PUBLICATIONS - Theory, Methods & Application

  • Ma, X., Kundu , S., and Stevens, J. (2021+). Semi-parametric Bayes Regression with Network Valued Covariates. https://arxiv.org/abs/1910.03772 (Honorable Mention for Poster at Georgia Statistics Day 2019, Recipient of ENAR student paper award, 2019). Revision Submitted to the Machine Learning Journal.

  • Kundu, S., and Lukemire, J. (2021+). Bayesian Non-parametric Modeling of Population of Vector Autoregressions. Submitted.

  • Ma, X., Kundu∗, S. (2021+). Multi-task Learning with High-Dimensional Noisy Images. Revision Invited in Journal of the American Statistical Association, T&M.

  • Kundu∗, S., Min+, J., McGregor, K.M., Noecera, J. (2021). Integrative Analysis for Population of Dynamic Networks with Covariates. NeuroImage. ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2021.118181

  • Kundu∗, S., Ming+, J., and Stevens, J. (2021). Dynamic Brain Functional Networks Guided By Anatomical Knowledge. Brain Connectivity, https://doi.org/10.1089/brain.2020.0900

  • Kundu, S. and Risk, B., 2020. Bayesian Matrix Normal Graphical Models for Brain Functional Networks. Biometrics. https://doi.org/10.1111/biom.13319

  • Lukemire, J.D., Kundu, S., Pagnoni, G., and Guo, Y. , 2020, Bayesian Joint Estimation of Multiple Brain Functional Networks. Journal of the American Statistical Association. https://arxiv.org/abs/1708.02123

  • Kundu, S., Lukemire. J., Wang, Y., and Guo, Y. 2019. A Novel Joint Brain Network Analysis for Longitudinal Alzheimer's Disease Data. Nature Scientific Reports 9, 19589 (2019) doi:10.1038/s41598-019-55818-z

  • Kundu, S., and Suthaharan, S., 2019. Privacy-Preserving Predictive Model Using Factor Analysis for Neuroscience Applications, IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), Washington, DC, USA, 2019, pp. 67-73. doi:10.1109/BigDataSecurity-HPSC-IDS.2019.00023 (acceptance rate 19.7%).

  • Higgins, I.A., Kundu, S., Choi, K.S. and Mayberg, H, Guo, Y. 2019. A Differential Degree Test for Comparing Brain Networks. 40(15):4518-4536. doi:10.1002/hbm.24718, Human Brain Mapping.

  • Li, Z.,Chang, C.,Kundu, S., and Long, Q. 2018. Bayesian Generalized Biclustering Analysis via AdaptiveStructured Shrinkage. Biostatistics, kxy081, https://doi.org/10.1093/biostatistics/kxy081.

  • Higgins, I., Kundu, S. and Guo, Y., 2018, Integrative Bayesian analysis of brain functional networks incorporating anatomical knowledge, NeuroImage, Volume 181, Pages 263-278, ISSN 1053-8119. https://doi.org/10.1016/j.neuroimage.2018.07.015

  • Kundu, S., Ming, J., Pierce, J., McDowell, J., and Guo, Y., 2018, Estimating dynamic brain functional networks using multi-subject fMRI data, NeuroImage, Volume 183, 2018, Pages 635-649, ISSN 1053-8119 https://doi.org/10.1016/j.neuroimage.2018.07.045

  • Kundu S, Cheng Y, Shin M, Manyam G, Mallick BK, et al. (2018) Bayesian variable selection with graphical structure learning: Applications in integrative genomics. PLOS ONE 13(7): e0195070. https://doi.org/10.1371/journal.pone.0195070

  • Chang, C., Kundu, S., and Long, Q., 2018, Scalable Bayesian Variable Selection for Structured High Dimensional Data, Biometrics, doi: 10.1111/biom.12882. PubMed PMID: 29738602. https://doi.org/10.1111/biom.12882

  • Kundu, Suprateek; Mallick, Bani K.; Baladandayuthapani, Veera. Efficient Bayesian Regularization for Graphical Model Selection. Bayesian Anal., advance publication, 11 July 2018. doi:10.1214/17-BA1086. https://projecteuclid.org/euclid.ba/1531274648

  • Kundu S, Kang J. Semiparametric Bayes conditional graphical models for imaging genetics applications. Stat (International Statistical Institute). 2016;5(1):322-337. doi:10.1002/sta4.119

  • Kundu, S., & Dunson, D. , 2014, Bayesian Variable Selection in Semi-parametric Linear Models, Journal of the American Statistical Association, Theory & Methods, 109, 437-447 https://doi.org/10.1080/01621459.2014.881153

  • Kundu, S., & Dunson, D. , 2014, Latent Factor Models for Density Estimation, Biometrika, 101, 641-654 https://doi.org/10.1093/biomet/asu019

  • Gouskova, N.A., Kundu, S., Imrey, P.B., Fine, J.P., 2013, Number Needed to Treat for Time to Event Data with Competing Risks, Statistics in Medicine, 33, 181-192 https://doi.org/10.1002/sim.5922

PUBLICATIONS - Collaborative

  • Stedge, B., Noll, A., Vora, R., Lee, F., Zheng Z., Kundu, S., Subramanian, R. (2021+). Alcoholic Liver Disease is an Independent Risk Factor for Neurologic Complications Following Liver Transplant.
    Submitted.

  • Drwiega, E., Rab, S., Schechter, M., Andruski, R., Kundu, S., Zheng, Z., and Patel, M. (2021+). Evaluation of an Outpatient Parenteral Antimicrobial Therapy Program at a Large Academic Medical Center. Submitted.

  • Obineme, C.G., Kline, M., Kundu, S., Samo, S., . . . , Srinivasan, S., and Jain, A.S. (2021+). Functional Lumen Imaging Probe Topography Diagnoses Distension-Induced Esophagogastric Junction Outflow Obstruction Which Responds to Botulinum Toxin Injection. Submitted.

  • Bloch, J.M., Kundu , S., Krishnan, S., Calderon, L., Godiers, M., Kline, M., Samo, S., McColloch, N., Klein, A., Hatcher, J., Tkaczuk, A., Christie, J., Srinivasan, S., Jain, A.S. (2020+). Globus and Other Laryngeal Symptoms Are Associated with Dysphagia and Esophageal Motor Disorders. Submitted.


  • Krishnamurthy, L.C., Krishnamurthy, V., Rodriguez, A.D., McGregor, K.M., Champion, G.N., Hortman, K., Roberts, S.R., Harnish, S.M., Belagaje, S.R., Kundu , S., Benjamin, M.L., Gopinath, K., Rosenbek, J.C., McCouch1, N., and Crosson, B.A., (2021). Not all lesioned tissue is equal: A new look at chronic stroke with Tissue Integrity Gradation via T2w T1w Ratio (TIGR). Frontiers of Neuroscience.

  • Solis-Lemus, C., Ma, X., Hotstetter II, M., Kundu, S. Pimental, D., Peng, Q., 2018+, Prediction of functional markers of mass cytometry data via deep learning. Published in Statistical Modeling in Biomedical Research - Contemporary Topics and Voices in the Field by Springer Nature. Edited by Yichuan Zhao and Ding-Geng Chen.

  • Aldredge, A., Roth, G. Vaidya, A., Duarte, A.P. Kundu, S., Zheng, Z., Smith, B., Lora, M., Gruen, J., Sheth, A., Sales, J., Cantos, V.D. (2020). PrEP Care Continuum among Transgender Women at a patient-centered PrEP program in Atlanta. Accepted in AIDS.

  • Anderson, A.M., Kundu, S., Tang, B., Vaida, F., Okwuegbuna, O., McClernon, D., Cherner, M., Cookson, D., Crescini, M., Grant, I., Ellis, R.J., Letendre, S.L., (2020). Cerebrospinal fluid CXCL10 is associated with the presence of low level CSF HIV during suppressive antiretroviral therapy. Accepted in Journal of Acquired Immune Deficiency Syndromes.

  • Beret, A., Lai, L., Xu, Y., Zheng, Z., Kundu, S., Lennox, J., Waldrop-Valverde, D., Franklin, D., Letendre, S., Anderson, A., 2020. CSF inflammatory cells are related to cognition and neuronal damage in HIV-infected individuals. Journal of Neuroimmunology, Volume 344, 577246, ISSN 0165-5728.

  • Lyles, R. H., Cunningham, S. A., Kundu, S., Bassat, Q., Mandomando, I., Sacoor, C., Akelo, V., Onyango, D., Zielinski-Gutierrez, E., & Taylor, A. W. (2020). Extrapolating sparse gold standard cause of death designations to characterize broader catchment areas. Epidemiologic Methods, 9(1), 20190031.doi:https://doi.org/10.1515/em-2019-0031.

  • Krishnamurthy, V., Krishnamurthy, L.C., Drucker, J.H., Kundu, S., Ji, B., Hortman, K., Roberts, S.R., Mammino, K., Tran, S.M., Gopinath, K., McGregor, K.M., Rodriguez, A.D., Qiu, D., Crosson, B., Nocera, J.R., 2020, Neuro-sensitization of language fMRI signals using resting cerebral blood flow measures in an aging model. Frontiers in Neuroscience, Vol: 14, page 336, DOI=10.3389/fnins.2020.00336.

  • Sule, P., Tilvawala, R., Mustapha, T., Hassounah, H., Noormohamed, A., Kundu, S., Graviss, E., Walkup, G., Kong, Y., and Cirillo, J., 2019. Rapid Tuberculosis Diagnosis Using Reporter Enzyme Fluorescence (REF). Journal of Clinical Microbiology, 2019, doi:10.1128/JCM.01462-19,

  • Hsu, D., Chokshi, F. H., Hudgins, P. A., Kundu, S., Beitler, J. J., Patel, M. R., & Aiken, A. H., 2019. Predictive Value of First Posttreatment Imaging Using Standardized Reporting in Head and Neck Cancer.Otolaryngology - Head and Neck Surgery.

  • Hanna TN, Kundu S, Singh K, Horny M, Wood D, Prater A, Duszak R Jr. Emergency department imaging superusers. Emergency Radiology, 2018 Nov 15. doi:10.1007/s10140-018-1659-y

  • Chokshi, F.H., Kang, J., Kundu, S., Castillo, M. Bibliometric Analysis of Manuscript Title Characteristics Associated With Higher Citation Numbers: A Comparison of Three Major Radiology Journals, AJNR, AJR, and Radiology. Current Problems in Diagnostic Radiology, Nov 2016, 45(6):356-360.