Sarah J. Lewis

20 papers Journal 4Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult. J. Imaging Inform. Medicine Somphone Siviengphanom, Patrick C. Brennan, Sarah J. Lewis, Phuong Dung Trieu, Ziba Gandomkar
2023	—	`conf`	False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms. Image Perception, Observer Performance, and Technology Assessment Ziba Gandomkar, Sarah J. Lewis, Somphone Siviengphanom, Dennis Wong, Ernest U. Ekpo, Moayyad E. Suleiman, Xuetong Tao, Warren M. Reed, Patrick C. Brennan
2023	J	`jnl`	Global Radiomic Features from Mammography for Predicting Difficult-To-Interpret Normal Cases. J. Digit. Imaging Somphone Siviengphanom, Ziba Gandomkar, Sarah J. Lewis, Patrick C. Brennan
2023	—	`conf`	Global mammographic radiomic signature can predict radiologists' difficult-to-interpret normal cases. Image Perception, Observer Performance, and Technology Assessment Somphone Siviengphanom, Ziba Gandomkar, Sarah J. Lewis, Patrick C. Brennan
2023	—	`conf`	How do you solve a problem like concordance? a study of radiologists' clinical annotations for mammographic AI training. Image Perception, Observer Performance, and Technology Assessment Zhengqiang Jiang, Phuong Dung Trieu, Ziba Gandomkar, Seyedamir Tavakoli Taba, Melissa L. Barron, Sarah J. Lewis
2022	—	`conf`	Diagnostic efficacy in screening mammograms does not improve with peer reading strategy: a Sino-Australian study. Image Perception, Observer Performance, and Technology Assessment Wing Lam Chiu, Tong Li, Sarah J. Lewis
2022	—	`conf`	Diagnostic performances of radiology trainees in reading digital breast tomosynthesis and the synthesized view. Image Perception, Observer Performance, and Technology Assessment Phuong Dung (Yun) Trieu, Jennifer Noakes, Natacha Borecky, Tong Li, Patrick C. Brennan, Melissa L. Barron, Sarah J. Lewis
2022	—	`conf`	The reliability of radiologists' first impression interpreting a screening mammogram. Image Perception, Observer Performance, and Technology Assessment Ziba Gandomkar, Somphone Siviengphanom, Moayyad E. Suleiman, Dennis Wong, Warren M. Reed, Ernest U. Ekpo, Dong Xu, Sarah J. Lewis, Patrick C. Brennan
2021	—	`conf`	A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammography. Image Perception, Observer Performance, and Technology Assessment Ziba Gandomkar, Tong Li, Phuong Dung Trieu, Sarah J. Lewis, Patrick C. Brennan
2021	—	`conf`	An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists. Image Perception, Observer Performance, and Technology Assessment Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Moayyad E. Suleiman, Somphone Siviengphanom, Tong Li, Patrick C. Brennan
2020	—	`conf`	Investigating the potential of a gist-sensitive computer-aided detection tool. Image Perception, Observer Performance, and Technology Assessment Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Moayyad E. Suleiman, Kriscia Tapia, Tong Li, Seyedamir Tavakoli Taba, Phuong Dung Trieu, Patrick C. Brennan
2020	J	`jnl`	Student perceptions of remote access simulated learning in computed tomography. Interact. Learn. Environ. Tara Liley, Elaine Ryan, Kristal Lee, Matthew R. Dimmock, John W. Robinson, Sarah J. Lewis
2019	—	`conf`	Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms? Image Perception, Observer Performance, and Technology Assessment Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Karla K. Evans, Kriscia A. Tapia, Phuong Dung Trieu, Jeremy M. Wolfe, Patrick C. Brennan
2018	—	`conf`	Detection of the abnormal gist in the prior mammograms even with no overt sign of breast cancer. IWBI Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Karla K. Evans, Kriscia Tapia, Phuong Dung Trieu, Jeremy M. Wolfe, Patrick C. Brennan
2018	—	`conf`	Towards clinic-friendly solutions for patient trials in breast cancer phase contrast imaging. IWBI Sarah J. Lewis, Timur E. Gureyev, Patrycja Baran, Seyedamir Tavakoli Taba, Serena Pacilè, Christian Dullin, Giuliana Tromba, Daniel Hausermann, Andrew Peele, Darren Lockie, Patrick C. Brennan
2016	—	`conf`	Breast Asymmetry, Distortion and Density Are Key Factors for False Positive Decisions. Digital Mammography / IWDM Zoey Z. Y. Ang, Rob Heard, Mohammad A. Rawashdeh, Patrick C. Brennan, Warwick B. Lee, Sarah J. Lewis
2016	—	`conf`	Investigating the link between the radiological experience and the allocation of an 'equivocal finding'. Image Perception, Observer Performance, and Technology Assessment Mohammad A. Rawashdeh, Camila Vidotti, Warwick B. Lee, Sarah J. Lewis, Claudia Mello-Thoms, Warren M. Reed, Kriscia Tapia, Patrick C. Brennan
2016	—	`conf`	The classification of normal screening mammograms. Image Perception, Observer Performance, and Technology Assessment Zoey Z. Y. Ang, Mohammad A. Rawashdeh, Robert Heard, Patrick C. Brennan, Warwick B. Lee, Sarah J. Lewis
2016	—	`conf`	The impact of radiology expertise upon the localization of subtle pulmonary lesions. Image Perception, Observer Performance, and Technology Assessment John W. Robinson, Patrick C. Brennan, Claudia Mello-Thoms, Sarah J. Lewis
2013	J	`jnl`	Optimization of Computed Tomography Protocols: Limitations of a Methodology Employing a Phantom with Location-Known Opacities. J. Digit. Imaging Karen L. Dobeli, Sarah J. Lewis, Steven R. Meikle, David L. Thiele, Patrick C. Brennan