Rong Chen

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 21

Top Topics

Linear Discriminant

Medical Image Analysis

Top Venues

Neuroinformatics

Frontiers Comput. Neurosci.

Publications

Jing Xie, Rong Chen, Shuvra S. Bhattacharyya
A parameter-optimization framework for neural decoding systems. Frontiers Neuroinformatics 17 (2023)
Rong Chen
Correction to: Bayesian Coherence Analysis for Microcircuit Structure Learning. Neuroinformatics 21 (1) (2023)
Rong Chen
Bayesian Coherence Analysis for Microcircuit Structure Learning. Neuroinformatics 21 (1) (2023)
Rong Chen, Edward H. Herskovits
Machine Learning Detects Distinct Subtypes of Minimal Cognitive Impairment. J. Signal Process. Syst. 94 (5) (2022)
Xiaomin Wu, Da-Ting Lin, Rong Chen, Shuvra S. Bhattacharyya
Learning Compact DNN Models for Behavior Prediction from Neural Activity of Calcium Imaging. J. Signal Process. Syst. 94 (5) (2022)
Kyunghun Lee, Xiaomin Wu, Yaesop Lee, Da-Ting Lin, Shuvra S. Bhattacharyya, Rong Chen
Neural decoding on imbalanced calcium imaging data with a network of support vector machines. Adv. Robotics 35 (7) (2021)
Qing Shi, Tatsuo Arai, Rong Chen
Special issue on cyborg and bionic systems III. Adv. Robotics 35 (7) (2021)
Rong Chen
Causal Network Inference for Neural Ensemble Activity. Neuroinformatics 19 (3) (2021)
Xiaomin Wu, Shuvra S. Bhattacharyya, Rong Chen
WGEVIA: A Graph Level Embedding Method for Microcircuit Data. Frontiers Comput. Neurosci. 14 (2020)
Rong Chen, Yu Jin, Lizhen Xu
A Classroom Student Counting System Based on Improved Context-Based Face Detector. WISA (2020)
Yongkang Liu, Wenzhong Wu, Xiao Chen, Minghua Wu, Gang Hu, Guoxing Zhou, Zhongqiu Wang, Rong Chen
Aberrant Correlation Between the Default Mode and Salience Networks in Mild Traumatic Brain Injury. Frontiers Comput. Neurosci. 14 (2020)
Yaesop Lee, Jing Xie, Eung-Joo Lee, Srijesh Sudarsanan, Da-Ting Lin, Rong Chen, Shuvra S. Bhattacharyya
Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging. Frontiers Comput. Neurosci. 14 (2020)
Kyunghun Lee, Yaesop Lee, Da-Ting Lin, Shuvra S. Bhattacharyya, Rong Chen
Real-Time Calcium Imaging Based Neural Decoding with a Support Vector Machine. BioCAS (2019)
Rong Chen, Da-Ting Lin
Decoding Brain States Based on Microcircuits. CBS (2018)
Yu Jin, Joseph F. JáJá, Rong Chen, Edward H. Herskovits
A Data-Driven Approach to Extract Connectivity Structures from Diffusion Tensor Imaging Data. CoRR (2018)
Rong Chen, Yuanjie Zheng, Erika Nixon, Edward H. Herskovits
Dynamic network model with continuous valued nodes for longitudinal brain morphometry. NeuroImage 155 (2017)
Yaesop Lee, Sreenuj Chellath Madayambath, Yanzhou Liu, Da-Ting Lin, Rong Chen, Shuvra S. Bhattacharyya
Online learning in neural decoding using incremental linear discriminant analysis. CBS (2017)
Rong Chen, Huaping Wang, Jiping He, Da-Ting Lin
Dynamic micro-circuit analysis for calcium imaging data. CBS (2017)
Yu Jin, Joseph F. JáJá, Rong Chen, Edward H. Herskovits
Scalable Algorithms for Generating and Analyzing Structural Brain Networks with a Varying Number of Nodes. CoRR (2016)
Rong Chen, Erika Nixon, Edward Herskovits
Advanced Connectivity Analysis (ACA): a Large Scale Functional Connectivity Data Mining Environment. Neuroinformatics 14 (2) (2016)
Qi Wang, Rong Chen, Joseph F. JáJá, Yu Jin, L. Elliot Hong, Edward H. Herskovits
Connectivity-Based Brain Parcellation - A Connectivity-Based Atlas for Schizophrenia Research. Neuroinformatics 14 (1) (2016)
Rong Chen, Edward Herskovits
Examining the multifactorial nature of a cognitive process using Bayesian brain-behavior modeling. Comput. Medical Imaging Graph. 41 (2015)
Jeon Lee, Seung-Jun Kim, Rong Chen, Edward H. Herskovits
Brain tumor image segmentation using kernel dictionary learning. EMBC (2015)
Yu Jin, Joseph F. JáJá, Rong Chen, Edward H. Herskovits
A data-driven approach to extract connectivity structures from diffusion tensor imaging data. IEEE BigData (2015)
Edward Herskovits, L. Elliot Hong, Peter V. Kochunov, Hemalatha Sampath, Rong Chen
Edge-Centered DTI Connectivity Analysis: Application to Schizophrenia. Neuroinformatics 13 (4) (2015)
Rong Chen, Zhongqiu Wang, Yuanjie Zheng
Advanced Medical Image Analysis. Comput. Math. Methods Medicine 2014 (2014)
Yongkang Liu, Tianyao Wang, Xiao Chen, Jianhua Zhang, Guoxing Zhou, Zhongqiu Wang, Rong Chen
Tract-Based Bayesian Multivariate Analysis of Mild Traumatic Brain Injury. Comput. Math. Methods Medicine 2014 (2014)
Rong Chen, Susan M. Resnick, Christos Davatzikos, Edward Herskovits
Dynamic Bayesian network modeling for longitudinal brain morphometry. NeuroImage 59 (3) (2012)
Rong Chen, Edward Herskovits
Graphical Model Based Multivariate Analysis (GAMMA): An Open-Source, Cross-Platform Neuroimaging Data Analysis Software Package. Neuroinformatics 10 (2) (2012)
Rong Chen, Edward Herskovits
Voxel-based Bayesian lesion-symptom mapping. NeuroImage 49 (1) (2010)
Yun Jiao, Rong Chen, Xiaoyan Ke, Kangkang Chu, Zuhong Lu, Edward Herskovits
Predictive models of autism spectrum disorder based on brain regional cortical thickness. NeuroImage 50 (2) (2010)
Rong Chen, Edward Herskovits
Machine-learning techniques for building a diagnostic model for very mild dementia. NeuroImage 52 (1) (2010)
Rong Chen, Edward Herskovits
Bayesian Classifier Combination for Microarray Classification. BIOCOMP (2009)
Jaime S. Ide, Rong Chen, Dinggang Shen, Edward Herskovits
Robust Brain Registration Using Adaptive Probabilistic Atlas. MICCAI (2) (2008)
Rong Chen, Argye E. Hillis, Mikolaj A. Pawlak, Edward Herskovits
Voxelwise Bayesian lesion-deficit analysis. NeuroImage 40 (4) (2008)
Rong Chen, Edward Herskovits
Clinical Diagnosis Based on Bayesian Classification of Functional Magnetic-Resonance Data. Neuroinformatics 5 (3) (2007)
Rong Chen, Edward H. Herskovits
Graphical-model-based multivariate analysis of functional magnetic-resonance data. NeuroImage 35 (2) (2007)
Rong Chen, Edward H. Herskovits
Network analysis of mild cognitive impairment. NeuroImage 29 (4) (2006)
Rong Chen, Edward Herskovits
A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis. KDD (2005)
Rong Chen, Edward Herskovits
Graphical-model-based morphometric analysis. IEEE Trans. Medical Imaging 24 (10) (2005)