Rong Chen

Orcid: 0000-0003-1298-9381

Affiliations:
  • University of Maryland School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, Baltimore, MD, USA
  • University of Pennsylvania, Department of Radiology, Philadelphia, PA, USA (former)


According to our database1, Rong Chen authored at least 42 papers between 2005 and 2023.

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Bibliography

2023
A parameter-optimization framework for neural decoding systems.
Frontiers Neuroinformatics, March, 2023

Correction to: Bayesian Coherence Analysis for Microcircuit Structure Learning.
Neuroinformatics, January, 2023

Bayesian Coherence Analysis for Microcircuit Structure Learning.
Neuroinformatics, January, 2023

Sample Reweighting for Label Denoising of Neural Activity Data.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2022
Learning Compact DNN Models for Behavior Prediction from Neural Activity of Calcium Imaging.
J. Signal Process. Syst., 2022

Machine Learning Detects Distinct Subtypes of Minimal Cognitive Impairment.
J. Signal Process. Syst., 2022

Editor's Note: Biomedical Signal and Image Processing Systems.
J. Signal Process. Syst., 2022

Meta-Learning for Decoding Neural Activity Data With Noisy Labels.
Frontiers Comput. Neurosci., 2022

2021
Causal Network Inference for Neural Ensemble Activity.
Neuroinformatics, 2021

Special issue on cyborg and bionic systems III.
Adv. Robotics, 2021

Neural decoding on imbalanced calcium imaging data with a network of support vector machines.
Adv. Robotics, 2021

2020
WGEVIA: A Graph Level Embedding Method for Microcircuit Data.
Frontiers Comput. Neurosci., 2020

Aberrant Correlation Between the Default Mode and Salience Networks in Mild Traumatic Brain Injury.
Frontiers Comput. Neurosci., 2020

Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging.
Frontiers Comput. Neurosci., 2020

A Classroom Student Counting System Based on Improved Context-Based Face Detector.
Proceedings of the Web Information Systems and Applications, 2020

2019
Real-Time Calcium Imaging Based Neural Decoding with a Support Vector Machine.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2018
Decoding Brain States Based on Microcircuits.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018

2017
Dynamic network model with continuous valued nodes for longitudinal brain morphometry.
NeuroImage, 2017

Online learning in neural decoding using incremental linear discriminant analysis.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2017

Dynamic micro-circuit analysis for calcium imaging data.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2017

2016
Connectivity-Based Brain Parcellation - A Connectivity-Based Atlas for Schizophrenia Research.
Neuroinformatics, 2016

Advanced Connectivity Analysis (ACA): a Large Scale Functional Connectivity Data Mining Environment.
Neuroinformatics, 2016

Scalable Algorithms for Generating and Analyzing Structural Brain Networks with a Varying Number of Nodes.
CoRR, 2016

2015
Edge-Centered DTI Connectivity Analysis: Application to Schizophrenia.
Neuroinformatics, 2015

Examining the multifactorial nature of a cognitive process using Bayesian brain-behavior modeling.
Comput. Medical Imaging Graph., 2015

Brain tumor image segmentation using kernel dictionary learning.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

A data-driven approach to extract connectivity structures from diffusion tensor imaging data.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Tract-Based Bayesian Multivariate Analysis of Mild Traumatic Brain Injury.
Comput. Math. Methods Medicine, 2014

Advanced Medical Image Analysis.
Comput. Math. Methods Medicine, 2014

2012
Graphical Model Based Multivariate Analysis (GAMMA): An Open-Source, Cross-Platform Neuroimaging Data Analysis Software Package.
Neuroinformatics, 2012

Dynamic Bayesian network modeling for longitudinal brain morphometry.
NeuroImage, 2012

2010
Predictive models of autism spectrum disorder based on brain regional cortical thickness.
NeuroImage, 2010

Voxel-based Bayesian lesion-symptom mapping.
NeuroImage, 2010

Machine-learning techniques for building a diagnostic model for very mild dementia.
NeuroImage, 2010

2009
Bayesian Classifier Combination for Microarray Classification.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009

2008
Voxelwise Bayesian lesion-deficit analysis.
NeuroImage, 2008

Robust Brain Registration Using Adaptive Probabilistic Atlas.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007
Clinical Diagnosis Based on Bayesian Classification of Functional Magnetic-Resonance Data.
Neuroinformatics, 2007

Graphical-model-based multivariate analysis of functional magnetic-resonance data.
NeuroImage, 2007

2006
Network analysis of mild cognitive impairment.
NeuroImage, 2006

2005
Graphical-model-based morphometric analysis.
IEEE Trans. Medical Imaging, 2005

A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005


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