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Moayyad E Suleiman
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Year
Mean glandular dose in digital mammography: a dose calculation method comparison
ME Suleiman, PC Brennan, MF McEntee
Journal of Medical Imaging 4 (1), 013502-013502, 2017
392017
Diagnostic reference levels in digital mammography: a systematic review
ME Suleiman, PC Brennan, MF McEntee
Radiation protection dosimetry 167 (4), 608-619, 2015
392015
Diagnostic reference levels for digital mammography in New South Wales
ME Suleiman, MF McEntee, L Cartwright, J Diffey, PC Brennan
Journal of medical imaging and radiation oncology 61 (1), 48-57, 2017
302017
BI-RADS density categorization using deep neural networks
Z Gandomkar, ME Suleiman, D Demchig, PC Brennan, MF McEntee
Medical Imaging 2019: Image Perception, Observer Performance, and Technology …, 2019
252019
Effects of time of day on radiological interpretation
AS Alshabibi, ME Suleiman, KA Tapia, PC Brennan
Clinical Radiology 75 (2), 148-155, 2020
142020
Integrating mammographic breast density in glandular dose calculation
ME Suleiman, PC Brennan, E Ekpo, P Kench, MF McEntee
The British journal of radiology 91 (1085), 20180032, 2018
142018
Perfecting detection through education
ME Suleiman, M Rickard, PC Brennan
Radiography 26, S49-S53, 2020
102020
Impact of hours awake and hours slept at night on radiologists’ mammogram interpretations
AS Alshabibi, ES Mo'ayyad, KA Tapia, R Heard, PC Brennan
Journal of the American College of Radiology 18 (5), 730-738, 2021
92021
Global processing provides malignancy evidence complementary to the information captured by humans or machines following detailed mammogram inspection
Z Gandomkar, S Siviengphanom, EU Ekpo, M Suleiman, ST Taba, T Li, ...
Scientific reports 11 (1), 20122, 2021
82021
A review of screening mammography: the benefits and radiation risks put into perspective
S Hooshmand, WM Reed, ES Mo'ayyad, PC Brennan
Journal of Medical Imaging and Radiation Sciences 53 (1), 147-158, 2022
62022
Expert radiologist performance does not appear to impact upon their capability in perceiving the gist of the abnormal on mammograms
Z Gandomkar, EU Ekpo, Z Chen, ME Suleiman, T Li, K Tapia, PC Brennan, ...
15th International Workshop on Breast Imaging (IWBI2020) 11513, 156-162, 2020
62020
Impact of time of day on radiology image interpretations
AS Alshabibi, ME Suleiman, KA Tapia, R Heard, PC Brennan
Clinical Radiology 75 (10), 746-756, 2020
52020
Screening Mammography: diagnostic efficacy—issues and considerations for the 2020S
S Hooshmand, WM Reed, ME Suleiman, PC Brennan
Radiation Protection Dosimetry 197 (1), 54-62, 2021
42021
Reading high breast density mammograms: differences in diagnostic performance between radiologists from Hong Kong SAR/Guangdong Province in China and Australia
T Li, ST Taba, PL Khong, TXL Tan, PDY Trieu, E Chan, ME Suleiman, Y Li, ...
Asian Pacific journal of cancer prevention: APJCP 21 (9), 2623, 2020
42020
An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists
Z Gandomkar, EU Ekpo, SJ Lewis, ME Suleiman, S Siviengphanom, T Li, ...
Medical Imaging 2021: Image Perception, Observer Performance, and Technology …, 2021
32021
Investigating the potential of a gist-sensitive computer-aided detection tool
Z Gandomkar, EU Ekpo, SJ Lewis, ME Suleiman, K Tapia, T Li, ST Taba, ...
Medical Imaging 2020: Image Perception, Observer Performance, and Technology …, 2020
32020
DICOM organ dose does not accurately represent calculated dose in mammography
ME Suleiman, PC Brennan, MF McEntee
Medical Imaging 2016: Physics of Medical Imaging 9783, 649-657, 2016
22016
Reliability of radiologists’ first impression when interpreting a screening mammogram
Z Gandomkar, S Siviengphanom, M Suleiman, D Wong, W Reed, ...
Plos one 18 (4), e0284605, 2023
12023
RRIMS: radiation risk in Mammography screening–a novel model for predicting the lifetime dose and risk of radiation-induced breast cancer from the first screening visit
S Hooshmand, WM Reed, ME Suleiman, PC Brennan
BJR| Open 4 (1), 20220028, 2022
12022
The reliability of radiologists' first impression interpreting a screening mammogram
Z Gandomkar, S Siviengphanom, D Wong, W Reed, EU Ekpo, D Xu, ...
Medical Imaging 2022: Image Perception, Observer Performance, and Technology …, 2022
12022
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