Rong Chen - RankMe

44 papers A* 1Misc 1Journal 33Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ShaderNN: A lightweight and efficient inference engine for real-time applications on mobile GPUs. Neurocomputing Jing Xie, Yuzhong Yan, Abhishek Saxena, Qiang Qiu, Jiangong Chen, Hongyu Sun, Rong Chen, Shuvra S. Bhattacharyya
2023	J	`jnl`	A parameter-optimization framework for neural decoding systems. Frontiers Neuroinformatics Jing Xie, Rong Chen, Shuvra S. Bhattacharyya
2023	J	`jnl`	Bayesian Coherence Analysis for Microcircuit Structure Learning. Neuroinformatics Rong Chen
2023	J	`jnl`	Correction to: Bayesian Coherence Analysis for Microcircuit Structure Learning. Neuroinformatics Rong Chen
2023	—	`conf`	Sample Reweighting for Label Denoising of Neural Activity Data. NER Dongfang Xu, Rong Chen
2022	J	`jnl`	Editor's Note: Biomedical Signal and Image Processing Systems. J. Signal Process. Syst. Rong Chen
2022	J	`jnl`	Learning Compact DNN Models for Behavior Prediction from Neural Activity of Calcium Imaging. J. Signal Process. Syst. Xiaomin Wu, Da-Ting Lin, Rong Chen, Shuvra S. Bhattacharyya
2022	J	`jnl`	Machine Learning Detects Distinct Subtypes of Minimal Cognitive Impairment. J. Signal Process. Syst. Rong Chen, Edward H. Herskovits
2022	J	`jnl`	Meta-Learning for Decoding Neural Activity Data With Noisy Labels. Frontiers Comput. Neurosci. Dongfang Xu, Rong Chen
2021	J	`jnl`	Causal Network Inference for Neural Ensemble Activity. Neuroinformatics Rong Chen
2021	J	`jnl`	Neural decoding on imbalanced calcium imaging data with a network of support vector machines. Adv. Robotics Kyunghun Lee, Xiaomin Wu, Yaesop Lee, Da-Ting Lin, Shuvra S. Bhattacharyya, Rong Chen
2021	J	`jnl`	Special issue on cyborg and bionic systems III. Adv. Robotics Qing Shi, Tatsuo Arai, Rong Chen
2020	Misc	`conf`	A Classroom Student Counting System Based on Improved Context-Based Face Detector. WISA Rong Chen, Yu Jin, Lizhen Xu
2020	J	`jnl`	Aberrant Correlation Between the Default Mode and Salience Networks in Mild Traumatic Brain Injury. Frontiers Comput. Neurosci. Yongkang Liu, Wenzhong Wu, Xiao Chen, Minghua Wu, Gang Hu, Guoxing Zhou, Zhongqiu Wang, Rong Chen
2020	J	`jnl`	Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging. Frontiers Comput. Neurosci. Yaesop Lee, Jing Xie, Eungjoo Lee, Srijesh Sudarsanan, Da-Ting Lin, Rong Chen, Shuvra S. Bhattacharyya
2020	J	`jnl`	WGEVIA: A Graph Level Embedding Method for Microcircuit Data. Frontiers Comput. Neurosci. Xiaomin Wu, Shuvra S. Bhattacharyya, Rong Chen
2019	—	`conf`	Real-Time Calcium Imaging Based Neural Decoding with a Support Vector Machine. BioCAS Kyunghun Lee, Yaesop Lee, Da-Ting Lin, Shuvra S. Bhattacharyya, Rong Chen
2018	J	`jnl`	A Data-Driven Approach to Extract Connectivity Structures from Diffusion Tensor Imaging Data. CoRR Yu Jin, Joseph F. JáJá, Rong Chen, Edward H. Herskovits
2018	—	`conf`	Decoding Brain States Based on Microcircuits. CBS Rong Chen, Da-Ting Lin
2017	—	`conf`	Dynamic micro-circuit analysis for calcium imaging data. CBS Rong Chen, Huaping Wang, Jiping He, Da-Ting Lin
2017	J	`jnl`	Dynamic network model with continuous valued nodes for longitudinal brain morphometry. NeuroImage Rong Chen, Yuanjie Zheng, Erika Nixon, Edward H. Herskovits
2017	—	`conf`	Online learning in neural decoding using incremental linear discriminant analysis. CBS Yaesop Lee, Sreenuj Chellath Madayambath, Yanzhou Liu, Da-Ting Lin, Rong Chen, Shuvra S. Bhattacharyya
2016	J	`jnl`	Advanced Connectivity Analysis (ACA): a Large Scale Functional Connectivity Data Mining Environment. Neuroinformatics Rong Chen, Erika Nixon, Edward Herskovits
2016	J	`jnl`	Connectivity-Based Brain Parcellation - A Connectivity-Based Atlas for Schizophrenia Research. Neuroinformatics Qi Wang, Rong Chen, Joseph F. JáJá, Yu Jin, L. Elliot Hong, Edward H. Herskovits
2016	J	`jnl`	Scalable Algorithms for Generating and Analyzing Structural Brain Networks with a Varying Number of Nodes. CoRR Yu Jin, Joseph F. JáJá, Rong Chen, Edward H. Herskovits
2015	—	`conf`	A data-driven approach to extract connectivity structures from diffusion tensor imaging data. IEEE BigData Yu Jin, Joseph F. JáJá, Rong Chen, Edward H. Herskovits
2015	—	`conf`	Brain tumor image segmentation using kernel dictionary learning. EMBC Jeon Lee, Seung-Jun Kim, Rong Chen, Edward H. Herskovits
2015	J	`jnl`	Edge-Centered DTI Connectivity Analysis: Application to Schizophrenia. Neuroinformatics Edward Herskovits, L. Elliot Hong, Peter V. Kochunov, Hemalatha Sampath, Rong Chen
2015	J	`jnl`	Examining the multifactorial nature of a cognitive process using Bayesian brain-behavior modeling. Comput. Medical Imaging Graph. Rong Chen, Edward Herskovits
2014	J	`jnl`	Advanced Medical Image Analysis. Comput. Math. Methods Medicine Rong Chen, Zhongqiu Wang, Yuanjie Zheng
2014	J	`jnl`	Tract-Based Bayesian Multivariate Analysis of Mild Traumatic Brain Injury. Comput. Math. Methods Medicine Yongkang Liu, Tianyao Wang, Xiao Chen, Jianhua Zhang, Guoxing Zhou, Zhongqiu Wang, Rong Chen
2012	J	`jnl`	Dynamic Bayesian network modeling for longitudinal brain morphometry. NeuroImage Rong Chen, Susan M. Resnick, Christos Davatzikos, Edward Herskovits
2012	J	`jnl`	Graphical Model Based Multivariate Analysis (GAMMA): An Open-Source, Cross-Platform Neuroimaging Data Analysis Software Package. Neuroinformatics Rong Chen, Edward Herskovits
2010	J	`jnl`	Machine-learning techniques for building a diagnostic model for very mild dementia. NeuroImage Rong Chen, Edward Herskovits
2010	J	`jnl`	Predictive models of autism spectrum disorder based on brain regional cortical thickness. NeuroImage Yun Jiao, Rong Chen, Xiaoyan Ke, Kangkang Chu, Zuhong Lu, Edward Herskovits
2010	J	`jnl`	Voxel-based Bayesian lesion-symptom mapping. NeuroImage Rong Chen, Edward Herskovits
2009	—	`conf`	Bayesian Classifier Combination for Microarray Classification. BIOCOMP Rong Chen, Edward Herskovits
2008	—	`conf`	Robust Brain Registration Using Adaptive Probabilistic Atlas. MICCAI (2) Jaime S. Ide, Rong Chen, Dinggang Shen, Edward Herskovits
2008	J	`jnl`	Voxelwise Bayesian lesion-deficit analysis. NeuroImage Rong Chen, Argye E. Hillis, Mikolaj A. Pawlak, Edward Herskovits
2007	J	`jnl`	Clinical Diagnosis Based on Bayesian Classification of Functional Magnetic-Resonance Data. Neuroinformatics Rong Chen, Edward Herskovits
2007	J	`jnl`	Graphical-model-based multivariate analysis of functional magnetic-resonance data. NeuroImage Rong Chen, Edward H. Herskovits
2006	J	`jnl`	Network analysis of mild cognitive impairment. NeuroImage Rong Chen, Edward H. Herskovits
2005	A*	`conf`	A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis. KDD Rong Chen, Edward Herskovits
2005	J	`jnl`	Graphical-model-based morphometric analysis. IEEE Trans. Medical Imaging Rong Chen, Edward Herskovits