Varying performance in mammographic interpretation across two countries: Do results indicate reader or population variances? - BaoLin Pauline Soh; Warwick B. Lee; Jill Wong; Llewellyn Sim; Stephen L. Hillis; Kriscia A. Tapia; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2016)

Estimating latent reader-performance variability using the Obuchowski-Rockette method. - Stephen L. Hillis; Badera Al Mohammad; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2019)

Comparing senior residents performance to radiologists in lung cancer detection. - Badera Al Mohammad; Stephen L. Hillis; Warren M. Reed; Charbel Saade; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2019)

Determining Roe and Metz model parameters for simulating multireader multicase confidence-of-disease rating data based on read-data or conjectured Obuchowski-Rockette parameter estimates. - Stephen L. Hillis (Image Perception, Observer Performance, and Technology Assessment, 2020)

Multi-reader multi-case analysis of variance software for diagnostic performance comparison of imaging modalities. - Brian J. Smith; Stephen L. Hillis (Image Perception, Observer Performance, and Technology Assessment, 2020)

Identical-test Roe and Metz simulation model for validating multi-reader methods of analysis for comparing different radiologic imaging modalities. - Stephen L. Hillis (Image Perception, Observer Performance, and Technology Assessment, 2022)

MATLAB toolbox for ROC analysis of multi-reader multi-case diagnostic imaging studies. - Brian J. Smith; Stephen L. Hillis (Image Perception, Observer Performance, and Technology Assessment, 2022)

Obuchowski-Rockette analysis for Multi-Reader Multi-Case (MRMC) readers-nested-in-test study design with unequal numbers of readers. - Stephen L. Hillis; BaoLin Pauline Soh (Image Perception, Observer Performance, and Technology Assessment, 2023)

Radiologists Help Each Other to Improve Efficiency by Decreasing the Time to Look Up a Patient's Relevant Clinical History in the Electronic Medical Record. - Umber Shafique; Stephen L. Hillis; Jinha M. Park; David M. Kuehn; Maheen Rajput (J. Digit. Imaging, 2023)