Lyu, W., Trueblood, J. S., & Wolfe, J. M. (2025). Effects of prevalence and feedback in the identification of blast cells in peripheral blood: expert and novice observers. Cognitive Research: Principles and Implications, 10(1), 30. https://doi.org/10.1186/s41235-025-00632-7

Hasan, E., Duhaime, E. P., & Trueblood, J. S. (2024). Boosting Wisdom of the Crowd for Medical Image Annotation Using Training Performance and Task Features. Cognitive Research: Principles and Implications, 9, 1-21. https://doi.org/10.1186/s41235-024-00558-6

Hasan, E., Eichbaum, Q., Seegmiller, A. C., Stratton, C., & Trueblood, J. S. (2024). Harnessing the Wisdom of the Confident Crowd in Medical Image Decision-making. Decision, 11(1), 127-149. https://doi.org/10.1037/dec0000210

Hasan E., Eichbaum, Q., Seegmiller, A. C., Stratton, C.,  & Trueblood, J. S. (2022). Improving Medical Image Decision Making by Leveraging Metacognitive Processes and Representational Similarity. Topics in Cognitive Science, 14(2), 400-413.

Trevino, M., Horowitz, T. S., Seltzer, S. E., Wolfe, J. M., Birdsong, G., Carrigan, A., Choyke, P., Drew, T., Eckstein, M., Fernandez, A., Gallas, B. D., Giger, M., Hewitt, S. M., Jiang, Y. V., Kudrick, B., Martinez-Conde, S., Mitroff, S., Nebeling, L., Saltz, J., Samuelson, F., Shabestari, B., Shankar, L., Siegel, E., Tilkin, M., Trueblood, J. S., Van Dyke, A. L., Venkatesan, A., & Whitney, D. (2022). Advancing research on medical image perception by strengthening multidisciplinary collaboration. JNCI Cancer Spectrum, 6 (1), pkab099.

Hasan E., Trueblood, J. S., Eichbaum, Q., Seegmiller, A. C., & Stratton, C. (2021). Improving Medical Image Decision Making by Leveraging Metacognitive Processes and Representational Similarity. In T. Fitch, C. Lamm, H. Leder, & K. Tessmar-Raible (Eds.), Proceedings of the 43rd Annual Conference of the Cognitive Science Society. (230-236). Austin, TX: Cognitive Science Society. (link)

— Awarded a Computational Modeling Prize for Applied Cognition from the Cognitive Science Society

Trueblood, J. S., Eichbaum, Q., Seegmiller, A. C., Stratton, C., O’Daniels, P., Holmes, W. R. (2021). Disentangling Prevalence induced Biases in Medical Image Decision-making. Cognition, 212, 104713. https://doi.org/10.1016/j.cognition.2021.104713

Holmes, W. R., O’Daniels, P., & Trueblood, J. S. (2020). A joint deep neural network and evidence accumulation modeling approach to human decision-making with naturalistic images. Computational Brain & Behavior, 3(1), 1-12. https://doi.org/10.1007/s42113-019-00042-1

Trueblood, J. S., Holmes, W. R., Seegmiller, A. C., Douds, J., Compton, M., Szentirmai, E., Woodruff, M., Huang, W., Stratton, C., Eichbaum, Q. (2018). The Impact of Speed and Bias on the Cognitive Processes of Experts and Novices in Medical Image Decision-making. Cognitive Research: Principles & Implications, 3(28), 1-14.