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Rong Chen Ph.D.

Academic Title: Assistant Professor
Primary Appointment: Diagnostic Radiology and Nuclear Medicine
rchen@umm.edu
Location: 100 N Greene St, 411
Phone: 410-706-3284

Personal History:

  • M.S. in Translational Medicine, School of Medicine, University of Pennsylvania, Philadelphia, PA. 2012
  • Ph.D., School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA. 2003
  • M.S., Dept of Electrical Engineering, Graduate School of Chinese Academy of Sciences, Beijing, China. 1999
  • B.S., Dept of Biomedical Engineering, Southeast University, Nanjing, China. 1996

Research Interests:

  • machine learning
  • biomedical data analysis
  • translational research
  • computational neuroscience

Publications:

  1. 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, in press, AJNR, 2014
  2. Chen, HJ., Chen, R., Yang, M., Teng, GJ., Herskovits, E. H., Identification of Minimal Hepatic Encephalopathy in Cirrhotic Patients Based on White Matter Imaging and Bayesian Data Mining, in press, AJNR, 2014
  3. 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, in press, Front. Hum. Neurosci. 2014
  4. 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
  5. Arkuszewski M, Krejza J, Chen R, Ichord R, Kwiatkowski JL, Bilello M, Zimmerman R, Ohene-Frempong K, Melhem E. R. 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
  6. 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
  7. 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
  8. 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
  9. 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 social behavioral abnormalities in the BALB/cJ mouse brain, Brain Research, 2012
  10. 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, 2012
  11. Chen, R., Resnick, S., Davatzikos, C., Herskovits E. H., "Dynamic Bayesian network modeling for longitudinal brain morphometry", 59(3):2330-8, NeuroImage, 2011
  12. Chen, R., Herskovits E. H, "Graphical model based multivariate analysis (GAMMA): an open-source, cross-platform neuroimaging data analysis software package", Neuroinformatics, 2011
  13. 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, 2011
  14. 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 
  15. 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.
  16. Chen, R., Jiao Y., Herskovits E. H, "Structural MRI in Autism Spectrum Disorder", invited paper, Pediatric Research, 2011
  17. 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.
  18. Chen, R., Herskovits E. H, "Machine-learning techniques for building a diagnostic model for very mild dementia", NeuroImage, 52(1):234-44, 2010. 
  19. Chen, R., Herskovits E. H, "Voxel-based Bayesian lesion-symptom mapping", NeuroImage, 49:1, 597-602, 2010. 
  20. 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. 
  21. 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. 
  22. Chen, R., Herskovits E. H, "Bayesian Classifier Combination for Microarray Classification", Proceedings of Biocomp, July, 2009
  23. Herskovits E. H., Chen, R., "Integrating Data-Mining Support into a Brain-Image Database Using Open-Source Components", 18:1-10, Advance in Medical Sciences, Apr. 2008 
  24. Chen, R., Hillis A. E., Pawlak M., and Herskovits E. H., "Voxelwise Bayesian Lesion Deficit Analysis", Vol 40, 1633-1642, NeuoImage, May, 2008.
  25. Chen, R., Herskovits E. H., "Graphical-model-based Multivariate Analysis of Functional Magnetic Resonance Data", NeuroImage, Vol 35, 635-647, Apr. 2007.
  26. Chen, R., Herskovits E. H., "Clinical Diagnosis based on Bayesian Classification of Functional Magnetic-resonance Data". 5(3):178-88, Neuroinformatics, Fall, 2007.
  27. Chen, R., Herskovits, E. H., "Network analysis of Mild Cognitive Impairment", NeuroImage, Vol 29, 1252-1259, 2006
  28. Chen, R., Herskovits, E. H., "Graphical-Model-based Morphometric Analysis", IEEE Transaction on medical imaging, Vol 24, 1237-1248, Oct. 2005
  29. Chen, R., Herskovits, E. H., "A Bayesian Network Classifier with Inverse Tree Structure for Voxel-wise MR Image Analysis", Proceedings of the eleventh conference of SIGKDD, 2005
  30. Chen, R., Sivakumar, K, Kargupta, H, "Collective Mining of Bayesian Networks from Distributed Heterogeneous data", Knowledge and Information Systems, 6(2):164-187, 2004
  31. Chen. R, Giannella. C, Sivakumar. K, and Kargupta. H, "Distributed Data Mining for Earth and Space Science Applications", Proceeding of the fourth annual Earth Science Technology conference (ESTC), June, 2004
  32. Chen. R, Sivakumar. K, and Kargupta, H., "Learning Bayesian Network Structure from Distributed Data", Proceedings of SIAM Data Mining 03, 2003
  33. Chen, R., Sivakumar, K., "A New Algorithm for Learning Parameters of a Bayesian Network from Distributed Data", Proceedings of the IEEE International Conference on Data Mining, 2002
  34. Chen, R., Sivakumar, K., Kargupta, H., "Distributed Web Mining Using Bayesian Networks from Multiple Data Streams", Proceedings of the IEEE Conference on Data Mining, Nov. 2001
  35. Chen, R., Sivakumar, K., Kargupta, H., "An Approach to Online Bayesian Learning from Multiple Data Streams", Proceedings of Workshop on Mobile and Distributed Data Mining, PKDD '01, July, 2001
  36. Chen, R., Zhang, X.M., "The Development of a New Type of Intelligent Surface Pressure Measuring Instrument", Instrument Technique and Sensor, Dec. 1997