

Classification of High-dimensional Time Series in Spectral Domain using Explainable Features. - Sarbojit Roy; Malik Shahid Sultan; Hernando Ombao (CoRR, 2024)

Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals. - Anass B. El-Yaagoubi; Moo K. Chung; Hernando Ombao (Frontiers Neuroinformatics, 2024)

An improved unbiased particle filter. - Ajay Jasra; Mohamed Maama; Hernando Ombao (Monte Carlo Methods Appl., 2024)

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. - Fuad Noman; Chee-Ming Ting; Hakmook Kang; Raphaël C.-W. Phan; Hernando C. Ombao (IEEE J. Biomed. Health Informatics, 2024)

Assessment of Fractal Synchronization during an Epileptic Seizure. - Oleg N. Gorshkov; Hernando Ombao (Entropy, 2024)

The Brain Imaging Data Structure (BIDS) Specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2024)

Electrode Surface Area Impacts Measurement of High Frequency Oscillations in Human Intracranial EEG. - Kavyakantha Remakanthakurup Sindhu; Marco A. Pinto-Orellana; Hernando C. Ombao; Aliza Riba; Donald Phillips; Joffre Olaya; Daniel W. Shrey; Beth A. Lopour (IEEE Trans. Biomed. Eng., 2024)

Classification of High-dimensional Time Series in Spectral Domain Using Explainable Features with Applications to Neuroimaging Data. - Sarbojit Roy; Malik Shahid Sultan; Tania Reyes Vallejo; Leena Ali Ibrahim; Hernando Ombao (AISTATS, 2025)

Connectome-GTC: A Unified Framework for Brain Functional and Structural Connectomes Generation, Translation, and Classification. - Yee-Fan Tan; Pei-Sze Tan; Fuad Noman; Raphael C.-W. Phan; Hernando Ombao; Chee-Ming Ting (ISBI, 2025)

SFC-GAN: A Generative Adversarial Network for Brain Functional and Structural Connectome Translation. - Yee-Fan Tan; Jun Lin Liow; Pei-Sze Tan; Fuad Noman; Raphael C.-W. Phan; Hernando Ombao; Chee-Ming Ting (CoRR, 2025)

On the ability of Deep Neural Networks to Learn Granger Causality in Multi-Variate Time Series Data. - Malik Shahid Sultan; Hernando Ombao (CoRR, 2025)