Zaleski, A., Craig, K. J. T., Caddigan, E., Yang, H., Cheng, Z., McNutt, S. L., & Baquet-Simpson, A. (2023). Leveraging Clinical Informatics to Address the Quintuple Aim for End-of-Life Care. In AMIA Annual Symposium Proceedings (Vol. 2023, p. 784). American Medical Informatics Association. PMID: 38222390

Mezlini, A. M., Caddigan, E., Shapiro, A., Ramirez, E., Kondow-McConaghy, H. M., Yang, J., DeMarco, K., Naraghi-Arani, P. & Foschini, L. (2023). Precision recruitment for high-risk participants in a COVID-19 cohort study. Contemporary Clinical Trials Communications, 33, 101113. https://doi.org/10.1016/j.conctc.2023.101113

Mezlini, A., Shapiro, A., Daza, E. J., Caddigan, E., Ramirez, E., Althoff, T., Foschini, L. (2022). Estimating the Burden of Influenza on Daily Activity at Population Scale Using Commercial Wearable Sensors. JAMA Network Open, 5(5). https://doi.org/10.1001/jamanetworkopen.2022.11958

Caddigan, E. (2018). Reconstructing simulator control inputs: A machine learning approach. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 62(1), 54-56. https://doi.org/10.1177/1541931218621012

Caddigan, E., Choo, H., Fei-Fei, L., & Beck, D. M. (2017). Categorization influences detection: A Perceptual Advantage for Representative Exemplars of Natural Scene Categories. Journal of Vision, 17(1), 21. https://doi.org/10.1167/17.1.21

Ahlstrom, U., Ohneiser, O., & Caddigan, E. (2016). Portable weather applications for general aviation pilots. Human Factors, 58(6), 864-885. https://doi.org/10.1177/0018720816641783

Tseng, Y. C., Glaser, J. I., Caddigan, E., & Lleras, A. (2014). Modeling the effect of selection history on pop-out visual search. PLOS ONE, 9(3), e89996. https://doi.org/10.1371/journal.pone.0089996

Torralbo, A., Walther, D. B., Chai, B., Caddigan, E., Fei-Fei, L., & Beck, D. M.. (2013). Good exemplars of natural scene categories elicit clearer patterns than bad exemplars but not greater BOLD activity. PLOS ONE, 8(3), e58594. https://doi.org/10.1371/journal.pone.0058594

Walther, D. B., Chai, B., Caddigan, E., Beck, D. M., & Fei-Fei, L. (2011). Simple line drawings suffice for fMRI decoding of natural scene categories. Proceedings of the National Academy of Sciences, 108(23), 9661-9666. https://doi.org/10.1073/pnas.1015666108

Caddigan, E., & Lleras, A. (2010). Saccadic repulsion in pop-out search: How a target’s dodgy history can push the eyes away from it. Journal of Vision, 10(14), 9. https://doi.org/10.1167/10.14.9

Caddigan, E., Walther, D. B., Fei-Fei, L., & Beck, D. M. (2010). Perceptual differences between natural scene categories. Object Perception, Attention, and Memory (OPAM) 2010 Conference Report 18th Annual Meeting, St. Louis, Missouri, MO, USA. Visual Cognition, 18(10), 1498-1502. https://doi.org/10.1080/13506285.2010.521658

Walther, D. B., Caddigan, E., Fei-Fei, L., & Beck, D. M. (2009). Natural scene categories revealed in distributed patterns of activity in the human brain. Journal of Neuroscience, 29(34), 10573-10581. https://doi.org/10.1523/JNEUROSCI.0559-09.2009

Simons, D. J., Lleras, A., Martinez-Conde, S., Slichter, D., Caddigan, E., & Nevarez, G. (2006). Induced visual fading of complex images. Journal of Vision, 6(10), 1093-1101. https://doi.org/10.1167/6.10.9