Abrams, R. A., & Christ, S. E. (2003). Motion onset captures attention. Psychological Science, 14(5), 427–432.
Article
PubMed
Google Scholar
Adamo, S. H., Ericson, J. M., Nah, J. C., Brem, R., & Mitroff, S. R. (2018). Mammography to tomosynthesis: examining the differences between two-dimensional and segmented-three-dimensional visual search. Cognitive Research: Principles and Implications, 3(1), 17.
Google Scholar
Aizenman, A., Drew, T., Ehinger, K. A., Georgian-Smith, D., & Wolfe, J. M. (2017). Comparing search patterns in digital breast tomosynthesis and full-field digital mammography: an eye tracking study. Journal of Medical Imaging, 4(4), 045501.
PubMed
PubMed Central
Google Scholar
Alakhras, M. M., Brennan, P. C., Rickard, M., Bourne, R., & Mello-Thoms, C. (2015). Effect of radiologists’ experience on breast cancer detection and localization using digital breast tomosynthesis. European Radiology, 25(2), 402–409.
Article
PubMed
Google Scholar
Andersson, I., Ikeda, D. M., Zackrisson, S., Ruschin, M., Svahn, T., Timberg, P., & Tingberg, A. (2008). Breast tomosynthesis and digital mammography: a comparison of breast cancer visibility and BIRADS classification in a population of cancers with subtle mammographic findings. European Radiology, 18(12), 2817–2825.
Article
PubMed
Google Scholar
Andia, M. E., Plett, J., Tejos, C., Guarini, M. W., Navarro, M. E., Razmilic, D., … Irarrazaval, P. (2009). Enhancement of visual perception with use of dynamic cues. Radiology, 250(2), 551–557.
Article
PubMed
Google Scholar
Andrews, T. J., & Coppola, D. M. (1999). Idiosyncratic characteristics of saccadic eye movements when viewing different visual environments. Vision Research, 39(17), 2947–2953.
Article
PubMed
Google Scholar
Andriole, K. P., Wolfe, J. M., Khorasani, R., Treves, S. T., Getty, D. J., Jacobson, F. L., … Seltzer, S. E. (2011). Optimizing analysis, visualization, and navigation of large image data sets: one 5000-section CT scan can ruin your whole day. Radiology, 259(2), 346–362.
Article
PubMed
Google Scholar
Annac, E., Manginelli, A. A., Pollmann, S., Shi, Z., Müller, H. J., & Geyer, T. (2013). Memory under pressure: secondary-task effects on contextual cueing of visual search. Journal of Vision, 13(13), 6–6.
Article
PubMed
Google Scholar
Ballard, D. H., Hayhoe, M. M., & Pelz, J. B. (1995). Memory representations in natural tasks. Journal of Cognitive Neuroscience, 7(1), 66–80.
Article
PubMed
Google Scholar
Bays, P. M., & Husain, M. (2012). Active inhibition and memory promote exploration and search of natural scenes. Journal of Vision, 12(8), 8–8.
Article
PubMed
PubMed Central
Google Scholar
Beck, M. R., Martin, B. A., Smitherman, E., & Gaschen, L. (2013). Eyes-on training and radiological expertise: an examination of expertise development and its effects on visual working memory. Human Factors, 55(4), 747–763.
Article
PubMed
Google Scholar
Berbaum, K., Franken Jr., E. A., Caldwell, R. T., & Schartz, K. M. (2006). Can a checklist reduce SOS errors in chest radiography? Academic Radiology, 13(3), 296–304.
Article
PubMed
Google Scholar
Berbaum, K. S., Franken, J. E., Dorfman, D. D., Rooholamini, S. A., Coffman, C. E., Cornell, S. H., … Kao, S. C. (1991). Time course of satisfaction of search. Investigative Radiology, 26(7), 640–648.
Article
PubMed
Google Scholar
Berbaum, K. S., Franken, J. E., Dorfman, D. D., Rooholamini, S. A., Kathol, M. H., Barloon, T. J., … el-Khoury, G. Y. (1990). Satisfaction of search in diagnostic radiology. Investigative Radiology, 25(2), 133–140.
Article
PubMed
Google Scholar
Bertram, R., Helle, L., Kaakinen, J. K., & Svedström, E. (2013). The effect of expertise on eye movement behaviour in medical image perception. PLoS One, 8(6), e66169.
Article
PubMed
PubMed Central
Google Scholar
Bertram, R., Kaakinen, J., Bensch, F., Helle, L., Lantto, E., Niemi, P., & Lundbom, N. (2016). Eye movements of radiologists reflect expertise in CT study interpretation: a potential tool to measure resident development. Radiology, 281(3), 805–815.
Article
PubMed
Google Scholar
Bink, A., Benner, J., Reinhardt, J., Vere-Tyndall, D., Stieltjes, B., Hainc, N., & Stippich, C. (2018). Structured reporting in neuroradiology: intracranial tumors. Frontiers in Neurology, 9, 32.
Article
PubMed
PubMed Central
Google Scholar
Blanchon, T., Bréchot, J. M., Grenier, P. A., Ferretti, G. R., Lemarié, E., Milleron, B., … Blanchon, F. (2007). Baseline results of the Depiscan study: a French randomized pilot trial of lung cancer screening comparing low dose CT scan (LDCT) and chest X-ray (CXR). Lung Cancer, 58(1), 50–58.
Article
PubMed
Google Scholar
Brockmole, J. R., & Henderson, J. M. (2005). Object appearance, disappearance, and attention prioritization in real-world scenes. Psychonomic Bulletin & Review, 12(6), 1061–1067.
Article
Google Scholar
Brunyé, T. T., Eddy, M. D., Mercan, E., Allison, K. H., Weaver, D. L., & Elmore, J. G. (2016). Pupil diameter changes reflect difficulty and diagnostic accuracy during medical image interpretation. BMC Medical Informatics and Decision Making, 16(1), 77.
Article
PubMed
PubMed Central
Google Scholar
Cain, M. S., Adamo, S. H., & Mitroff, S. R. (2013). A taxonomy of errors in multiple-target visual search. Visual Cognition, 21(7), 899–921.
Article
Google Scholar
Cain, M. S., & Mitroff, S. R. (2013). Memory for found targets interferes with subsequent performance in multiple-target visual search. Journal of Experimental Psychology: Human Perception and Performance, 39(5), 1398–1408.
PubMed
Google Scholar
Cain, M. S., Vul, E., Clark, K., & Mitroff, S. R. (2012). A Bayesian optimal foraging model of human visual search. Psychological Science, 23(9), 1047–1054.
Article
PubMed
Google Scholar
Carmody, D. P., Nodine, C. F., & Kundel, H. L. (1981). Finding lung nodules with and without comparative visual scanning. Perception & Psychophysics, 29 (6), 594–598.
Article
Google Scholar
Carrigan, A. J., Wardle, S. G., & Rich, A. N. (2018). Finding cancer in mammograms: if you know it’s there, do you know where? Cognitive Research: Principles and Implications, 3(1), 10.
Google Scholar
Castelhano, M. S., & Henderson, J. M. (2007). Initial scene representations facilitate eye movement guidance in visual search. Journal of Experimental Psychology, 33(4), 753–763.
PubMed
Google Scholar
Charnov, E. L. (1976). Optimal foraging, the marginal value theorem. Theoretical Population Biology, 9(2), 129.
Article
PubMed
Google Scholar
Chen, W., HolcDorf, D., McCusker, M. W., Gaillard, F., & Howe, P. D. (2017). Perceptual training to improve hip fracture identification in conventional radiographs. PLoS One, 12(12), e0189192.
Article
PubMed
PubMed Central
Google Scholar
Chen, X., & Zelinsky, G. J. (2006). Real-world visual search is dominated by top-down guidance. Vision Research, 46(24), 4118–4133.
Article
PubMed
Google Scholar
Christensen, E. E., Murry, R. C., Holland, K., Reynolds, J., Landay, M. J., & Moore, J. G. (1981). The effect of search time on perception. Radiology, 138(2), 361–365.
Article
PubMed
Google Scholar
Chun, M. M., & Jiang, Y. (1998). Contextual cueing: implicit learning and memory of visual context guides spatial attention. Cognitive Psychology, 36(1), 28–71.
Article
PubMed
Google Scholar
Chun, M. M., & Jiang, Y. (1999). Top-down attentional guidance based on implicit learning of visual covariation. Psychological Science, 10(4), 360–365.
Article
Google Scholar
Ciatto, S., Houssami, N., Bernardi, D., Caumo, F., Pellegrini, M., Brunelli, S., … Montemezzi, S. (2013). Integration of 3D digital mammography with tomosynthesis for population breast-cancer screening (STORM): a prospective comparison study. The Lancet Oncology, 14(7), 583–589.
Article
PubMed
Google Scholar
Clarke, A. D., Mahon, A., Irvine, A., & Hunt, A. R. (2017). People are unable to recognize or report on their own eye movements. The Quarterly Journal of Experimental Psychology, 70(11), 2251–2270.
Article
PubMed
Google Scholar
Cooper, L., Gale, A., Darker, I., Toms, A., & Saada, J. (2009). Radiology image perception and observer performance: How does expertise and clinical information alter interpretation? Stroke detection explored through eye-tracking. Proceedings of SPIE 7263, Medical Imaging 2009: Image Perception, Observer Performance, and Technology Assessment, 72630K. https://doi.org/10.1117/12.811098.
Cooper, L., Gale, A., Saada, J., Gedela, S., Scott, H., & Toms, A. (2010). The assessment of stroke multidimensional CT and MR imaging using eye movement analysis: Does modality preference enhance observer performance? Proceedings of SPIE 7627, Medical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment, 76270B, https://doi.org/10.1117/12.843680.
Corbett, J. E., & Munneke, J. (2018). “It’s not a tumor”: a framework for capitalizing on individual diversity to boost target detection. Psychological Science, 29(10), 1692–1705.
Article
PubMed
Google Scholar
Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24 (1), 87–114.
Article
PubMed
Google Scholar
Crowe, E. M., Gilchrist, I. D., & Kent, C. (2018). New approaches to the analysis of eye movement behaviour across expertise while viewing brain MRIs. Cognitive Research: Principles and Implications, 3, 1–14.
Google Scholar
Diaz, I., Schmidt, S., Verdun, F. R., & Bochud, F. O. (2015). Eye-tracking of nodule detection in lung CT volumetric data. Medical Physics, 42(6), 2925–2932.
Article
PubMed
Google Scholar
Dickinson, C. A., & Zelinsky, G. J. (2007). Memory for the search path: evidence for a high-capacity representation of search history. Vision Research, 47(13), 1745–1755.
Article
PubMed
PubMed Central
Google Scholar
Donovan, T., & Litchfield, D. (2013). Looking for cancer: expertise related differences in searching and decision making. Applied Cognitive Psychology, 27(1), 43–49.
Article
Google Scholar
Drew, T., Boettcher, S. E. P., Wolfe, J. M. (2017). One visual search, many memory searches: An eye-tracking investigation of hybrid search. Journal of Vision, 17(11), 5.
Article
PubMed
PubMed Central
Google Scholar
Drew, T., Evans, K., Võ, M. L. H., Jacobson, F. L., & Wolfe, J. M. (2013). Informatics in radiology: what can you see in a single glance and how might this guide visual search in medical images? Radiographics, 33(1), 263–274.
Article
PubMed
PubMed Central
Google Scholar
Drew, T., Võ, M. L. H., Olwal, A., Jacobson, F., Seltzer, S. E., & Wolfe, J. M. (2013). Scanners and drillers: characterizing expert visual search through volumetric images. Journal of Vision, 13(10), 3.
Article
PubMed
PubMed Central
Google Scholar
Drew, T., Võ, M. L. H., & Wolfe, J. M. (2013). The invisible gorilla strikes again: sustained inattentional blindness in expert observers. Psychological Science, 24(9), 1848–1853.
Article
PubMed
Google Scholar
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.
Article
PubMed
PubMed Central
Google Scholar
Droll, J. A., & Hayhoe, M. M. (2007). Trade-offs between gaze and working memory use. Journal of Experimental Psychology, 33(6), 1352–1365.
PubMed
Google Scholar
Ebner, L., Tall, M., Choudhury, K. R., Ly, D. L., Roos, J. E., Napel, S., & Rubin, G. D. (2017). Variations in the functional visual field for detection of lung nodules on chest computed tomography: impact of nodule size, distance, and local lung complexity. Medical Physics, 44(7), 3483–3490.
Article
PubMed
Google Scholar
Ericson, J. M., Kravitz, D. J., & Mitroff, S. R. (2017). Visual search: you are who you are (+ a learning curve). Perception, 46(12), 1434–1441.
Article
PubMed
Google Scholar
Evans, K. K., Birdwell, R. L., & Wolfe, J. M. (2013). If you don’t find it often, you often don’t find it: why some cancers are missed in breast cancer screening. PLoS One, 8(5), e64366.
Article
PubMed
PubMed Central
Google Scholar
Evans, K. K., Cohen, M. A., Tambouret, R., Horowitz, T., Kreindel, E., & Wolfe, J. M. (2011). Does visual expertise improve visual recognition memory? Attention, Perception, & Psychophysics, 73(1), 30–35.
Article
Google Scholar
Evans, K. K., Georgian-Smith, D., Tambouret, R., Birdwell, R. L., & Wolfe, J. M. (2013). The gist of the abnormal: above-chance medical decision making in the blink of an eye. Psychonomic Bulletin & Review, 20(6), 1170–1175.
Article
Google Scholar
Findlay, J. M., & Brown, V. (2006). Eye scanning of multi-element displays: I. Scanpath planning. Vision Research, 46(1–2), 179–195.
Article
PubMed
Google Scholar
Foulsham, T., & Kingstone, A. (2013a). Where have eye been? Observers can recognise their own fixations. Perception, 42(10), 1085–1089.
Article
PubMed
Google Scholar
Foulsham, T., & Kingstone, A. (2013b). Fixation-dependent memory for natural scenes: an experimental test of scanpath theory. Journal of Experimental Psychology: General, 142(1), 41–56.
Article
Google Scholar
Gegenfurtner, A., Lehtinen, E., Jarodzka, H., & Säljö, R. (2017). Effects of eye movement modeling examples on adaptive expertise in medical image diagnosis. Computers & Education, 113, 212–225.
Article
Google Scholar
Gegenfurtner, A., Lehtinen, E., & Säljö, R. (2011). Expertise differences in the comprehension of visualizations: a meta-analysis of eye-tracking research in professional domains. Educational Psychology Review, 23(4), 523–552.
Article
Google Scholar
Gegenfurtner, A., & Seppänen, M. (2013). Transfer of expertise: an eye tracking and think aloud study using dynamic medical visualizations. Computers & Education, 63, 393–403.
Article
Google Scholar
Gennaro, G., Toledano, A., Di Maggio, C., Baldan, E., Bezzon, E., La Grassa, M., … Muzzio, P. C. (2010). Digital breast tomosynthesis versus digital mammography: a clinical performance study. European Radiology, 20(7), 1545–1553.
Article
PubMed
Google Scholar
Geyer, T., Von Mühlenen, A., & Müller, H. J. (2007). What do eye movements reveal about the role of memory in visual search? Quarterly Journal of Experimental Psychology, 60(7), 924–935.
Article
Google Scholar
Gilchrist, I. D., & Harvey, M. (2006). Evidence for a systematic component within scan paths in visual search. Visual Cognition, 14(4–8), 704–715.
Article
Google Scholar
Gilchrist, I. D., North, A., & Hood, B. (2001). Is visual search really like foraging? Perception, 30(12), 1459–1464.
Article
PubMed
Google Scholar
Girelli, M., & Luck, S. J. (1997). Are the same attentional mechanisms used to detect visual search targets defined by color, orientation, and motion? Journal of Cognitive Neuroscience, 9(2), 238–253.
Article
PubMed
Google Scholar
Godwin, H. J., Benson, V., & Drieghe, D. (2013). Using interrupted visual displays to explore the capacity, time course, and format of fixation plans during visual search. Journal of Experimental Psychology: Human Perception and Performance, 39(6), 1700–1712.
PubMed
Google Scholar
Gur, D., Abrams, G. S., Chough, D. M., Ganott, M. A., Hakim, C. M., Perrin, R. L., … Bandos, A. I. (2009). Digital breast tomosynthesis: observer performance study. American Journal of Roentgenology, 193(2), 586–591.
Article
PubMed
Google Scholar
Hansen, K., Nielsen, M., & Ewertsen, C. (2016). Ultrasonography of the kidney: a pictorial review. Diagnostics, 6(1), 2.
Article
Google Scholar
Hayes, T. R., & Henderson, J. M. (2017). Scan patterns during real-world scene viewing predict individual differences in cognitive capacity. Journal of Vision, 17(5), 23–23.
Article
PubMed
Google Scholar
Hayhoe, M. M., Shrivastava, A., Mruczek, R., & Pelz, J. B. (2003). Visual memory and motor planning in a natural task. Journal of Vision, 3(1), 6–6.
Article
Google Scholar
Helbren, E., Fanshawe, T. R., Phillips, P., Mallett, S., Boone, D., Gale, A., … Halligan, S. (2015). The effect of computer-aided detection markers on visual search and reader performance during concurrent reading of CT colonography. European Radiology, 25(6), 1570–1578.
Article
PubMed
Google Scholar
Helbren, E., Halligan, S., Phillips, P., Boone, D., Fanshawe, T. R., Taylor, S. A., … Mallett, S. (2014). Towards a framework for analysis of eye-tracking studies in the three dimensional environment: a study of visual search by experienced readers of endoluminal CT colonography. The British Journal of Radiology, 87(1037), 20130614.
Article
PubMed
PubMed Central
Google Scholar
Henderson, J. M., & Luke, S. G. (2014). Stable individual differences in saccadic eye movements during reading, pseudoreading, scene viewing, and scene search. Journal of Experimental Psychology: Human Perception and Performance, 40(4), 1390.
PubMed
Google Scholar
Hogeboom, M., & van Leeuwen, C. (1997). Visual search strategy and perceptual organization covary with individual preference and structural complexity. Acta Psychologica, 95(2), 141–164.
Article
PubMed
Google Scholar
Horowitz, T. S., & Wolfe, J. M. (1998). Visual search has no memory. Nature, 394(6693), 575.
Article
PubMed
Google Scholar
Hout, M. C., & Goldinger, S. D. (2015). Target templates: the precision of mental representations affects attentional guidance and decision-making in visual search. Attention, Perception, & Psychophysics, 77(1), 128–149.
Article
Google Scholar
Humphrey, K., & Underwood, G. (2009). Domain knowledge moderates the influence of visual saliency in scene recognition. British Journal of Psychology, 100(2), 377–398.
Article
PubMed
Google Scholar
Jiang, Y. V., Won, B. Y., Swallow, K. M., & Mussack, D. M. (2014). Spatial reference frame of attention in a large outdoor environment. Journal of Experimental Psychology: Human Perception and Performance, 40(4), 1346–1357.
PubMed
Google Scholar
Jonides, J., & Yantis, S. (1988). Uniqueness of abrupt visual onset in capturing attention. Perception & Psychophysics, 43(4), 346–354.
Article
Google Scholar
Kahn Jr., C. E., Heilbrun, M. E., & Applegate, K. E. (2013). From guidelines to practice: how reporting templates promote the use of radiology practice guidelines. Journal of the American College of Radiology, 10(4), 268–273.
Article
PubMed
PubMed Central
Google Scholar
Kelahan, L. C., Fong, A., Blumenthal, J., Kandaswamy, S., Ratwani, R. M., & Filice, R. W. (2019). The Radiologist’s gaze: Mapping three-dimensional visual search in computed tomography of the abdomen and pelvis. Journal of Digital Imaging, 32(2), 234–240.
Kelly, B., Rainford, L. A., McEntee, M. F., & Kavanagh, E. C. (2017). Influence of radiology expertise on the perception of nonmedical images. Journal of Medical Imaging, 5(3), 031402.
Article
PubMed
PubMed Central
Google Scholar
Kelly, B. S., Rainford, L. A., Darcy, S. P., Kavanagh, E. C., & Toomey, R. J. (2016). The development of expertise in radiology: In chest radiograph interpretation, “expert” search pattern may predate “expert” levels of diagnostic accuracy for pneumothorax identification. Radiology, 280(1), 252–260.
Article
PubMed
Google Scholar
Kit, D., Katz, L., Sullivan, B., Snyder, K., Ballard, D., & Hayhoe, M. (2014). Eye movements, visual search and scene memory, in an immersive virtual environment. PLoS One, 9(4), e94362.
Article
PubMed
PubMed Central
Google Scholar
Klein, R. M., & MacInnes, W. J. (1999). Inhibition of return is a foraging facilitator in visual search. Psychological Science, 10(4), 346–352.
Article
Google Scholar
Koehler, K., & Eckstein, M. P. (2017). Beyond scene gist: objects guide search more than scene background. Journal of Experimental Psychology: Human Perception and Performance, 43(6), 1177–1193.
PubMed
Google Scholar
Koide, N., Kubo, T., Nishida, S., Shibata, T., & Ikeda, K. (2015). Art expertise reduces influence of visual salience on fixation in viewing abstract-paintings. PLoS One, 10(2), e0117696.
Article
PubMed
PubMed Central
Google Scholar
Kok, E. M., Abed, A., & Robben, S. G. (2017). Does the use of a checklist help medical students in the detection of abnormalities on a chest radiograph? Journal of Digital Imaging, 30(6), 726–731.
Article
PubMed
PubMed Central
Google Scholar
Kok, E. M., De Bruin, A. B., Robben, S. G., & van Merriënboer, J. J. (2012). Looking in the same manner but seeing it differently: bottom-up and expertise effects in radiology. Applied Cognitive Psychology, 26(6), 854–862.
Article
Google Scholar
Kok, E. M., Jarodzka, H., de Bruin, A. B., BinAmir, H. A., Robben, S. G., & van Merriënboer, J. J. (2016). Systematic viewing in radiology: seeing more, missing less? Advances in Health Sciences Education, 21(1), 189–205.
Article
PubMed
Google Scholar
Kramer, A. F., Martin-Emerson, R., Larish, J. F., & Andersen, G. J. (1996). Aging and filtering by movement in visual search. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 51(4), P201–P216.
Article
Google Scholar
Kristjánsson, A. (2000). In search of remembrance: evidence for memory in visual search. Psychological Science, 11(4), 328–332.
Article
PubMed
Google Scholar
Krupinski, E. A. (2005). Visual search of mammographic images: influence of lesion subtlety. Academic Radiology, 12(8), 965–969.
Article
PubMed
Google Scholar
Krupinski, E. A., Berbaum, K. S., Caldwell, R. T., Schartz, K. M., Madsen, M. T., & Kramer, D. J. (2012). Do long radiology workdays affect nodule detection in dynamic CT interpretation? Journal of the American College of Radiology, 9(3), 191–198.
Article
PubMed
PubMed Central
Google Scholar
Krupinski, E. A., Berger, W. G., Dallas, W. J., & Roehrig, H. (2003). Searching for nodules: what features attract attention and influence detection? Academic Radiology, 10(8), 861–868.
Article
PubMed
Google Scholar
Krupinski, E. A., Graham, A. R., & Weinstein, R. S. (2013). Characterizing the development of visual search expertise in pathology residents viewing whole slide images. Human Pathology, 44(3), 357–364.
Article
PubMed
Google Scholar
Krupinski, E. A., Tillack, A. A., Richter, L., Henderson, J. T., Bhattacharyya, A. K., Scott, K. M., … Weinstein, R. S. (2006). Eye-movement study and human performance using telepathology virtual slides. Implications for medical education and differences with experience. Human Pathology, 37(12), 1543–1556.
Article
PubMed
Google Scholar
Kundel, H. L., & La Follette Jr., P. S. (1972). Visual search patterns and experience with radiological images. Radiology, 103(3), 523–528.
Article
PubMed
Google Scholar
Kundel, H. L., & Nodine, C. F. (1975). Interpreting chest radiographs without visual search. Radiology, 116(3), 527–532.
Article
PubMed
Google Scholar
Kundel, H. L., Nodine, C. F., & Carmody, D. (1978). Visual scanning, pattern recognition and decision-making in pulmonary nodule detection. Investigative Radiology, 13(3), 175–181.
Article
PubMed
Google Scholar
Kundel, H. L., Nodine, C. F., Conant, E. F., & Weinstein, S. P. (2007). Holistic component of image perception in mammogram interpretation: gaze-tracking study. Radiology, 242(2), 396–402.
Article
PubMed
Google Scholar
Kundel, H. L., Nodine, C. F., & Krupinski, E. A. (1989). Searching for lung nodules. Visual dwell indicates locations of false-positive and false-negative decisions. Investigative Radiology, 24(6), 472–478.
Article
PubMed
Google Scholar
Kundel, H. L., Nodine, C. F., Krupinski, E. A., & Mello-Thoms, C. (2008). Using gaze-tracking data and mixture distribution analysis to support a holistic model for the detection of cancers on mammograms. Academic Radiology, 15(7), 881–886.
Article
PubMed
Google Scholar
Kundel, H. L., Nodine, C. F., Thickman, D., & Toto, L. (1987). Searching for lung nodules. A comparison of human performance with random and systematic scanning models. Investigative Radiology, 22(5), 417–422.
Article
PubMed
Google Scholar
Lago, M. A., Abbey, C. K., Barufaldi, B., Bakic, P. R., Weinstein, S. P., Maidment, A. D., & Eckstein, M. P. (2018). Interactions of lesion detectability and size across single-slice DBT and 3D DBT. Proceedings of SPIE 10577, Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, 105770X, https://doi.org/10.1117/12.2293873.
Lansdale, M., Underwood, G., & Davies, C. (2010). Something overlooked? How experts in change detection use visual saliency. Applied Cognitive Psychology, 24(2), 213–225.
Article
Google Scholar
Leone, M. J., Fernandez Slezak, D., Cecchi, G. A., & Sigman, M. (2014). The geometry of expertise. Frontiers in Psychology, 5(47), 1–9.
Google Scholar
Leong, D. L., Rainford, L., Haygood, T. M., Whitman, G. J., Geiser, W. R., Stephens, T. W., … Brennan, P. C. (2014). Radiologist experience effects on contrast detection. JOSA A, 31(11), 2328–2333.
Article
PubMed
Google Scholar
Li, C. L., Aivar, M. P., Kit, D. M., Tong, M. H., & Hayhoe, M. M. (2016). Memory and visual search in naturalistic 2D and 3D environments. Journal of Vision, 16(8), 9–9.
Article
PubMed
PubMed Central
Google Scholar
Lin, E., Powell, D. K., & Kagetsu, N. J. (2014). Efficacy of a checklist-style structured radiology reporting template in reducing resident misses on cervical spine computed tomography examinations. Journal of Digital Imaging, 27(5), 588–593.
Article
PubMed
PubMed Central
Google Scholar
Litchfield, D., Ball, L. J., Donovan, T., Manning, D. J., & Crawford, T. (2010). Viewing another person's eye movements improves identification of pulmonary nodules in chest x-ray inspection. Journal of Experimental Psychology: Applied, 16(3), 251–262.
PubMed
Google Scholar
Litchfield, D., & Donovan, T. (2016). Worth a quick look? Initial scene previews can guide eye movements as a function of domain-specific expertise but can also have unforeseen costs. Journal of Experimental Psychology: Human Perception and Performance, 42(7), 982.
PubMed
Google Scholar
Makovski, T., & Jiang, Y. V. (2010). Contextual cost: when a visual-search target is not where it should be. Quarterly Journal of Experimental Psychology, 63(2), 216–225.
Article
Google Scholar
Mallett, S., Phillips, P., Fanshawe, T. R., Helbren, E., Boone, D., Gale, A., … Halligan, S. (2014). Tracking eye gaze during interpretation of endoluminal three-dimensional CT colonography: visual perception of experienced and inexperienced readers. Radiology, 273(3), 783–792.
Article
PubMed
Google Scholar
Manginelli, A. A., Langer, N., Klose, D., & Pollmann, S. (2013). Contextual cueing under working memory load: selective interference of visuospatial load with expression of learning. Attention, Perception, & Psychophysics, 75(6), 1103–1117.
Article
Google Scholar
Manning, D., Barker-Mill, S. C., Donovan, T., & Crawford, T. (2006). Time-dependent observer errors in pulmonary nodule detection. The British Journal of Radiology, 79(940), 342–346.
Article
PubMed
Google Scholar
Manning, D., Ethell, S., Donovan, T., & Crawford, T. (2006). How do radiologists do it? The influence of experience and training on searching for chest nodules. Radiography, 12(2), 134–142.
Article
Google Scholar
Manning, D., Ethell, S. C., & Crawford, T. (2003). Eye-tracking AFROC study of the influence of experience and training on chest X-ray interpretation. Proceedings of SPIE 5034, Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment, 5034X, https://doi.org/10.1117/12.479985.
Manning, D. J., Ethell, S. C., & Donovan, T. (2004). Detection or decision errors? Missed lung cancer from the posteroanterior chest radiograph. The British Journal of Radiology, 77(915), 231–235.
Article
PubMed
Google Scholar
Marcal, L. P., Fox, P. S., Evans, D. B., Fleming, J. B., Varadhachary, G. R., Katz, M. H., & Tamm, E. P. (2015). Analysis of free-form radiology dictations for completeness and clarity for pancreatic cancer staging. Abdominal Imaging, 40(7), 2391–2397.
Article
PubMed
Google Scholar
Marcovici, P. A., & Taylor, G. A. (2014). Journal Club: structured radiology reports are more complete and more effective than unstructured reports. American Journal of Roentgenology, 203(6), 1265–1271.
Article
PubMed
Google Scholar
Marr, D. (1982). Vision: a computational investigation into the human representation and processing of visual information. Cambridge: MIT Press.
Google Scholar
Mathie, A. G., & Strickland, N. H. (1997). Interpretation of CT scans with PACS image display in stack mode. Radiology, 203(1), 207–209.
Article
PubMed
Google Scholar
Matsukura, M., Brockmole, J. R., Boot, W. R., & Henderson, J. M. (2011). Oculomotor capture during real-world scene viewing depends on cognitive load. Vision Research, 51(6), 546–552.
Article
PubMed
Google Scholar
Matsumoto, H., Terao, Y., Yugeta, A., Fukuda, H., Emoto, M., Furubayashi, T., … Ugawa, Y. (2011). Where do neurologists look when viewing brain CT images? An eye-tracking study involving stroke cases. PLoS One, 6(12), e28928.
Article
PubMed
PubMed Central
Google Scholar
McCarley, J. S., Wang, R. F., Kramer, A. F., Irwin, D. E., & Peterson, M. S. (2003). How much memory does oculomotor search have? Psychological Science, 14(5), 422–426.
Article
PubMed
Google Scholar
McDonald, R. J., Schwartz, K. M., Eckel, L. J., Diehn, F. E., Hunt, C. H., Bartholmai, B. J., … Kallmes, D. F. (2015). The effects of changes in utilization and technological advancements of cross-sectional imaging on radiologist workload. Academic Radiology, 22(9), 1191–1198.
Article
PubMed
Google Scholar
McLaughlin, L., Bond, R., Hughes, C., McConnell, J., & McFadden, S. (2017). Computing eye gaze metrics for the automatic assessment of radiographer performance during x-ray image interpretation. International Journal of Medical Informatics, 105, 11–21.
Article
PubMed
Google Scholar
McLeod, P., Driver, J., Dienes, Z., & Crisp, J. (1991). Filtering by movement in visual search. Journal of Experimental Psychology: Human Perception and Performance, 17(1), 55.
PubMed
Google Scholar
Mehoudar, E., Arizpe, J., Baker, C. I., & Yovel, G. (2014). Faces in the eye of the beholder: unique and stable eye scanning patterns of individual observers. Journal of Vision, 14(7), 6–6.
Article
PubMed
PubMed Central
Google Scholar
Mello-Thoms, C. (2008). How much agreement is there in the visual search strategy of experts reading mammograms. Proceedings of SPIE 6917, Medical Imaging 2008: Image Perception, Observer Performance, and Technology Assessment, 691704, https://doi.org/10.1117/12.768835.
Mello-Thoms, C. (2009). The holistic grail: possible implications of an initial mistake in the reading of digital mammograms. Proceedings of SPIE 7263, Medical Imaging 2009: Image Perception, Observer Performance, and Technology Assessment, 72630L, https://doi.org/10.1117/12.813778.
Mercan, E., Shapiro, L. G., Brunyé, T. T., Weaver, D. L., & Elmore, J. G. (2018). Characterizing diagnostic search patterns in digital breast pathology: scanners and drillers. Journal of Digital Imaging, 31(1), 32–41.
Article
PubMed
Google Scholar
Michell, M. J., Iqbal, A., Wasan, R. K., Evans, D. R., Peacock, C., Lawinski, C. P., … Whelehan, P. (2012). A comparison of the accuracy of film-screen mammography, full-field digital mammography, and digital breast tomosynthesis. Clinical Radiology, 67(10), 976–981.
Article
PubMed
Google Scholar
Mital, P. K., Smith, T. J., Hill, R. L., & Henderson, J. M. (2011). Clustering of gaze during dynamic scene viewing is predicted by motion. Cognitive Computation, 3(1), 5–24.
Article
Google Scholar
Mousa, D. S. A., Brennan, P. C., Ryan, E. A., Lee, W. B., Tan, J., & Mello-Thoms, C. (2014). How mammographic breast density affects radiologists’ visual search patterns. Academic Radiology, 21(11), 1386–1393.
Article
PubMed
Google Scholar
Myles-Worsley, M., Johnston, W. A., & Simons, M. A. (1988). The influence of expertise on x-ray image processing. Journal of Experimental Psychology: Learning, Memory, and Cognition, 14(3), 553–557.
PubMed
Google Scholar
Nakashima, R., Komori, Y., Maeda, E., Yoshikawa, T., & Yokosawa, K. (2016). Temporal characteristics of radiologists’ and novices’ lesion detection in viewing medical images presented rapidly and sequentially. Frontiers in Psychology, 7, 1553.
Article
PubMed
PubMed Central
Google Scholar
National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC) (2018). Radiology data from the Clinical Proteomic Tumor Analysis Consortium Sarcomas [CPTAC-SAR] collection [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2019.9bt23r95.
Nodine, C. F., & Krupinski, E. A. (1998). Perceptual skill, radiology expertise, and visual test performance with NINA and WALDO. Academic Radiology, 5(9), 603–612.
Article
PubMed
Google Scholar
Nodine, C. F., & Kundel, H. L. (1987). The cognitive side of visual search in radiology. In Eye movements from physiology to cognition, (pp. 573–582).
Chapter
Google Scholar
Nodine, C. F., Kundel, H. L., Lauver, S. C., & Toto, L. C. (1996). Nature of expertise in searching mammograms for breast masses. Academic Radiology, 3(12), 1000–1006.
Article
PubMed
Google Scholar
Nodine, C. F., Kundel, H. L., Mello-Thoms, C., Weinstein, S. P., Orel, S. G., Sullivan, D. C., & Conant, E. F. (1999). How experience and training influence mammography expertise. Academic Radiology, 6(10), 575–585.
Article
PubMed
Google Scholar
Nodine, C. F., Mello-Thoms, C., Kundel, H. L., & Weinstein, S. P. (2002). Time course of perception and decision making during mammographic interpretation. American Journal of Roentgenology, 179(4), 917–923.
Article
PubMed
Google Scholar
Norman, G. R., Brooks, L. R., Coblentz, C. L., & Babcook, C. J. (1992). The correlation of feature identification and category judgments in diagnostic radiology. Memory & Cognition, 20(4), 344–355.
Article
Google Scholar
Oh, S. H., & Kim, M. S. (2004). The role of spatial working memory in visual search efficiency. Psychonomic Bulletin & Review, 11(2), 275–281.
Article
Google Scholar
Olivers, C. N., & Eimer, M. (2011). On the difference between working memory and attentional set. Neuropsychologia, 49(6), 1553–1558.
Article
PubMed
Google Scholar
Olivers, C. N., Meijer, F., & Theeuwes, J. (2006). Feature-based memory-driven attentional capture: visual working memory content affects visual attention. Journal of Experimental Psychology: Human Perception and Performance, 32(5), 1243–1265.
PubMed
Google Scholar
Paeye, C., & Madelain, L. (2014). Reinforcing saccadic amplitude variability in a visual search task. Journal of Vision, 14(13), 20–20.
Article
PubMed
Google Scholar
Peterson, M. S., Beck, M. R., & Vomela, M. (2007). Visual search is guided by prospective and retrospective memory. Perception & Psychophysics, 69(1), 123–135.
Article
Google Scholar
Peterson, M. S., Kramer, A. F., Wang, R. F., Irwin, D. E., & McCarley, J. S. (2001). Visual search has memory. Psychological Science, 12(4), 287–292.
Article
PubMed
Google Scholar
Phillips, P., Boone, D., Mallett, S., Taylor, S. A., Altman, D. G., Manning, D., … Halligan, S. (2013). Method for tracking eye gaze during interpretation of endoluminal 3D CT colonography: technical description and proposed metrics for analysis. Radiology, 267(3), 924–931.
Article
PubMed
Google Scholar
Porter, G., Troscianko, T., & Gilchrist, I. D. (2007). Effort during visual search and counting: insights from pupillometry. The Quarterly Journal of Experimental Psychology, 60(2), 211–229.
Article
PubMed
Google Scholar
Posner, M. I., & Cohen, Y. (1984). Components of visual orienting. Attention and Performance: Control of Language Processes, 32, 531–556.
Google Scholar
Potter, M. C. (1975). Meaning in visual search. Science, 187(4180), 965–966.
Article
PubMed
Google Scholar
Poynter, W., Barber, M., Inman, J., & Wiggins, C. (2013). Individuals exhibit idiosyncratic eye-movement behavior profiles across tasks. Vision Research, 89, 32–38.
Article
PubMed
Google Scholar
Rafferty, E. A., Park, J. M., Philpotts, L. E., Poplack, S. P., Sumkin, J. H., Halpern, E. F., & Niklason, L. T. (2013). Assessing radiologist performance using combined digital mammography and breast tomosynthesis compared with digital mammography alone: results of a multicenter, multireader trial. Radiology, 266(1), 104–113.
Article
PubMed
Google Scholar
Rayner, K., Li, X., Williams, C. C., Cave, K. R., & Well, A. D. (2007). Eye movements during information processing tasks: individual differences and cultural effects. Vision Research, 47(21), 2714–2726.
Article
PubMed
PubMed Central
Google Scholar
Ratcliff, R. & McKoon, G. (2008). The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks. Neural Computation, 20(4), 873–922.
Article
PubMed
PubMed Central
Google Scholar
Recarte, M. A., & Nunes, L. M. (2003). Mental workload while driving: effects on visual search, discrimination, and decision making. Journal of Experimental Psychology: Applied, 9(2), 119.
PubMed
Google Scholar
Riggs, C. A., Cornes, K., Godwin, H. J., Liversedge, S. P., Guest, R., & Donnelly, N. (2017). The importance of search strategy for finding targets in open terrain. Cognitive Research: Principles and Implications, 2(1), 14.
Google Scholar
Riggs, C. A., Godwin, H. J., Mann, C. M., Smith, S. J., Boardman, M., Liversedge, S. P., & Donnelly, N. (2018). Rummage search by expert dyads, novice dyads and novice individuals for objects hidden in houses. Visual Cognition, 26(5), 334–350.
Article
Google Scholar
Rosskopf, A. B., Dietrich, T. J., Hirschmann, A., Buck, F. M., Sutter, R., & Pfirrmann, C. W. (2015). Quality management in musculoskeletal imaging: form, content, and diagnosis of knee MRI reports and effectiveness of three different quality improvement measures. American Journal of Roentgenology, 204(5), 1069–1074.
Article
PubMed
Google Scholar
Rubin, G. D. (2015). Lung nodule and cancer detection in computed tomography screening. Journal of Thoracic Imaging, 30(2), 130–138.
Article
PubMed
PubMed Central
Google Scholar
Rubin, G. D., Drew, T., & Williams, L. H. (2018). Perception of volumetric data. In E. Samei, & E. Krupinski (Eds.), The handbook of medical image perception and techniques, (2nd ed., pp. 307–327). Cambridge: Cambridge University Press.
Chapter
Google Scholar
Rubin, G. D., Roos, J. E., Tall, M., Harrawood, B., Bag, S., Ly, D. L., … Roy Choudhury, K. (2015). Characterizing search, recognition, and decision in the detection of lung nodules on CT scans: elucidation with eye tracking. Radiology, 274(1), 276–286.
Article
PubMed
Google Scholar
Ruutiainen, A. T., Durand, D. J., Scanlon, M. H., & Itri, J. N. (2013). Increased error rates in preliminary reports issued by radiology residents working more than 10 consecutive hours overnight. Academic Radiology, 20(3), 305–311.
Article
PubMed
Google Scholar
Scarince, C., & Hout, M. C. (2018). Cutting through the MADness: expectations about what a target is doing impact how likely it is to be found in dynamic visual displays. Quarterly Journal of Experimental Psychology. https://doi.org/10.1177/1747021817741408.
Article
Google Scholar
Schwartz, L. H., Panicek, D. M., Berk, A. R., Li, Y., & Hricak, H. (2011). Improving communication of diagnostic radiology findings through structured reporting. Radiology, 260(1), 174–181.
Article
PubMed
PubMed Central
Google Scholar
Seltzer, S. E., Judy, P. F., Adams, D. F., Jacobson, F. L., Stark, P., Kikinis, R., … Feldman, U. (1995). Spiral CT of the chest: comparison of cine and film-based viewing. Radiology, 197(1), 73–78.
Article
PubMed
Google Scholar
Shore, D. I., & Klein, R. M. (2000). On the manifestations of memory in visual search. Spatial Vision, 14(1), 59–75.
Simons, D. J., & Chabris, C. F. (1999). Gorillas in our midst: sustained inattentional blindness for dynamic events. Perception, 28(9), 1059–1074.
Article
PubMed
Google Scholar
Smith, A. D., Hood, B. M., & Gilchrist, I. D. (2008). Visual search and foraging compared in a large-scale search task. Cognitive Processing, 9(2), 121–126.
Article
PubMed
Google Scholar
Solman, G. J., Cheyne, J. A., & Smilek, D. (2012). Found and missed: failing to recognize a search target despite moving it. Cognition, 123(1), 100–118.
Article
PubMed
Google Scholar
Solman, G. J., Hickey, K., & Smilek, D. (2014). Comparing target detection errors in visual search and manually-assisted search. Attention, Perception, & Psychophysics, 76(4), 945–958.
Article
Google Scholar
Solman, G. J., & Kingstone, A. (2015). Endogenous strategy in exploration. Journal of Experimental Psychology: Human Perception and Performance, 41(6), 1634–1649.
PubMed
Google Scholar
Solman, G. J., & Kingstone, A. (2017). Spatial partitions systematize visual search and enhance target memory. Attention, Perception, & Psychophysics, 79(2), 449–458.
Article
Google Scholar
Solman, G. J., Wu, N., Cheyne, J. A., & Smilek, D. (2013). In manually-assisted search, perception supervises rather than directs action. Experimental Psychology, 60(4), 243–254.
Article
PubMed
Google Scholar
Song, J. H., & Jiang, Y. (2005). Connecting the past with the present: how do humans match an incoming visual display with visual memory? Journal of Vision, 5(4), 4–4.
Article
Google Scholar
Soto, D., Heinke, D., Humphreys, G. W., & Blanco, M. J. (2005). Early, involuntary top-down guidance of attention from working memory. Journal of Experimental Psychology: Human Perception and Performance, 31(2), 248–261.
PubMed
Google Scholar
Spangler, M. L., Zuley, M. L., Sumkin, J. H., Abrams, G., Ganott, M. A., Hakim, C., … Gur, D. (2011). Detection and classification of calcifications on digital breast tomosynthesis and 2D digital mammography: a comparison. American Journal of Roentgenology, 196(2), 320–324.
Article
PubMed
Google Scholar
Stuijfzand, B. G., Van Der Schaaf, M. F., Kirschner, F. C., Ravesloot, C. J., Van Der Gijp, A., & Vincken, K. L. (2016). Medical students’ cognitive load in volumetric image interpretation: insights from human-computer interaction and eye movements. Computers in Human Behavior, 62, 394–403.
Article
Google Scholar
Swensson, R. G. (1980). A two-stage detection model applied to skilled visual search by radiologists. Perception & Psychophysics, 27(1), 11–16.
Article
Google Scholar
Takeda, Y., & Yagi, A. (2000). Inhibitory tagging in visual search can be found if search stimuli remain visible. Perception & Psychophysics, 62(5), 927–934.
Article
Google Scholar
Theeuwes, J., Kramer, A. F., Hahn, S., Irwin, D. E., & Zelinsky, G. J. (1999). Influence of attentional capture on oculomotor control. Journal of Experimental Psychology: Human Perception and Performance, 25(6), 1595.
PubMed
Google Scholar
Thomas, E. L., & Lansdown, E. L. (1963). Visual search patterns of radiologists in training. Radiology, 81(2), 288–292.
Article
PubMed
Google Scholar
Torralba, A., Oliva, A., Castelhano, M. S., & Henderson, J. M. (2006). Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search. Psychological Review, 113(4), 766.
Article
PubMed
Google Scholar
Treisman, A. M., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12(1), 97–136.
Article
PubMed
Google Scholar
Tuddenham, W. J. (1962). Visual search, image organization, and reader error in roentgen diagnosis: studies of the psychophysiology of roentgen image perception Memorial Fund lecture. Radiology, 78(5), 694–704.
Article
PubMed
Google Scholar
Unsworth, N., & Robison, M. K. (2018). Tracking working memory maintenance with pupillometry. Attention, Perception, & Psychophysics, 80(2), 461–484.
Article
Google Scholar
Vaidyanathan, P., Pelz, J., Alm, C., Shi, P., & Haake, A. (2014). Recurrence quantification analysis reveals eye-movement behavior differences between experts and novices. In Proceedings of the Symposium on Eye Tracking Research and Applications, (pp. 303–306). New York: ACM.
van der Gijp, A., Ravesloot, C. J., Jarodzka, H., van der Schaaf, M. F., van der Schaaf, I. C., van Schaik, J. P., & Ten Cate, T. J. (2016). How visual search relates to visual diagnostic performance: a narrative systematic review of eye-tracking research in radiology. Advances in Health Sciences Education, 22(3), 765–787.
Article
PubMed
PubMed Central
Google Scholar
van der Gijp, A., Ravesloot, C. J., van der Schaaf, M. F., van der Schaaf, I. C., Huige, J. C., Vincken, K. L., … van Schaik, J. P. (2015). Volumetric and two-dimensional image interpretation show different cognitive processes in learners. Academic Radiology, 22(5), 632–639.
Article
PubMed
Google Scholar
van Geel, K., Kok, E. M., Dijkstra, J., Robben, S. G., & van Merriënboer, J. J. (2017). Teaching systematic viewing to final-year medical students improves systematicity but not coverage or detection of radiologic abnormalities. Journal of the American College of Radiology, 14(2), 235–241.
Article
PubMed
Google Scholar
van Wermeskerken, M., Litchfield, D., & van Gog, T. (2018). What am I looking at? Interpreting dynamic and static gaze displays. Cognitive Science, 42(1), 220–252.
Article
PubMed
Google Scholar
Vaughan, J. (1984). Saccades directed at previously attended locations in space. In A. Gale & F. Johnson (Eds), Advances in Psychology, (vol. 22, pp. 143–150). Amsterdam, the Netherlands: North Holland.
Venjakob, A., Marnitz, T., Mahler, J., Sechelmann, S., & Roetting, M. (2012). Radiologists’ eye gaze when reading cranial CT images. Proceedings of SPIE 8318, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment, 83180B, https://doi.org/10.1117/12.913611.
Venjakob, A. C., Marnitz, T., Phillips, P., & Mello-Thoms, C. R. (2016). Image size influences visual search and perception of hemorrhages when reading cranial CT: an eye-tracking study. Human Factors, 58(3), 441–451.
Article
PubMed
Google Scholar
Venjakob, A. C., & Mello-Thoms, C. R. (2015). Review of prospects and challenges of eye tracking in volumetric imaging. Journal of Medical Imaging, 3(1), 011002.
Article
PubMed
PubMed Central
Google Scholar
Võ, M. L. H., Aizenman, A. M., & Wolfe, J. M. (2016). You think you know where you looked? You better look again. Journal of Experimental Psychology: Human Perception and Performance, 42(10), 1477.
PubMed
Google Scholar
Võ, M. L. H., & Wolfe, J. M. (2015). The role of memory for visual search in scenes. Annals of the New York Academy of Sciences, 1339(1), 72–81.
Article
PubMed Central
Google Scholar
Wen, G., Aizenman, A., Drew, T., Wolfe, J. M., Haygood, T. M., & Markey, M. K. (2016). Computational assessment of visual search strategies in volumetric medical images. Journal of Medical Imaging, 3(1), 015501.
Article
PubMed
PubMed Central
Google Scholar
Wildman-Tobriner, B., Allen, B. C., Bashir, M. R., Camp, M., Miller, C., Fiorillo, L. E., … McGreal, N. (2017). Structured reportings of CT enterography for inflammatory bowel disease: effect on key feature reporting, accuracy across training levels, and subjective assessment of disease by referring physicians. Abdominal Radiology, 42(9), 2243–2250.
Article
PubMed
Google Scholar
Williams, L. H., & Drew, T. (2017). Distraction in diagnostic radiology: how is search through volumetric medical images affected by interruptions? Cognitive Research: Principles and Implications, 2(1), 12.
Google Scholar
Wolfe, J. M. (2003). Moving towards solutions to some enduring controversies in visual search. Trends in Cognitive Sciences, 7(2), 70–76.
Article
PubMed
Google Scholar
Wolfe, J. M. (2012). When do I quit? The search termination problem in visual search. In The influence of attention, learning, and motivation on visual search, (pp. 183–208). New York: Springer.
Chapter
Google Scholar
Wolfe, J. M. (2013). When is it time to move to the next raspberry bush? Foraging rules in human visual search. Journal of Vision, 13(3), 10–10.
Article
PubMed
PubMed Central
Google Scholar
Wolfe, J. M. (2016). Use-inspired basic research in medical image perception. Cognitive Research: Principles and Implications, 1(1), 17.
Google Scholar
Wolfe, J. M., Aizenman, A. M., Boettcher, S. E., & Cain, M. S. (2016). Hybrid foraging search: searching for multiple instances of multiple types of target. Vision Research, 119, 50–59.
Article
PubMed
PubMed Central
Google Scholar
Wolfe, J. M., Alvarez, G. A., & Horowitz, T. S. (2000). Attention is fast but volition is slow. Nature, 406(6797), 691.
Article
PubMed
Google Scholar
Wolfe, J. M., Cave, K. R., & Franzel, S. L. (1989). Guided search: an alternative to the feature integration model for visual search. Journal of Experimental Psychology: Human Perception and Performance, 15(3), 419.
PubMed
Google Scholar
Wolfe, J. M., Evans, K. K., Drew, T., Aizenman, A., & Josephs, E. (2016). How do radiologists use the human search engine? Radiation Protection Dosimetry, 169(1–4), 24–31.
Article
PubMed
PubMed Central
Google Scholar
Wolfe, J. M., & Horowitz, T. S. (2004). What attributes guide the deployment of visual attention and how do they do it? Nature Reviews Neuroscience, 5(6), 495.
Article
PubMed
Google Scholar
Wolfe, J. M., Horowitz, T. S., Kenner, N., Hyle, M., & Vasan, N. (2004). How fast can you change your mind? The speed of top-down guidance in visual search. Vision Research, 44(12), 1411–1426.
Article
PubMed
Google Scholar
Wolfe, J. M., Soce, A. A., & Schill, H. M. (2017). How did I miss that? Developing mixed hybrid visual search as a ‘model system’for incidental finding errors in radiology. Cognitive Research: Principles and Implications, 2(1), 35.
Google Scholar
Wolfe, J. M., Võ, M. L. H., Evans, K. K., & Greene, M. R. (2011). Visual search in scenes involves selective and nonselective pathways. Trends in Cognitive Sciences, 15(2), 77–84.
Article
PubMed
PubMed Central
Google Scholar
Young, A. H., & Hulleman, J. (2013). Eye movements reveal how task difficulty moulds visual search. Journal of Experimental Psychology: Human Perception and Performance, 39(1), 168–190.
PubMed
Google Scholar
Zang, X., Shi, Z., Müller, H. J., & Conci, M. (2017). Contextual cueing in 3D visual search depends on representations in planar-, not depth-defined space. Journal of Vision, 17(5), 17–17.
Article
PubMed
Google Scholar