Martin J. McKeown
Orcid: 0000-0002-4048-0817
According to our database1,
Martin J. McKeown
authored at least 114 papers
between 1997 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Artif. Intell., April, 2024
Neurocomputing, February, 2024
2023
Clinically Informed Automated Assessment of Finger Tapping Videos in Parkinson's Disease.
Sensors, November, 2023
Medical Image Anal., October, 2023
IEEE Trans. Biomed. Eng., May, 2023
Sensors, February, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey.
IEEE Signal Process. Mag., 2022
Atlas-guided parcellation: Individualized functionally-homogenous parcellation in cerebral cortex.
Comput. Biol. Medicine, 2022
Sleep staging using semi-unsupervised clustering of EEG: Application to REM sleep behavior disorder.
Biomed. Signal Process. Control., 2022
Deep Transfer Learning for Parkinson's Disease Monitoring by Image-Based Representation of Resting-State EEG Using Directional Connectivity.
Algorithms, 2022
2021
Striatal Subdivisions Estimated via Deep Embedded Clustering With Application to Parkinson's Disease.
IEEE J. Biomed. Health Informatics, 2021
Galvanic Vestibular Stimulation: Data Analysis and Applications in Neurorehabilitation.
IEEE Signal Process. Mag., 2021
A Deep Learning Strategy for Automatic Sleep Staging Based on Two-Channel EEG Headband Data.
Sensors, 2021
Neural Networks, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
Novel Regional Activity Representation With Constrained Canonical Correlation Analysis for Brain Connectivity Network Estimation.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Instrum. Meas., 2020
Parkinson's Disease Detection from fMRI-Derived Brainstem Regional Functional Connectivity Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
A Gamified Assessment Platform for Predicting the Risk of Dementia +Parkinson's disease (DPD) Co-Morbidity.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Epileptic Seizure Prediction: A Semi-Dilated Convolutional Neural Network Architecture.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Dynamic Graph Theoretical Analysis of Functional Connectivity in Parkinson's Disease: The Importance of Fiedler Value.
IEEE J. Biomed. Health Informatics, 2019
Removal of High-Voltage Brain Stimulation Artifacts From Simultaneous EEG Recordings.
IEEE Trans. Biomed. Eng., 2019
Mach. Vis. Appl., 2019
Biomed. Signal Process. Control., 2019
Functional Data and Long Short-Term Memory Networks for Diagnosis of Parkinson's Disease.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
A Deep Convolutional-Recurrent Neural Network Architecture for Parkinson's Disease EEG Classification.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
A Multivariate Approach for Denoising of T2 Relaxation Decay Curves in Myelin Water Fraction Imaging.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
2018
The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts From Few-Channel EEG Recordings.
IEEE Trans. Instrum. Meas., 2018
Movement Based Classification of People with Stroke Through Automated Analysis of Three-Dimensional Motion Data.
Proceedings of the Intelligent Autonomous Systems 15, 2018
Proceedings of the Human Aspects of IT for the Aged Population. Applications in Health, Assistance, and Entertainment, 2018
2017
Simultaneous ocular and muscle artifact removal from EEG data by exploiting diverse statistics.
Comput. Biol. Medicine, 2017
3D CNN Based Automatic Diagnosis of Attention Deficit Hyperactivity Disorder Using Functional and Structural MRI.
IEEE Access, 2017
Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
Galvanic Vestibular Stimulation (GVS) effects on impaired interhemispheric connectivity in Parkinson's Disease.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Joint Blind Source Separation for Neurophysiological Data Analysis: Multiset and multimodal methods.
IEEE Signal Process. Mag., 2016
IEEE J. Sel. Top. Signal Process., 2016
Connectivity-based parcellation of functional SubROIs in putamen using a sparse spatially regularized regression model.
Biomed. Signal Process. Control., 2016
A Multimodal data fusion approach efficiently predicts disease duration in multiple sclerosis.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016
2015
A Sticky Weighted Regression Model for Time-Varying Resting-State Brain Connectivity Estimation.
IEEE Trans. Biomed. Eng., 2015
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Feasibility analysis and adaptive thresholding for mobile applications controlled by EEG signals.
Proceedings of the 23rd European Signal Processing Conference, 2015
Detection of manual tracking submovements in Parkinson's disease through hybrid optimization.
Proceedings of the 5th IFAC Conference on Analysis and Design of Hybrid Systems, 2015
2014
A Three-Step Multimodal Analysis Framework for Modeling Corticomuscular Activity With Application to Parkinson's Disease.
IEEE J. Biomed. Health Informatics, 2014
A Genetically Informed, Group fMRI Connectivity Modeling Approach: Application to Schizophrenia.
IEEE Trans. Biomed. Eng., 2014
An EEMD-IVA Framework for Concurrent Multidimensional EEG and Unidimensional Kinematic Data Analysis.
IEEE Trans. Biomed. Eng., 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 16th IEEE International Conference on e-Health Networking, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014
2013
Guest Editorial for Special Section on Multimodal Biomedical Imaging: Algorithms and Applications.
IEEE Trans. Multim., 2013
IEEE Trans. Biomed. Eng., 2013
Novel spatial analysis method for PET images using 3D moment invariants: Applications to Parkinson's disease.
NeuroImage, 2013
2012
A Generalized Multivariate Autoregressive (GmAR)-Based Approach for EEG Source Connectivity Analysis.
IEEE Trans. Signal Process., 2012
IEEE Trans. Signal Process., 2012
Group Replicator Dynamics: A Novel Group-Wise Evolutionary Approach for Sparse Brain Network Detection.
IEEE Trans. Medical Imaging, 2012
A multiblock PLS model of cortico-cortical and corticomuscular interactions in Parkinson's disease.
NeuroImage, 2012
A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, <i>A Priori</i> Knowledge, and Group Inference.
Comput. Math. Methods Medicine, 2012
A tridirectional method for corticomuscular coupling analysis in Parkinson's disease.
Proceedings of the 14th IEEE International Workshop on Multimedia Signal Processing, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Altered directional connectivity in Parkinson's disease during performance of a visually guided task.
NeuroImage, 2011
Proceedings of the Medical Imaging 2011: Visualization, 2011
2010
IEEE Trans. Inf. Theory, 2010
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Mode Detection in switched pursuit tracking tasks: Hybrid estimation to measure performance in Parkinson's disease.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
2009
Spatial Characterization of fMRI Activation Maps Using Invariant 3-D Moment Descriptors.
IEEE Trans. Medical Imaging, 2009
Freesurfer-initialized large deformation diffeomorphic metric mapping with application to Parkinson's disease.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA).
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Detecting Maximal Directional Changes in Spatial fMRI Response Using Canonical Correlation Analysis.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Proceedings of the Information Processing in Medical Imaging, 2009
Sparse multivariate autoregressive (mAR)-based partial directed coherence (PDC) for electroencephalogram (EEG) analysis.
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
A Hidden Markov, Multivariate Autoregressive (HMM-mAR) Network Framework for Analysis of Surface EMG (sEMG) Data.
IEEE Trans. Signal Process., 2008
Bayesian Network Modeling for Discovering "Dependent Synergies" Among Muscles in Reaching Movements.
IEEE Trans. Biomed. Eng., 2008
A Windowed Eigenspectrum Method for Multivariate sEMG Classification During Reaching Movements.
IEEE Signal Process. Lett., 2008
NeuroImage, 2008
SPHARM-Based Spatial fMRI Characterization With Intersubject Anatomical Variability Reduction.
IEEE J. Sel. Top. Signal Process., 2008
IEEE J. Sel. Top. Signal Process., 2008
IEEE J. Sel. Top. Signal Process., 2008
Invariant 3D spharm features for characterizing fMRI activations in ROIs while minimizing effects of intersubject anatomical variability.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Inferring functional connectivity using spatial modulation measures of fMRI signals within brain regions of interest.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
Underdetermined Anechoic Blind Source Separation via ell<sup>q</sup>-Basis-Pursuit With q<<1.
IEEE Trans. Signal Process., 2007
Local Linear Discriminant Analysis (LLDA) for group and region of interest (ROI)-based fMRI analysis.
NeuroImage, 2007
Characterizing Task-Related Temporal Dynamics of Spatial Activation Distributions in fMRI BOLD Signals.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity.
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
Shape vs. volume: invariant shape descriptors for 3D region of interest characterization in MRI.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Dynamic Bayesian networks (DBNS) demonstrate impaired brain connectivity during performance of simultaneous movements in Parkinson's disease.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Bayesian Network Modeling For Discovering "Directed Synergies" Among Muscles in Reaching Movements.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
A Time-Varying Eigenspectrum/SVM Method for Semg Classification of Reaching Movements in Healthy and Stroke Subjects.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Characterizing fMRI Activations within Regions of Interest (ROIs) Using 3D Moment Invariants.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
2005
An information-theoretic criterion for intrasubject alignment of FMRI time series: motion corrected independent component analysis.
IEEE Trans. Medical Imaging, 2005
Improved Motion Correction of fMRI Time-Series Corrupted with Major Head Movement Using Extended Motion-Corrected Independent Component Analysis.
Proceedings of the Computer Vision for Biomedical Image Applications, 2005
2004
Isolation and Minimization of Effects of Motion on fMRI Using Multiple Reference Images.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Motion-corrected independent component analysis for robust functional magnetic resonance imaging.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2002
Movement correction of fMRI time-series using intrinsic statistical properties of images: an independent component analysis approach.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
2001
1997
Proceedings of the Advances in Neural Information Processing Systems 10, 1997