Bernard Ng

Orcid: 0000-0002-8688-3873

According to our database1, Bernard Ng authored at least 37 papers between 2006 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2020
Deconvolving the contributions of cell-type heterogeneity on cortical gene expression.
PLoS Comput. Biol., 2020

2018
Multimodal Brain Parcellation Based on Functional and Anatomical Connectivity.
Brain Connect., 2018

2017
Multimodal Brain Subnetwork Extraction Using Provincial Hub Guided Random Walks.
Proceedings of the Information Processing in Medical Imaging, 2017

2016
Stable Overlapping Replicator Dynamics for Brain Community Detection.
IEEE Trans. Medical Imaging, 2016

Transport on Riemannian Manifold for Connectivity-Based Brain Decoding.
IEEE Trans. Medical Imaging, 2016

Modularity Reinforcement for Improving Brain Subnetwork Extraction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Optimization of rs-fMRI Pre-processing for Enhanced Signal-Noise Separation, Test-Retest Reliability, and Group Discrimination.
NeuroImage, 2015

Joint Feature Extraction from Functional Connectivity Graphs with Multi-task Feature Learning.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

Node-Based Gaussian Graphical Model for Identifying Discriminative Brain Regions from Connectivity Graphs.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Coupled Stable Overlapping Replicator Dynamics for Multimodal Brain Subnetwork Identification.
Proceedings of the Information Processing in Medical Imaging, 2015

Bootstrapped Permutation Test for Multiresponse Inference on Brain Behavior Associations.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
Transport on Riemannian Manifold for Functional Connectivity-Based Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Effects of tractography approach on consistency between anatomical and functional connectivity estimates.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Overlapping Replicator Dynamics for Functional Subnetwork Identification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Fiber Connectivity Integrated Brain Activation Detection.
Proceedings of the Information Processing in Medical Imaging, 2013

A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation.
Proceedings of the Information Processing in Medical Imaging, 2013

Recent advances in supervised learning for brain graph classification.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
Group Replicator Dynamics: A Novel Group-Wise Evolutionary Approach for Sparse Brain Network Detection.
IEEE Trans. Medical Imaging, 2012

Modeling Brain Activation in fMRI Using Group MRF.
IEEE Trans. Medical Imaging, 2012

Connectivity-informed Sparse Classifiers for fMRI Brain Decoding.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Deconfounding the Effects of Resting State Activity on Task Activation Detection in fMRI.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

A Novel Sparse Graphical Approach for Multimodal Brain Connectivity Inference.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011
Modeling Spatiotemporal Structure in fMRI Brain Decoding Using Generalized Sparse Classifiers.
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011

Connectivity-Informed fMRI Activation Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Generalized Sparse Regularization with Application to fMRI Brain Decoding.
Proceedings of the Information Processing in Medical Imaging, 2011

Generalized group sparse classifiers with application in fMRI brain decoding.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Generalized Sparse Classifiers for Decoding Cognitive States in fMRI.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Detecting Brain Activation in fMRI Using Group Random Walker.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Group MRF for fMRI activation detection.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Spatial Characterization of fMRI Activation Maps Using Invariant 3-D Moment Descriptors.
IEEE Trans. Medical Imaging, 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

Discovering Sparse Functional Brain Networks Using Group Replicator Dynamics (GRD).
Proceedings of the Information Processing in Medical Imaging, 2009

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

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

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


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