Update Your ProfileAcademic Title:
Associate Professor
Primary Appointment:
Diagnostic Radiology and Nuclear Medicine
Email:
Location:
100 N Greene St, 411
Phone (Primary):
410-706-3284
Fax:
410-706-1878
Education and Training
Southeast University, China, B.S. 1996, Biomedical Engineering
The Graduate School of Chinese Academy of Sciences, China, M.S. 1999, Electrical Engineering
Washington State University, Pullman, WA, Ph.D. 2003, Electrical and Computer Engineering
University of Pennsylvania, Philadelphia, PA, Postdoctoral Researcher, 2005, Radiology
University of Pennsylvania, Philadelphia, PA, M.T.R, 2012, Translational Research
Biosketch
Dr. Chen has a strong background in computational neuroscience, machine learning, neuroimaging, and clinical and translational research. Dr. Chen’s research focuses on leveraging machine learning and neuroimaging to understand the relationship between the brain and behavior across scales. This work leads to next-generation AI, a deeper understanding of the mechanisms behind cognition, emotion, and decision-making, as well as novel therapeutic concepts for brain diseases such as Alzheimer’s disease, Parkinson’s disease, substance use disorder, autism, sickle cell disease, and HIV. He has 20 years of experience in advanced modeling, algorithm, and software development. He has released two open-source biomedical data mining software packages on NITRC: the GAMMA suite and Advanced Connectivity Analysis.
Dr. Chen is Associate Vice Chair of AI, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine. He is a senior member of IEEE. As the PI, Dr. Chen conducts research funded by NIH NINDS, NIA, NIDA, the BRAIN initiative, and Oracle.
Research/Clinical Keywords
Computational Neuroscience, Machine Learning, Neuroimaging, Biomedical Data Analysis, Translational Medicine, Clinical Research
Highlighted Publications
Chen R. Bayesian Coherence Analysis for Microcircuit Structure Learning, Neuroinformatics, 2022. (Learn a Markov network with Bayesian network learning)
Chen R., Causal network inference for neural ensemble activity, Neuroinformatics, 19(3), 515-527, 2021. (A machine learning framework of causal inference based on neural activity data)
Barbera G, Liang B, Zhang LF, Gerfen CR, Culurciello E, Chen R#, Li Y#, Lin DT#. Spatially Compact Neural Clusters In The Dorsal Striatum Encode Locomotion Relevant Information. 92(1):202-213, Neuron. 2016. # co-corresponding authors. (The first study for calcium imaging based neural decoding).
Chen R, Herskovits EH, Graphical-Model-based Morphometric Analysis. IEEE Transaction on Medical Imaging. Vol 24, 1237-1248, October 2005. (A Bayesian computational framework for high-dimensional neuroimaging data)
Chen R, Sivakumar K, Kargupta H, Collective Mining of Bayesian Networks from Distributed Heterogeneous Data, Knowledge and Information Systems. 6(2):164-187, 2004. (The first study about distributed Bayesian network learning)
Additional Publication Citations
Peer-reviewed journal articles
- Chen, R., Zhang, X.M., The Development of a New Type of Intelligent Surface Pressure Measuring Instrument, Instrument Technique and Sensor, Dec. 1997
- Chen, R., Liu, X.J., Zou, M.Y., Binary Image Restoration Based on MRF, Journal of Image and Graphics, Oct. 1999
- Chen, R., Sivakumar, K, Kargupta, H, Collective Mining of Bayesian Networks from Distributed Heterogeneous data, Knowledge and Information Systems, 6(2):164-187, 2004
- Chen, R., Herskovits, E. H., Graphical-Model-based Morphometric Analysis, IEEE Transaction on medical imaging, Vol 24, 1237-1248, Oct. 2005
- Chen, R., Herskovits, E. H., Network analysis of Mild Cognitive Impairment, NeuroImage, Vol 29, 1252-1259, 2006
- Chen, R., Herskovits E. H., Clinical Diagnosis based on Bayesian Classification of Functional Magnetic-resonance Data. Neuroinformatics, 5(3):178-88, Fall, 2007
- Chen, R., Herskovits E. H., Graphical-model-based Multivariate Analysis of Functional Magnetic Resonance Data, NeuroImage, Vol 35, 635-647, Apr. 2007
- Chen, R., Hillis A. E., Pawlak M., and Herskovits E. H., Voxelwise Bayesian Lesion Deficit Analysis, NeuoImage, Vol 40, 1633-1642, May, 2008
- Herskovits E. H., Chen, R., Integrating Data-Mining Support into a Brain-Image Database Using Open-Source Components, Advance in Medical Sciences, 18:1-10, Apr. 2008
- Chen, R., Pawlak, M., Flynn, T., Krejza, J., Herskovits, E. H., Melhem, E., Brain morphometry and IQ measurements in children with sickle cell disease, Journal of Developmental & Behavioral Pediatrics, 30(6):509-17, 2009
- Jiao, Y., Chen, R., Ke, X, Chu, KK, Lu ZH, Herskovits, E. H, Predictive models of autism spectrum disorder based on brain regional cortical thickness, NeuroImage, 50(2):589-99, 2010 (Experimental design, data analysis)
- Chen, R., Herskovits E. H, Voxel-based Bayesian lesion-symptom mapping, NeuroImage, 49:1, 597-602, 2010
- Chen, R., Herskovits E. H, Machine-learning techniques for building a diagnostic model for very mild dementia, NeuroImage, 52(1):234-44, 2010
- Krejza J, Chen R, Romanowicz G, Kwiatkowski JL, Ichord R, Arkuszewski M, Zimmerman R, Ohene-Frempong K, Desiderio L, Melhem ER., Sickle cell disease and imaging: inter-hemispheric differences in blood flow Doppler parameters, Stroke.42:1, 81-6, 2011 (Data analysis)
- Chen, R., Jiao Y., Herskovits E. H, Structural MRI in Autism Spectrum Disorder, invited paper, Pediatric Research, 69:63r-8r, 2011.
- Arkuszewski, M., Krejza, J., Chen, R., Kwiatkowski, J., Ichord, R., Zimmerman, R., Ohene-Frempong, K., Desiderio, L., E.R. Melhem, Sickle Cell Disease: Reference Values and Interhemispheric Differences of Nonimaging Transcranial Doppler Blood Flow Parameters, American Journal of Neuroradiology, 32(8):1444-50, 2011
- Jiao, Y., Chen, R., Cheng, L., Ke, X., Chu K., Lu ZH., Herskovits. E. H., Predictive models for subtypes of autism spectrum disorder based on single-nucleotide polymorphisms and magnetic resonance imaging, Advance in Medical Sciences, 56(2):334-42, 2011
- Jiao, Y., Chen, R., Ke, X., Cheng Li, Chu, K., Lu ZH, Herskovits, E. H., Single Nucleotide Polymorphisms Predict Symptom Severity of Autism Spectrum Disorder, Journal of Autism and Developmental Disorders, 42(6):971-83, 2011
- Chen, R., Herskovits E. H, Graphical model based multivariate analysis (GAMMA): an open-source, cross-platform neuroimaging data analysis software package, Neuroinformatics, 10(2):119-27, 2011
- Chen, R., Resnick, S., Davatzikos, C., Herskovits E. H., Dynamic Bayesian network modeling for longitudinal brain morphometry, NeuroImage, 59(3):2330-8, 2011
- Chen, R., Young, K., Chao L. L., Miller, B., Yaffe K., Weiner, M., Herskovits E. H., Prediction of Conversion from Mild Cognitive Impairment to Alzheimer Disease Based on Bayesian Data Mining with Ensemble Learning, The Neuroradiology Journal, 25:1, 5-16, 2012
- Kumar, M., Kim, S., Pickup, S., Chen, R., Fairless A., Ittyerah, R., Abel, T., Brodkin, E., Poptani, H., Longitudinal in-vivo diffusion tensor imaging for assessing brain developmental changes in BALB/cJ mice, a model of reduced sociability relevant to autism, Brain Research, 1455:56-67, 2012
- Chen, R., Wang, S., Poptani, H., Melhem, E. R., Herskovits, E. H. A Bayesian diagnostic system to differentiate glioblastomas from solitary brain metastases. Neuroradiol J. 10;26(2):175-83. 2013
- Arkuszewski M., Krejza J., Chen R., Melhem E. R., Sickle cell anemia: reference values of cerebral blood flow determined by continuous arterial spin labeling MRI. Neuroradiol J. 10;26(2):191-200. 2013
- Arkuszewski, M., Krejza, J., Chen, R., Ichord, R., Kwiatkowski, J., Bilello M., Zimmerman R., Ohene-Frempong K., Melhem, E. R., Prevalence of intracranial stenosis and silent cerebral infarcts in children with sickle cell anemia and low risk of stroke, International Journal of Stroke. 8(7):E50-1. DOI:10.1111/ijs.12115. 2013
- Arkuszewski, M., Krejza, J., Chen, R., Ichord, R., Kwiatkowski, JL., Bilello, M., Zimmerman, R., Ohene-Frempong, K., Melhem, E., Sickle cell anemia: intracranial stenosis and silent cerebral infarcts in children with low risk of stroke. Adv Med Sci. Mar;59(1):108-13, 2014
- Liu, Y., Wang, T., Chen, X., Zhang, J., Zhou, G., Wang, Z., Chen, R., Tract-based Bayesian multivariate analysis of mild traumatic brain injury. Comput Math Methods Med. 2014:120182. doi: 10.1155/2014/120182, 2014
- Chen, R., Herskovits, E. H., Examining the multifactorial nature of a cognitive process using Bayesian brain-behavior modeling. Comput Med Imaging Graph, 41:117-25, 2014
- Hickok, G., Rogalsky, C., Chen, R., Herskovits, E. H., Townsley, S., Hillis, A., Partially Overlapping Sensorimotor Networks Underlie Speech Praxis and Verbal Short-Term Memory: Evidence from Apraxia of Speech Following Acute Stroke, 8:649, Hum. Neurosci. 2014
- Chen, R., Herskovits, E. H., Bayesian predictive modeling based on multidimensional connectivity profiling, Neuroradiol J. 28(1), 5-11, 2015
- Chen, HJ., Chen, R., Yang, M., Teng, GJ., Herskovits, E. H., Identification of minimal hepatic encephalopathy in patients with cirrhosis based on white matter imaging and Bayesian data mining, AJNR, 36(3):481-7, 2015 (Experimental design, data analysis, data interpretation)
- Chen, R., Arkuszewski M, Krejza J., Zimmerman R., Herskovits, E. H., Melhem E. R. A prospective longitudinal brain-morphometry study of children with sickle-cell disease, AJNR, 36(2), 403-410, 2015
- Yang M, Yang YR, Li HJ, Lu XS, Shi YM, Liu B, Chen HJ, Teng GJ, Chen R, Herskovits EH. Combining diffusion tensor imaging and gray matter volumetry to investigate motor functioning in chronic stroke. PLoS One. May 12;10(5), 2015
- Herskovits EH, Hong LE, Kochunov P, Sampath H, Chen R. Edge-Centered DTI Connectivity Analysis: Application to Schizophrenia. Neuroinformatics. 13(4):501-509, 2015
- Chen, R., Herskovits, E. H. and ADNI, Predictive structural dynamic network analysis, Journal of neuroscience methods, 245:58-63, 2015
- Wang Q, Chen R, JaJa J, Jin Y, Hong LE. Herskovits EH, Connectivity-Based Brain Parcellation - A Connectivity-Based Atlas for Schizophrenia Research, Neuroinformatics, 14(1):83-97, 2016
- Wang Z, Wu W, Liu Y, Wang T, Chen X, Zhang J, Zhou G, Chen R. Altered cerebellar white matter integrity in patients with mild traumatic brain injury in the acute stage. PLoS One, 11(3): e0151489, 2016
- Chen, R., Nixon, E., Herskovits, E. H., Advanced Connectivity Analysis (ACA): a large scale functional connectivity data mining environment, Neuroinformatics, 14(2): 191-9, 2016
- Chen, R., Krejza, J., Arkuszewski, M., Zimmerman, R., Herskovits, E., Melhem, E., Brain morphometric analysis predicts decline of intelligence quotient in children with sickle cell disease: a preliminary study, Advances in Medical Sciences, 62(1): 151-157, 2017
- Barbera G, Liang B, Zhang LF, Gerfen CR, Culurciello E, Chen R#, Li Y#, Lin DT#. Spatially compact neural clusters in the dorsal striatum encode locomotion relevant information. 92(1):202-213, Neuron. 2016. # Co-corresponding authors.
- Jiao Y, Wang XH, Chen R, Tang TY, Zhu XQ, Teng GJ., Predictive models of minimal hepatic encephalopathy for cirrhotic patients based on large-scale brain intrinsic connectivity networks, Sep 14;7(1):11512, Sci Rep. 2017
- Chen HJ, Shi HB, Jiang LF, Chen L, Chen R., Disrupted topological organization of brain structural network associated with prior overt hepatic encephalopathy in cirrhotic patients, European Radiology, 28(1): 85-95, 2017
- Chen R., Zheng YJ, Nixon E, Herskovits E, Dynamic network model with continuous valued nodes for longitudinal brain morphometry, NeuroImage, 155:605-611, 2017
- Dreizin D., Bodanapally U., Boscak A., Tirada N., Issa G., Nascone J., Bivona L., Mascarenhas D., O’Toole R., Nixon E., Chen R., Siegel E., CT Prediction Model for Major Arterial Injury after Blunt Pelvic Ring Disruption, Radiology, 287(3): 1061-1069, 2017
- Naragum V., Jindal G., Miller T., Kole M., Shivashankar R., Merino J., Cole J., Chen R., Kohler N., Gandhi D., Functional Independence After Stroke Thrombectomy Using Thrombolysis in Cerebral Infarction Grade 2c, A New Aim of Successful Revascularization, World Neurosurgery, 119:e928-e933. doi: 10.1016/j.wneu.2018.08.006, 2018
- Miller TR, Giacon L, Kole MJ, Chen R., Jindal G., Gandhi D., Onyx embolization with the Apollo detachable tip microcatheter: A single-center experience. Interv Neuroradiol, 24(3):339-344. doi: 10.1177/1591019918758494, 2018
- Liang HJ., Chang L., Chen R., Oishi K., Ernst T., Independent and Combined Effects of Chronic HIV-Infection and Tobacco Smoking on Brain Microstructure, Journal of Neuroimmune Pharmacology, 13(4):509-522. doi: 10.1007/s11481-018-9810-9, 2018
- Yan T., Wang W., Yang L., Chen K., Chen R., Han Y., Rich club disturbances of the human connectome from subjective cognitive decline to Alzheimer’s disease, Theranostics, 8(12):3237-3255, 2018
- Qiu WL, Chen R., Chen X, Zhang HF, Song L, Cui WJ, Zhang JJ, Ye DD, Zhang YF, Wang ZQ, Oridonin-loaded and GPC1 Targeted Gold Nanoparticle for Multimodal Imaging and Therapy in Pancreatic Cancer, International Journal of Nanomedicine, 13:6809-6827, doi: 10.2147/IJN.S177993, 2018 (Data analysis)
- Liang B., Zhang LF., Barbera G., Fang WT., Zhang J., Chen XC, Chen R., Li Y., LinDT., Distinct and Dynamic ON and OFF Neural Ensembles in the Prefrontal Cortex Code Social Exploration, Neuron, 100(3):700-714, doi: 10.1016/j.neuron.2018.08.043, 2018 (Data analysis)
- White C., Dharaiya E., Dalal S., Chen R., Haramati L., Vancouver Risk Calculator compared to ACR LungRads in Predicting Malignancy: Analysis of the National Lung Screening Trial, Radiology, 291(1):205-211, 2019
- Roberts B.M., White M.G., Patton M.H, Chen R., Mathur B., Ensemble encoding of action speed by striatal fast-spiking interneurons, Brain Structure and Function, 224(7):2567-2576, 2019 (Data analysis and modeling)
- Qiu W, Zhang H, Chen X, Song L, Cui W, Ren S, Wang Y, Guo K, Li D, Chen R., Wang ZQ. A GPC1-targeted and gemcitabine-loaded biocompatible nanoplatform for pancreatic cancer multimodal imaging and therapy. Nanomedicine (Lond), 14(17):2339-2353, 2019
- Ren S, Chen X, Cui W, Chen R., Guo K, Zhang H, Chen S, Wang ZQ. Differentiation of chronic mass-forming pancreatitis from pancreatic ductal adenocarcinoma using contrast-enhanced computed tomography. Cancer Management and Research, 11:7857–7866, 2019
- Ren S, Zhang J, Chen J, Cui W, Zhao R, Qiu W, Duan S, Chen R, Chen X, Wang ZQ. Evaluation of Texture Analysis for the Differential Diagnosis of Mass-Forming Pancreatitis from Pancreatic Ductal Adenocarcinoma on Contrast-Enhanced CT Images. Oncol. 2019. doi: 10.3389/fonc.2019.01171.
- Duan N., Rao M., Chen X., Yin YY, Wang ZQ, Chen R., Predicting necrosis in adnexal torsion in women of reproductive age using magnetic resonance imaging, European Radiology, 30(2):1054-1061, 2020
- Duan N, Chen X, Yin Y, Wang Z, Chen R., Comparison between magnetic resonance hysterosalpingography and conventional hysterosalpingography: direct visualization of the fallopian tubes using a novel MRI contrast agent mixture. Acta Radiol. 2020
- Qiu WL, Duan N, Chen X, Ren S, Zhang YF, Wang ZQ, Chen R., Pancreatic Ductal Adenocarcinoma: Machine Learning–Based Quantitative Computed Tomography Texture Analysis for Prediction of Histopathological Grade, Cancer Management and Research, 11:9253-9264, 2019
- Liang C, Shao Q, Zhang W, Yang M, Chang Q, Chen R., Chen JF. Smcr8 deficiency disrupts axonal transport-dependent lysosomal function and promotes axonal swellings and gain of toxicity in C9ALS/FTD mouse models, Human molecular genetics, 28(23):3940-3953, 2019
- Zhang W, Ma Li, Yang M, Shao Q, Xu J, Lu ZP, Zhao Z, Chen R., Chai Y, and Chen JF, Cerebral organoid and mouse models reveal a RAB39b-PI3K-mTOR pathway dependent dysregulation of cortical development leading to macrocephaly/autism phenotypes, Genes & Development, 34(7-8):580-597, 2020
- Trent G., Ye .N, Chopr J., Chen R., Wong-You-Cheong J., Naslund M., Siddiqui M., Wnorowski A., Performance of PI-RADS v2 assessment categories assigned prior to MR-US fusion biopsy in a new fusion biopsy program, Clinical Imaging, 64:29-34, 2020
- Ren S., Zhao R., Zhang JJ, Guo K., Gu XY, Duan SF, Wang ZQ., Chen R., Diagnostic accuracy of unenhanced CT texture analysis to differentiate mass-forming pancreatitis from pancreatic ductal adenocarcinoma. Abdom Radiol, 2020
- Lee Y., Xie J., Lee EJ, Sudarsanan S., Lin DT, Chen R.*, Bhattacharyya S.S.*, Real-time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging, Frontiers in Computational Neuroscience, 2020
- Liang HJ, Tang WK, Chu W., Ernst T., Chen R., Chang L., Striatal and White Matter Volumes in Chronic Ketamine Users with or without Recent Regular Stimulants Use, Drug and Alcohol Dependence, 213:108063, 2020
- Chen R.*, Lee KH, Herskovits EH., Computational framework for detection of subtypes of neuropsychiatric disorders based on DTI-derived anatomical connectivity, The Neuroradiology Journal, 2020
- Wang J., Ren S., Liu YK, Guo K., Chen X., Wang ZQ, Chen R., Carcinoid Tumorlets Co-Existing with Chronic Pulmonary Inflammatory Processes: Imaging Findings and Histological Appearances, Medical Science Monitor, 2020
- Ren S., Zhao R., Cui WJ, Qiu WL, Guo K., Duan SF, Wang ZQ, Chen R., Computed Tomography-Based Radiomics Signature for the Preoperative Differentiation of Pancreatic Adenosquamous Carcinoma from Pancreatic Ductal Adenocarcinoma, Frontiers in Oncology, 2020
- Liu YK, Wu W., Chen X., Wu M., Hu G., Zhou G., Wang ZQ*, Chen R.*, Aberrant correlation between the default mode and salience networks in mild traumatic brain injury, Frontiers in Computational Neuroscience, 2020. (Co-corresponding author)
- Dreizin, D., Rosales, R., Li, G., Syed, H. and Chen, R., Volumetric Markers of Body Composition May Improve Personalized Prediction of Major Arterial Bleeding After Pelvic Fracture: A Secondary Analysis of the Baltimore CT Prediction Model Cohort. Canadian Association of Radiologists Journal, p.0846537120952508. 2020
- Hossain R., Chelala L., Sleilaty G., Amin S., Vairavamurthy J., Chen R., Gupta A., Jeudy J., White C., Preprocedure CT Findings of Right Heart Failure as a Predictor of Mortality After Transcatheter Aortic Valve Replacement, AJR. American journal of roentgenology, 2020
- Wu XM., Bhattacharyya SS., Chen R.*, WGEVIA: A Graph Level Embedding Method for Microcircuit Data, Frontiers in Computational Neuroscience, 2020
- Lee KH., Wu XM., Lee YS., Lin DT., Bhattacharyya SS., Chen R.*, Neural Decoding on Imbalanced Calcium Imaging Data with a Network of Support Vector Machines, Advanced Robotics, 2020
- Chen R., Causal network inference for neural ensemble activity, in press, Neuroinformatics, 2020. (A machine learning framework of causal inference based on neural activity data)
- Qiu W, Wang Z, Chen R., Shi H, Ma Y, Zhou H, Li M, Li W, Chen H, Zhou H., Xiaoai Jiedu Recipe suppresses hepatocellular carcinogenesis through the miR-200b-3p /Notch1 axis. Cancer Management Res. 2020
- Ren, S., Qian, L., Daniels, M.J., Duan, S., Chen, R. and Wang, Z., Evaluation of contrast-enhanced computed tomography for the differential diagnosis of hypovascular pancreatic neuroendocrine tumors from chronic mass-forming pancreatitis. European Journal of Radiology, 133, p.109360, 2020
- Chen HJ., Zhang XH., Shi JY., Jiang SF., Sun YF., Zhang L., Chen R., Thalamic structural connectivity abnormalities in minimal hepatic encephalopathy, Frontiers in Neuroanatomy, 15:7, 2021
- Wu XM., Lin DT., Chen R.*, Bhattacharyya SS.*, Learning compact DNN models for behavior prediction from neural activity of calcium imaging, Journal of Signal Processing Systems, 2021
- Chen R., Herskovits EH, the Alzheimer’s Disease Neuroimaging Initiative, Machine Learning Detects Distinct Subtypes of Minimal Cognitive Impairment, Journal of Signal Processing Systems, 16, 1-7, 2021
- Ma L., Wang J., Ge JL., Wang Y., Zhang W., Du YN., Luo J., Li YP., Wang F., Fan GP., Chen R., Yao B., Zhao Z., Guo ML., Kim WK., Chai Y., Chen JF., Reversing neural circuit and behavior deficit in mice exposed to maternal inflammation by Zika virus, EMBO Rep, 22(8):e51978, 2021
- Sun XC, Duan SW, Cao A, Villagomez B, Lin RX, Chen HX, Pi LY, Ren B, Chen R, Chen MJ, Ying ZK, Fang SY, Cao Q, RRY Inhibits Amyloid-β1–42 Peptide Aggregation and Neurotoxicity, Jun 8;5(1):479-495, 2021
- Zhang Y, Denman AJ, Liang B, Werner CT, Beacher NJ, Chen R., Li Y, Shaham Y, Barbera G, Lin DT, Detailed mapping of behavior reveals the formation of prelimbic neural ensembles across operant learning, Neuron, 110(4), 674-685, 2022
- Chen J, Chen R, Xue C, Qi W, Hu G, Xu W, Chen S, Rao J, Zhang F, Zhang X. Hippocampal-Subregion Mechanisms of Repetitive Transcranial Magnetic Stimulation Causally Associated with Amelioration of Episodic Memory in Amnestic Mild Cognitive Impairment. J Alzheimers Dis. 2022
- McKeon PN, Bunce GW, Patton MH, Chen R, Mathur BN, Cortical control of striatal fast-spiking interneuron synchrony, J Physiol. 600(9):2189-2202, 2022
- Liang B, Zhang LF, Zhang Y, Werner CT, Beacher NJ, Denman AJ, Li Y, Chen R, Gerfen CR, Barbera G, Lin DT. Striatal direct pathway neurons play leading roles in accelerating rotarod motor skill learning, iScience, 25(5): 104245, 2022
- Liang B, Thapa R, Zhang G, Moffitt C, Zhang Y, Zhang LF, Johnston A, Ruby HP, Barbera G, Wong PC, Zhang ZJ, Chen R, Lin DT, Li Y. Aberrant neural activity in prefrontal pyramidal neurons lacking TDP-43 precedes neuron loss, Prog Neurobiol, in press, doi: 10.1016/j.pneurobio.2022.102297, 2022
- Xu DF, Chen R*. Meta-Learning for Decoding Neural Activity Data with Noisy Labels, Frontiers in Computational Neuroscience, in press, 2022
- Chen R, Bayesian Multisource Data Integration for Explainable Brain-behavior Analysis, Frontiers in Neuroscience, 16:1044680. doi: 10.3389/fnins.2022.1044680, 2022
- Chen R, Bayesian Coherence Analysis for Microcircuit Structure Learning, Neuroinformatics, in press, 2022
- Xie J, Chen R*, Bhattacharyya S*, A Parameter-Optimization Framework for Neural Decoding Systems, Frontiers in Neuroinformatics, in press, 2023
- Varanasi S, Tuli R, Han F, Chen R, Choa FS, Age Related Functional Connectivity Signature Extraction Using Energy-Based Machine Learning Techniques, Sensors, 23(3):1603, 2023
- Wu X, Lin DT, Chen R, Bhattacharyya SS. Jump-GRS: a multi-phase approach to structured pruning of neural networks for neural decoding. J Neural Eng. 20(4), 2023
- Xie J, Yan YZ, Saxena A, Qiu Q, Chen JG, Sun HY, Chen R, Bhattacharyya SS. ShaderNN: A lightweight and efficient inference engine for real-time applications on mobile GPUs, Neurocomputing, in press, 2024