Scholars@Duke

• Background
• 

  Education, Training, & Certifications

  • Ph.D., Auburn University 2016
• 

  Previous Appointments & Affiliations

  • Assistant Professor in Psychiatry and Behavioral Sciences, Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences, Psychiatry & Behavioral Sciences 2021 - 2022
• Recognition
• 

  Awards & Honors

  • BBRF Young Investigator Award. Brain & Behavior Research Foundation. 2021
  • K99/R00 Pathway to Independence Award. NIH- NICHD. 2021
• Expertise
• 

  Subject Headings

  • Artificial Intelligence
  • Biomedical imaging and signal processing
  • Image segmentation
  • Infant
  • Machine learning
  • Magnetic Resonance Imaging
  • Neurodevelopmental Disorders
  • Supervised Machine Learning
• Research
• 

  Selected Grants

  • Adverse Impact Of In Utero SSRI Exposure On Offspring's Brain Myelination At Birth And Social Behavior At 12 Months awarded by Brain and Behavior Research Foundation 2022 - 2024
  • Leveraging artificial intelligence to develop novel tools for studying infant brain development awarded by National Institutes of Health 2022 - 2023
• Publications & Artistic Works
• 

  Selected Publications

  • Academic Articles

    • Deshpande, G., Wang, Y., & Robinson, J. (2022). Resting state fMRI connectivity is sensitive to laminar connectional architecture in the human brain. Brain Informatics, 9(1). https://doi.org/10.1186/s40708-021-00150-4
       Full Text
    • Wang, Y., Haghpanah, F. S., Zhang, X., Santamaria, K., da Costa Aguiar Alves, G. K., Bruno, E., … program collaborators for Environmental influences on Child Health Outcomes, . (2022). ID-Seg: an infant deep learning-based segmentation framework to improve limbic structure estimates. Brain Inform, 9(1), 12. https://doi.org/10.1186/s40708-022-00161-9
       Full Text  Link to Item
    • Zhang, X., He, X., Guo, J., Ettehadi, N., Aw, N., Semanek, D., … Wang, Y. (2022). PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers. Ieee Trans Med Imaging, PP. https://doi.org/10.1109/TMI.2022.3174827
       Full Text  Link to Item
    • Abraham, E., Wang, Y., Svob, C., Semanek, D., Gameroff, M. J., Shankman, S. A., … Posner, J. (2022). Organization of the social cognition network predicts future depression and interpersonal impairment: a prospective family-based study. Neuropsychopharmacology, 47(2), 531–542. https://doi.org/10.1038/s41386-021-01065-8
       Full Text
    • Ettehadi, N., Kashyap, P., Zhang, X., Wang, Y., Semanek, D., Desai, K., … Laine, A. F. (2022). Automated Multiclass Artifact Detection in Diffusion MRI Volumes via 3D Residual Squeeze-and-Excitation Convolutional Neural Networks. Front Hum Neurosci, 16, 877326. https://doi.org/10.3389/fnhum.2022.877326
       Full Text  Link to Item
    • Wang, Y., Hinds, W., Duarte, C. S., Lee, S., Monk, C., Wall, M., … Posner, J. (2021). Intra-session test-retest reliability of functional connectivity in infants. Neuroimage, 239, 118284–118284. https://doi.org/10.1016/j.neuroimage.2021.118284
       Full Text
    • Martin, D., & Townsend, K. (2019). Corporate Sponsorship in College Football; An fMRI Study Measuring the Effectiveness of Corporate Branding Across Rival Teams. Sport Marketing Quarterly, 28(4), 209–221. https://doi.org/10.32731/smq.284.122019.03
       Full Text
    • Wang, Y., Bernanke, J., Peterson, B. S., McGrath, P., Stewart, J., Chen, Y., … Posner, J. (2019). The association between antidepressant treatment and brain connectivity in two double-blind, placebo-controlled clinical trials: a treatment mechanism study. The Lancet Psychiatry, 6(8), 667–674. https://doi.org/10.1016/s2215-0366(19)30179-8
       Full Text
    • Uniacke, B., Wang, Y., Biezonski, D., Sussman, T., Lee, S., Posner, J., & Steinglass, J. (2019). Resting-state connectivity within and across neural circuits in anorexia nervosa. Brain and Behavior, 9(1), e01205–e01205. https://doi.org/10.1002/brb3.1205
       Full Text
    • Wang, Y., Xu, C., Park, J.-H., Lee, S., Stern, Y., Yoo, S., … Alzheimer’s Disease Neuroimaging Initiative, . (2019). Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes. Neuroimage Clin, 23, 101859. https://doi.org/10.1016/j.nicl.2019.101859
       Full Text  Link to Item
    • Bernanke, J., Wang, Y., & Posner, J. (2018). Time-Varying Analyses of Imaging Data: Capturing the Role of Network Dynamics in Psychopathology. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3(3), 205–206. https://doi.org/10.1016/j.bpsc.2018.01.006
       Full Text
    • Davis, M. T., Daniel, T. A., Witte, T. K., Beyers, R. J., Willis, J. Z., Wang, Y., … Deshpande, G. (2016). Demonstration and validation of a new pressure-based MRI-safe pain tolerance device. Journal of Neuroscience Methods, 271, 160–168. https://doi.org/10.1016/j.jneumeth.2016.07.001
       Full Text
    • Jia, H., Pustovyy, O. M., Wang, Y., Waggoner, P., Beyers, R. J., Schumacher, J., … Deshpande, G. (2016). Enhancement of Odor-Induced Activity in the Canine Brain by Zinc Nanoparticles: A Functional MRI Study in Fully Unrestrained Conscious Dogs. Chemical Senses, 41(1), 53–67. https://doi.org/10.1093/chemse/bjv054
       Full Text
    • Daniel, T. A., Townsend, K. M., Wang, Y., Martin, D. S., Katz, J. S., & Deshpande, G. (n.d.). North American Football Fans Show Neurofunctional Differences in Response to Violence: Implications for Public Health and Policy. Frontiers in Public Health, 6. https://doi.org/10.3389/fpubh.2018.00177
       Full Text
    • Goodman, A. M., Wang, Y., Kwon, W.-S., Byun, S.-E., Katz, J. S., & Deshpande, G. (n.d.). Neural Correlates of Consumer Buying Motivations: A 7T functional Magnetic Resonance Imaging (fMRI) Study. Frontiers in Neuroscience, 11. https://doi.org/10.3389/fnins.2017.00512
       Full Text
    • Kyathanahally, S. P., Wang, Y., Calhoun, V. D., & Deshpande, G. (n.d.). Investigation of True High Frequency Electrical Substrates of fMRI-Based Resting State Networks Using Parallel Independent Component Analysis of Simultaneous EEG/fMRI Data. Frontiers in Neuroinformatics, 11. https://doi.org/10.3389/fninf.2017.00074
       Full Text
    • Wang, Y., Kessel, E., Lee, S., Hong, S., Raffanello, E., Hulvershorn, L. A., … Posner, J. (n.d.). Causal effects of psychostimulants on neural connectivity: a mechanistic, randomized clinical trial. Journal of Child Psychology and Psychiatry. https://doi.org/10.1111/jcpp.13585
       Full Text

  • Conference Papers

    • Ettehadi, N., Zhang, X., Wang, Y., Semanek, D., Guo, J., Posner, J., & Laine, A. F. (2021). Automatic Volumetric Quality Assessment of Diffusion MR Images via Convolutional Neural Network Classifiers. In 2021 43rd Annual International Conference of the Ieee Engineering in Medicine &Amp; Biology Society (Embc). IEEE. https://doi.org/10.1109/embc46164.2021.9630834
       Full Text

  • Preprints

    • Wang, Y. (n.d.). PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer. Arxiv. https://doi.org/10.48550/arXiv.2105.13993
       Full Text
    • Wang, Y., Haghpanah, F. S., Zhang, X., Santamaria, K., da Costa Aguiar Alves, G. K., Bruno, E., … Posner, J. (n.d.). ID-Seg: An Accurate and Reliable Infant Deep learning Segmentation Framework for Limbic Structures. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2021.03.29.437045
       Full Text
• Teaching & Mentoring
• 

  Recent Courses

  • ECE 899: Special Readings in Electrical Engineering 2022

Some information on this profile has been compiled automatically from Duke databases and external sources. (Our About page explains how this works.) If you see a problem with the information, please write to Scholars@Duke and let us know. We will reply promptly.