Optimization of Computed Tomography Protocols: Limitations of a Methodology Employing a Phantom with Location-Known Opacities. - Karen L. Dobeli; Sarah J. Lewis 001; Steven R. Meikle; David L. Thiele; Patrick C. Brennan (J. Digit. Imaging, 2013)

Towards understanding longitudinal collaboration networks: a case of mammography performance research. - Seyedamir Tavakoli Taba; Liaquat Hossain; Simon Reay Atkinson; Sarah Lewis 001 (Scientometrics, 2015)

Breast Asymmetry, Distortion and Density Are Key Factors for False Positive Decisions. - Zoey Z. Y. Ang; Rob Heard; Mohammad A. Rawashdeh; Patrick C. Brennan; Warwick B. Lee; Sarah J. Lewis 001 (Digital Mammography / IWDM, 2016)

Lower Recall Rates Reduced Readers' Sensitivity in Screening Mammography. - Norhashimah Mohd Norsuddin; Claudia Mello-Thoms; Warren M. Reed; Patrick C. Brennan; Sarah Lewis 001 (Digital Mammography / IWDM, 2016)

The classification of normal screening mammograms. - Zoey Z. Y. Ang; Mohammad A. Rawashdeh; Robert Heard; Patrick C. Brennan; Warwick B. Lee; Sarah J. Lewis 001 (Image Perception, Observer Performance, and Technology Assessment, 2016)

Investigating the link between the radiological experience and the allocation of an 'equivocal finding'. - Mohammad A. Rawashdeh; Camila Vidotti; Warwick B. Lee; Sarah J. Lewis 001; Claudia Mello-Thoms; Warren M. Reed; Kriscia Tapia; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2016)

The impact of radiology expertise upon the localization of subtle pulmonary lesions. - John W. Robinson; Patrick C. Brennan; Claudia Mello-Thoms; Sarah J. Lewis 001 (Image Perception, Observer Performance, and Technology Assessment, 2016)

Detection of the abnormal gist in the prior mammograms even with no overt sign of breast cancer. - Ziba Gandomkar; Ernest U. Ekpo; Sarah J. Lewis 001; Karla K. Evans; Kriscia Tapia; Phuong Dung Trieu; Jeremy M. Wolfe; Patrick C. Brennan (IWBI, 2018)

Towards clinic-friendly solutions for patient trials in breast cancer phase contrast imaging. - Sarah J. Lewis 001; Timur E. Gureyev; Patrycja Baran; Seyedamir Tavakoli Taba; Serena Pacilè; Christian Dullin; Giuliana Tromba; Daniel Hausermann; Andrew Peele; Darren Lockie; Patrick C. Brennan (IWBI, 2018)

Breast lesion shape and margin evaluation: BI-RADS based metrics understate radiologists' actual levels of agreement. - Mohammad A. Rawashdeh; Sarah Lewis 001; Maha Zaitoun; Patrick C. Brennan (Comput. Biol. Medicine, 2018)

Knowledge and practice of computed tomography exposure parameters amongst radiographers in Jordan. - Mohammad A. Rawashdeh; Mark F. McEntee; Maha Zaitoun; Mostafa Abdelrahman; Patrick C. Brennan; Haytham Alewaidat; Sarah Lewis 001; Charbel Saade (Comput. Biol. Medicine, 2018)

Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms? - Ziba Gandomkar; Ernest U. Ekpo; Sarah J. Lewis 001; Karla K. Evans; Kriscia A. Tapia; Phuong Dung Trieu; Jeremy M. Wolfe; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2019)

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)

Student perceptions of remote access simulated learning in computed tomography. - Tara Liley; Elaine Ryan; Kristal Lee; Matthew R. Dimmock; John W. Robinson; Sarah J. Lewis 001 (Interact. Learn. Environ., 2020)

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)

A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammography. - Ziba Gandomkar; Tong Li; Phuong Dung Trieu; Sarah J. Lewis 001; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2021)

Diagnostic efficacy in screening mammograms does not improve with peer reading strategy: a Sino-Australian study. - Wing Lam Chiu; Tong Li; Sarah J. Lewis 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)

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)

Diagnostic performances of radiology trainees in reading digital breast tomosynthesis and the synthesized view. - Phuong Dung (Yun) Trieu; Jennifer Noakes; Natacha Borecky; Tong Li; Patrick C. Brennan; Melissa L. Barron; Sarah J. Lewis 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)

Using Occlusion-Based Saliency Maps to Explain an Artificial Intelligence Tool in Lung Cancer Screening: Agreement Between Radiologists, Labels, and Visual Prompts. - Ziba Gandomkar; Pek-Lan Khong; Amanda Punch; Sarah Lewis 001 (J. Digit. Imaging, 2022)

Imaging Breast Microcalcifications Using Dark-Field Signal in Propagation-Based Phase-Contrast Tomography. - Anton Aminzadeh; Benedicta D. Arhatari; Anton Maksimenko; Christopher J. Hall; Daniel Hausermann; A. G. Peele; Jane Fox; Beena Kumar; Zdenka Prodanovic; Matthew R. Dimmock; Darren Lockie; Konstantin M. Pavlov; et al. (IEEE Trans. Medical Imaging, 2022)

Diagnostic performance characteristics of Chinese radiologists in breast cancer detection with FFDM versus DBT images. - Jia Lin Chua; Qin Xiao; Tong Li; Yajia Gu; Melissa L. Robinson; Kriscia Tapia; Sarah Lewis 001; Phuong Dung Trieu (Image Perception, Observer Performance, and Technology Assessment, 2023)

A comparative study of diagnostic performance and work experience of radiologists in three countries interpreting digital breast tomosynthesis. - Elly K. Gallagher; Phuong Dung Trieu; Ziba Gandomkar; Tong Li; Masoumeh Gity; Patrick C. Brennan; Sarah Lewis 001; Seyedamir Tavakoli Taba (Image Perception, Observer Performance, and Technology Assessment, 2023)

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)

How do you solve a problem like concordance? a study of radiologists' clinical annotations for mammographic AI training. - Zhengqiang Jiang; Phuong Dung Trieu; Ziba Gandomkar; Seyedamir Tavakoli Taba; Melissa L. Barron; Sarah J. Lewis 001 (Image Perception, Observer Performance, and Technology Assessment, 2023)

Global mammographic radiomic signature can predict radiologists' difficult-to-interpret normal cases. - Somphone Siviengphanom; Ziba Gandomkar; Sarah J. Lewis 001; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2023)

A progress in diagnostic performances of Vietnamese doctors in reading mammograms with different Level of breast density via the VIETRAD program. - Iman Bint Talha; Oanh T. M. Tran; Due T. Ong; Thuy T. Hoang; Tuan A. Khuong; Dennis Wong; Karen Ho; Natacha Borecky; Mary Rickard; Sarah Lewis 001; Patrick C. Brennan; Phuong Dung Trieu (Image Perception, Observer Performance, and Technology Assessment, 2023)

Global Radiomic Features from Mammography for Predicting Difficult-To-Interpret Normal Cases. - Somphone Siviengphanom; Ziba Gandomkar; Sarah J. Lewis 001; Patrick C. Brennan (J. Digit. Imaging, 2023)