BI-RADS density categorization using deep neural networks. - Ziba Gandomkar; Moayyad E. Suleiman; Delgermaa Demchig; Patrick C. Brennan; Mark F. McEntee (Image Perception, Observer Performance, and Technology Assessment, 2019)

Effect of time of day on radiology image interpretations. - Abdulaziz S. Alshabibi; Moayyad E. Suleiman; Kriscia A. Tapia; Robert Heard; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2020)

Investigating the potential of a gist-sensitive computer-aided detection tool. - Ziba Gandomkar; Ernest U. Ekpo; Sarah J. Lewis 001; Moayyad E. Suleiman; Kriscia Tapia; Tong Li; Seyedamir Tavakoli Taba; Phuong Dung Trieu; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2020)

Effect of time awake and hours slept at night on radiologists' interpretations of mammogram images. - Abdulaziz S. Alshabibi; Moayyad E. Suleiman; Kriscia A. Tapia; Robert Heard; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2021)

An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists. - Ziba Gandomkar; Ernest U. Ekpo; Sarah J. Lewis 001; Moayyad E. Suleiman; Somphone Siviengphanom; Tong Li; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2021)

The reliability of radiologists' first impression interpreting a screening mammogram. - Ziba Gandomkar; Somphone Siviengphanom; Moayyad E. Suleiman; Dennis Wong; Warren M. Reed; Ernest U. Ekpo; Dong Xu; Sarah J. Lewis 001; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2022)

False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms. - Ziba Gandomkar; Sarah J. Lewis 001; Somphone Siviengphanom; Dennis Wong; Ernest U. Ekpo; Moayyad E. Suleiman; Xuetong Tao; Warren M. Reed; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2023)