index.md (3701B)
1 --- 2 title: "Publications" 3 lastmod: 2024-05-19T15:19:43-07:00 4 description: "Published articles and posted preprints" 5 --- 6 7 [Zaleski, A., Craig, K. J. T., Caddigan, E., Yang, H., Cheng, Z., McNutt, S. 8 L., & Baquet-Simpson, A. (2023). Leveraging Clinical Informatics to Address 9 the Quintuple Aim for End-of-Life Care. In _AMIA Annual Symposium 10 Proceedings_ (Vol. 2023, p. 784). American Medical Informatics 11 Association.](2023amia.pdf) [PMID: 12 38222390](https://pubmed.ncbi.nlm.nih.gov/38222390/) 13 14 [Mezlini, A. M., Caddigan, E., Shapiro, A., Ramirez, E., Kondow-McConaghy, 15 H. M., Yang, J., DeMarco, K., Naraghi-Arani, P. & Foschini, L. (2023). 16 Precision recruitment for high-risk participants in a COVID-19 cohort study. 17 _Contemporary Clinical Trials Communications, 33_, 101113.](2023cctc.pdf) 18 <https://doi.org/10.1016/j.conctc.2023.101113> 19 20 [Mezlini, A., Shapiro, A., Daza, E. J., Caddigan, E., Ramirez, E., Althoff, 21 T., Foschini, L. (2022). Estimating the Burden of Influenza on Daily 22 Activity at Population Scale Using Commercial Wearable Sensors. _JAMA 23 Network Open, 5_(5).](2022jama.pdf) 24 <https://doi.org/10.1001/jamanetworkopen.2022.11958> 25 26 [Caddigan, E. (2018). Reconstructing simulator control inputs: A machine 27 learning approach. _Proceedings of the Human Factors and Ergonomics Society 28 Annual Meeting, 62_(1), 54-56.](2018hfam.pdf) 29 <https://doi.org/10.1177/1541931218621012> 30 31 [Caddigan, E., Choo, H., Fei-Fei, L., & Beck, D. M. (2017). Categorization 32 influences detection: A Perceptual Advantage for Representative Exemplars of 33 Natural Scene Categories. _Journal of Vision, 17_(1), 21.](2017jov.pdf) 34 <https://doi.org/10.1167/17.1.21> 35 36 [Ahlstrom, U., Ohneiser, O., & Caddigan, E. (2016). Portable weather 37 applications for general aviation pilots. _Human Factors, 58_(6), 38 864-885.](2016hf.pdf) 39 <https://doi.org/10.1177/0018720816641783> 40 41 [Tseng, Y. C., Glaser, J. I., Caddigan, E., & Lleras, A. (2014). Modeling 42 the effect of selection history on pop-out visual search. _PLOS ONE, 9_(3), 43 e89996.](2014plos1.pdf) 44 <https://doi.org/10.1371/journal.pone.0089996> 45 46 [Torralbo, A., Walther, D. B., Chai, B., Caddigan, E., Fei-Fei, L., & Beck, 47 D. M.. (2013). Good exemplars of natural scene categories elicit clearer 48 patterns than bad exemplars but not greater BOLD activity. _PLOS ONE, 8_(3), 49 e58594.](2013plos1.pdf) 50 <https://doi.org/10.1371/journal.pone.0058594> 51 52 [Walther, D. B., Chai, B., Caddigan, E., Beck, D. M., & Fei-Fei, L. (2011). 53 Simple line drawings suffice for fMRI decoding of natural scene categories. 54 _Proceedings of the National Academy of Sciences, 108_(23), 55 9661-9666.](2011pnas.pdf) 56 <https://doi.org/10.1073/pnas.1015666108> 57 58 [Caddigan, E., & Lleras, A. (2010). Saccadic repulsion in pop-out search: 59 How a target's dodgy history can push the eyes away from it. _Journal of 60 Vision, 10_(14), 9.](2010jov.pdf) 61 <https://doi.org/10.1167/10.14.9> 62 63 [Caddigan, E., Walther, D. B., Fei-Fei, L., & Beck, D. M. (2010). Perceptual 64 differences between natural scene categories. Object Perception, Attention, 65 and Memory (OPAM) 2010 Conference Report 18th Annual Meeting, St. Louis, 66 Missouri, MO, USA. _Visual Cognition, 18_(10), 1498-1502.](2010viscog.pdf) 67 <https://doi.org/10.1080/13506285.2010.521658> 68 69 [Walther, D. B., Caddigan, E., Fei-Fei, L., & Beck, D. M. (2009). Natural 70 scene categories revealed in distributed patterns of activity in the human 71 brain. _Journal of Neuroscience, 29_(34), 10573-10581.](2009jon.pdf) 72 <https://doi.org/10.1523/JNEUROSCI.0559-09.2009> 73 74 [Simons, D. J., Lleras, A., Martinez-Conde, S., Slichter, D., Caddigan, E., 75 & Nevarez, G. (2006). Induced visual fading of complex images. _Journal of 76 Vision, 6_(10), 1093-1101.](2006jov.pdf) 77 <https://doi.org/10.1167/6.10.9>