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ORCIDRong Chen 0005
Person information
- affiliation: University of Maryland School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, Baltimore, MD, USA
- affiliation (former): University of Pennsylvania, Department of Radiology, Philadelphia, PA, USA
Other persons with the same name
- Rong Chen — disambiguation page
- Rong Chen 0001
![[0000-0002-6115-8130]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6115-8130")
— Shanghai Jiao Tong University, Institute of Parallel and Distributed Systems, China (and 1 more) - Rong Chen 0002 — Fuzhou University, Center for Discrete Mathematics, China (and 1 more)
- Rong Chen 0003 — Dalian Maritime University, Department of Information Science and Technology, China
- Rong Chen 0004 — Southwest Jiaotong University, MOE Key Laboratory of High-Speed Railway Engineering, Chengdu, China
- Rong Chen 0006 — Stanford University School of Medicine, Stanford, USA (and 1 more)
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2020 – today
- 2025
[j31]Jing Xie, Yuzhong Yan, Abhishek Saxena, Qiang Qiu, Jiangong Chen, Hongyu Sun, Rong Chen, Shuvra S. Bhattacharyya:
ShaderNN: A lightweight and efficient inference engine for real-time applications on mobile GPUs. Neurocomputing 611: 128628 (2025)- 2023
- [j30]Jing Xie, Rong Chen, Shuvra S. Bhattacharyya:
A parameter-optimization framework for neural decoding systems. Frontiers Neuroinformatics 17 (2023) - [j29]Rong Chen:
Bayesian Coherence Analysis for Microcircuit Structure Learning. Neuroinformatics 21(1): 195-204 (2023) - [j28]Rong Chen:
Correction to: Bayesian Coherence Analysis for Microcircuit Structure Learning. Neuroinformatics 21(1): 205 (2023) - [c11]Dongfang Xu, Rong Chen:
Sample Reweighting for Label Denoising of Neural Activity Data. NER 2023: 1-4 - 2022
- [j27]Dongfang Xu, Rong Chen:
Meta-Learning for Decoding Neural Activity Data With Noisy Labels. Frontiers Comput. Neurosci. 16 (2022) - [j26]Rong Chen:
Editor's Note: Biomedical Signal and Image Processing Systems. J. Signal Process. Syst. 94(5): 435 (2022) - [j25]Rong Chen, Edward H. Herskovits:
Machine Learning Detects Distinct Subtypes of Minimal Cognitive Impairment. J. Signal Process. Syst. 94(5): 437-443 (2022) - [j24]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): 455-472 (2022) - 2021
- [j23]Qing Shi, Tatsuo Arai, Rong Chen:
Special issue on cyborg and bionic systems III. Adv. Robotics 35(7): 399 (2021) - [j22]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): 459-470 (2021) - [j21]Rong Chen:
Causal Network Inference for Neural Ensemble Activity. Neuroinformatics 19(3): 515-527 (2021) - 2020
- [j20]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: 43 (2020) - [j19]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: 68 (2020) - [j18]Xiaomin Wu, Shuvra S. Bhattacharyya, Rong Chen:
WGEVIA: A Graph Level Embedding Method for Microcircuit Data. Frontiers Comput. Neurosci. 14: 603765 (2020) - [c10]Rong Chen, Yu Jin, Lizhen Xu:
A Classroom Student Counting System Based on Improved Context-Based Face Detector. WISA 2020: 326-332
2010 – 2019
- 2019
- [c9]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: 1-4 - 2018
- [c8]Rong Chen, Da-Ting Lin:
Decoding Brain States Based on Microcircuits. CBS 2018: 397-400 - [i2]Yu Jin, Joseph F. JáJá, Rong Chen, Edward H. Herskovits:
A Data-Driven Approach to Extract Connectivity Structures from Diffusion Tensor Imaging Data. CoRR abs/1802.04353 (2018) - 2017
- [j17]Rong Chen, Yuanjie Zheng, Erika Nixon, Edward H. Herskovits:
Dynamic network model with continuous valued nodes for longitudinal brain morphometry. NeuroImage 155: 605-611 (2017) - [c7]Rong Chen, Huaping Wang, Jiping He, Da-Ting Lin:
Dynamic micro-circuit analysis for calcium imaging data. CBS 2017: 169-172 - [c6]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: 173-177 - 2016
- [j16]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): 83-97 (2016) - [j15]Rong Chen, Erika Nixon, Edward Herskovits:
Advanced Connectivity Analysis (ACA): a Large Scale Functional Connectivity Data Mining Environment. Neuroinformatics 14(2): 191-199 (2016) - [i1]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 abs/1609.03893 (2016) - 2015
- [j14]Rong Chen, Edward Herskovits:
Examining the multifactorial nature of a cognitive process using Bayesian brain-behavior modeling. Comput. Medical Imaging Graph. 41: 117-125 (2015) - [j13]Edward Herskovits, L. Elliot Hong, Peter V. Kochunov, Hemalatha Sampath, Rong Chen:
Edge-Centered DTI Connectivity Analysis: Application to Schizophrenia. Neuroinformatics 13(4): 501-509 (2015) - [c5]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: 944-951 - [c4]Jeon Lee, Seung-Jun Kim, Rong Chen, Edward H. Herskovits:
Brain tumor image segmentation using kernel dictionary learning. EMBC 2015: 658-661 - 2014
- [j12]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: 120182:1-120182:4 (2014) - [j11]Rong Chen, Zhongqiu Wang, Yuanjie Zheng:
Advanced Medical Image Analysis. Comput. Math. Methods Medicine 2014: 975372:1 (2014) - 2012
- [j10]Rong Chen, Susan M. Resnick, Christos Davatzikos, Edward Herskovits:
Dynamic Bayesian network modeling for longitudinal brain morphometry. NeuroImage 59(3): 2330-2338 (2012) - [j9]Rong Chen, Edward Herskovits:
Graphical Model Based Multivariate Analysis (GAMMA): An Open-Source, Cross-Platform Neuroimaging Data Analysis Software Package. Neuroinformatics 10(2): 119-127 (2012) - 2010
- [j8]Rong Chen, Edward Herskovits:
Voxel-based Bayesian lesion-symptom mapping. NeuroImage 49(1): 597-602 (2010) - [j7]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): 589-599 (2010) - [j6]Rong Chen, Edward Herskovits:
Machine-learning techniques for building a diagnostic model for very mild dementia. NeuroImage 52(1): 234-244 (2010)
2000 – 2009
- 2009
- [c3]Rong Chen, Edward Herskovits:
Bayesian Classifier Combination for Microarray Classification. BIOCOMP 2009: 137-141 - 2008
- [j5]Rong Chen, Argye E. Hillis, Mikolaj A. Pawlak, Edward Herskovits:
Voxelwise Bayesian lesion-deficit analysis. NeuroImage 40(4): 1633-1642 (2008) - [c2]Jaime S. Ide, Rong Chen, Dinggang Shen, Edward Herskovits:
Robust Brain Registration Using Adaptive Probabilistic Atlas. MICCAI (2) 2008: 1041-1049 - 2007
- [j4]Rong Chen, Edward H. Herskovits:
Graphical-model-based multivariate analysis of functional magnetic-resonance data. NeuroImage 35(2): 635-647 (2007) - [j3]Rong Chen, Edward Herskovits:
Clinical Diagnosis Based on Bayesian Classification of Functional Magnetic-Resonance Data. Neuroinformatics 5(3): 178-188 (2007) - 2006
- [j2]Rong Chen, Edward H. Herskovits:
Network analysis of mild cognitive impairment. NeuroImage 29(4): 1252-1259 (2006) - 2005
- [j1]Rong Chen, Edward Herskovits:
Graphical-model-based morphometric analysis. IEEE Trans. Medical Imaging 24(10): 1237-1248 (2005) - [c1]Rong Chen, Edward Herskovits:
A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis. KDD 2005: 4-12
Coauthor Index
aka: Edward H. Herskovits
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