Williams, L.H., & Drew, T. (2019). What do we know about volumetric medical image interpretation?: A review of the basic science and medical image perception literatures. Cognitive Research: Principles and Implications. 4(1), 21, doi: 10.1186/s41235-019-0171-6.

Links: PDF



Rubin, G., Drew, T., Williams, L.H. (2018). Perception of volumetric data. In Samei, E., & Krupinski, E. (Eds.). (2018). The Handbook of Medical Image Perception and Techniques (pp. 307-327). Cambridge: Cambridge University Press. doi:10.1017/9781108163781

Links: Amazon

Drew, T., Williams, L.H., Jones, C., Luria, R. (2018). Neural processing of repeated search targets depends upon stimuli: Real world stimuli engage semantic processing and recognition memory.

Links: PDF, Pre-registered follow-up study

Williams, L.H., Drew, T. (2018). Working memory capacity predicts search accuracy for novel as well as repeated targets. Visual Cognition. 26(6), 463-474, doi: 10.1080/13506285.2018.1490370.

Links: PDF

Drew, T., Williams, L.H., Aldred, B., Heilbrun, M.E., Minoshima, S. (2018). Quantifying the costs of interruption during diagnostic radiology interpretation using mobile eye-tracking glasses. Journal of Medical Imaging. 5(3), 031406, doi: 10.1117/1.JMI.5.3.031406. 

Links: PDF


Drew, T., Williams, L.H. (2017). Simple online feedback during visual search is not helpful. Cognitive Research: Principles and Implications. 2(1), 44, doi: 10.1186/s41235-017-0082-3.

Links: PDF

Williams, L.H., Drew, T. (2017). Distraction in diagnostic radiology: How is search through volumetric images affected by interruptions? Cognitive Research: Principles and Implications, 2(1), 12, doi: 10.1186/s41235-017-0050-y.

Links: PDF, Open Science Framework: Data and Analysis Script, Pre-registered follow-up study

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