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Sarah Lewis 0001
Person information
- affiliation: University of Sydney, Medical Image Optimisation and Perception Group, MIOPeG, Faculty of Health Sciences, NSW, Australia
Other persons with the same name
- Sarah Lewis — disambiguation page
- Sarah Lewis 0002 — University of Stanford, School of Education, Palo Alto, CA, USA
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2020 – today
- 2023
- [j8]Somphone Siviengphanom
, Ziba Gandomkar, Sarah J. Lewis, Patrick C. Brennan:
Global Radiomic Features from Mammography for Predicting Difficult-To-Interpret Normal Cases. J. Digit. Imaging 36(4): 1541-1552 (2023) - [c20]Jia Lin Chua, Qin Xiao, Tong Li, Yajia Gu, Melissa L. Robinson, Kriscia Tapia, Sarah Lewis, Phuong Dung Trieu:
Diagnostic performance characteristics of Chinese radiologists in breast cancer detection with FFDM versus DBT images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [c19]Elly K. Gallagher, Phuong Dung Trieu, Ziba Gandomkar, Tong Li, Masoumeh Gity, Patrick C. Brennan, Sarah Lewis, Seyedamir Tavakoli Taba:
A comparative study of diagnostic performance and work experience of radiologists in three countries interpreting digital breast tomosynthesis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [c18]Ziba Gandomkar, Sarah J. Lewis, Somphone Siviengphanom, Dennis Wong, Ernest U. Ekpo, Moayyad E. Suleiman
False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [c17]Zhengqiang Jiang, Phuong Dung Trieu, Ziba Gandomkar, Seyedamir Tavakoli Taba, Melissa L. Barron, Sarah J. Lewis:
How do you solve a problem like concordance? a study of radiologists' clinical annotations for mammographic AI training. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [c16]Somphone Siviengphanom, Ziba Gandomkar, Sarah J. Lewis, Patrick C. Brennan:
Global mammographic radiomic signature can predict radiologists' difficult-to-interpret normal cases. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [c15]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, Patrick C. Brennan, Phuong Dung Trieu:
A progress in diagnostic performances of Vietnamese doctors in reading mammograms with different Level of breast density via the VIETRAD program. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - 2022
- [j7]Ziba Gandomkar, Pek-Lan Khong, Amanda Punch, Sarah Lewis
Using Occlusion-Based Saliency Maps to Explain an Artificial Intelligence Tool in Lung Cancer Screening: Agreement Between Radiologists, Labels, and Visual Prompts. J. Digit. Imaging 35(5): 1164-1175 (2022) - [j6]Anton Aminzadeh
Imaging Breast Microcalcifications Using Dark-Field Signal in Propagation-Based Phase-Contrast Tomography. IEEE Trans. Medical Imaging 41(11): 2980-2990 (2022) - [c14]Wing Lam Chiu, Tong Li
Diagnostic efficacy in screening mammograms does not improve with peer reading strategy: a Sino-Australian study. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - [c13]Ziba Gandomkar, Somphone Siviengphanom, Moayyad E. Suleiman
The reliability of radiologists' first impression interpreting a screening mammogram. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - [c12]Phuong Dung (Yun) Trieu, Jennifer Noakes, Natacha Borecky, Tong Li
Diagnostic performances of radiology trainees in reading digital breast tomosynthesis and the synthesized view. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - 2021
- [c11]Ziba Gandomkar
An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2021 - [c10]Ziba Gandomkar
A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammography. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2021 - 2020
- [j5]Tara Liley, Elaine Ryan, Kristal Lee
Student perceptions of remote access simulated learning in computed tomography. Interact. Learn. Environ. 28(7): 865-875 (2020) - [c9]Ziba Gandomkar
Investigating the potential of a gist-sensitive computer-aided detection tool. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 113160J
2010 – 2019
- 2019
- [c8]Ziba Gandomkar
Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms? Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 1095203 - 2018
- [j4]Mohammad A. Rawashdeh
Breast lesion shape and margin evaluation: BI-RADS based metrics understate radiologists' actual levels of agreement. Comput. Biol. Medicine 96: 294-298 (2018) - [j3]Mohammad A. Rawashdeh
Knowledge and practice of computed tomography exposure parameters amongst radiographers in Jordan. Comput. Biol. Medicine 102: 132-137 (2018) - [c7]Sarah J. Lewis
Towards clinic-friendly solutions for patient trials in breast cancer phase contrast imaging. IWBI 2018: 107181P - [c6]Ziba Gandomkar
Detection of the abnormal gist in the prior mammograms even with no overt sign of breast cancer. IWBI 2018: 1071804 - 2016
- [c5]Norhashimah Mohd Norsuddin
Lower Recall Rates Reduced Readers' Sensitivity in Screening Mammography. Digital Mammography / IWDM 2016: 116-121 - [c4]Zoey Z. Y. Ang, Rob Heard, Mohammad A. Rawashdeh
Breast Asymmetry, Distortion and Density Are Key Factors for False Positive Decisions. Digital Mammography / IWDM 2016: 307-315 - [c3]Zoey Z. Y. Ang, Mohammad A. Rawashdeh
The classification of normal screening mammograms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 97870I - [c2]John W. Robinson, Patrick C. Brennan
The impact of radiology expertise upon the localization of subtle pulmonary lesions. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 97870K - [c1]Mohammad A. Rawashdeh
Investigating the link between the radiological experience and the allocation of an 'equivocal finding'. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 978710 - 2015
- [j2]Seyedamir Tavakoli Taba, Liaquat Hossain, Simon Reay Atkinson, Sarah Lewis
Towards understanding longitudinal collaboration networks: a case of mammography performance research. Scientometrics 103(2): 531-544 (2015) - 2013
- [j1]Karen L. Dobeli, Sarah J. Lewis
Optimization of Computed Tomography Protocols: Limitations of a Methodology Employing a Phantom with Location-Known Opacities. J. Digit. Imaging 26(6): 1001-1007 (2013)
Coauthor Index
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