Dr. Mo'ayyad E. Suleiman Profile

Dr. Mo'ayyad E. Suleiman

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Author

Publications (13)

Proceedings Article | 29 March 2024 Presentation + Paper

Deep learning analysis of breast arterial calcifications: a study on predicting cardiovascular disease in women

Mu'ath Ibrahim, Ziba Gandomkar, Mo'ayyad Suleiman, Jessica Yi, Seyedamir Tavakoli Taba, Patrick Brennan

Proceedings Volume 12929, 1292905 (2024) https://doi.org/10.1117/12.3007042

KEYWORDS: Mammography, Deep learning, Image segmentation, Cardiovascular disorders, Breast, Statistical analysis

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Proceedings Article | 29 March 2024 Presentation + Paper

Radiologists’ performance in diagnosing silicosis on high-resolution computed tomography (HRCT) scans: an online platform

Jessica Yi, Kriscia Tapia, John Robinson, Ziba Gandomkar, Mo'ayyad Suleiman, Patrick Brennan, Nigel Sommerfeld, Seyedamir Tavakoli Taba

Proceedings Volume 12929, 1292908 (2024) https://doi.org/10.1117/12.3006114

KEYWORDS: Education and training, Opacity, Radiology, Pulmonary disorders, Lung, Diagnostics, Computed tomography, Emphysema, Lymph nodes, Chest, Chest imaging, Silica, Accuracy assessment

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Proceedings Article | 3 April 2023 Presentation + Paper

False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms

Ziba Gandomkar, Sarah Lewis, Somphone Siviengphanom, Dennis Wong, Ernest Ekpo, Moayyad Suleiman, Xuetong Tao, Warren Reed, Patrick Brennan

Proceedings Volume 12467, 124670A (2023) https://doi.org/10.1117/12.2655154

KEYWORDS: Mammography, Cancer, Radiomics, Breast cancer, Cancer detection, Image classification, Breast, Artificial intelligence

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Proceedings Article | 13 July 2022 Paper

Classification and reviewing of prior screening mammograms from screen-detected breast cancer cases

Ziba Gandomkar, Sarah Lewis, Somphone Siviengphanom, Moayyad Suleiman, Dennis Wong, Warren Reed, Ernest Ekpo, Patrick Brennan

Proceedings Volume 12286, 122860Z (2022) https://doi.org/10.1117/12.2625750

KEYWORDS: Breast cancer, Cancer, Mammography, Breast, Image quality, Digital mammography, Tumors, Radiology, Receptors

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Proceedings Article | 4 April 2022 Presentation + Paper

The reliability of radiologists' first impression interpreting a screening mammogram

Ziba Gandomkar, Somphone Siviengphanom, Mo'ayyad Suleiman, Dennis Wong, Warren Reed, Ernest Ekpo, Dong Xu, Sarah Lewis, Patrick Brennan

Proceedings Volume 12035, 120350R (2022) https://doi.org/10.1117/12.2612803

KEYWORDS: Mammography, Breast cancer, Cancer, Signal detection, Reliability, Breast, Radiology, Lithium, Diagnostics, Visualization

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Proceedings Article | 15 February 2021 Presentation + Paper

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 Ekpo, Sarah Lewis, Moayyad Suleiman, Somphone Siviengphanom, Tong Li, Patrick Brennan

Proceedings Volume 11599, 115990K (2021) https://doi.org/10.1117/12.2582099

KEYWORDS: Mammography, Breast cancer, Tumor growth modeling, Data modeling, Cancer

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Proceedings Article | 15 February 2021 Presentation + Paper

Effect of time awake and hours slept at night on radiologists’ interpretations of mammogram images

Abdulaziz Alshabibi, Moayyad Suleiman, Kriscia Tapia, Robert Heard, Patrick Brennan

Proceedings Volume 11599, 115990R (2021) https://doi.org/10.1117/12.2580835

KEYWORDS: Mammography, Databases, Breast

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Proceedings Article | 22 May 2020 Paper

Expert radiologist performance does not appear to impact upon their capability in perceiving the gist of the abnormal on mammograms

Ziba Gandomkar, Ernest Ekpo, Ziliang Chen, Moayyad Suleiman, Tong Li, Kriscia Tapia, Patrick Brennan, Sarah Lewis

Proceedings Volume 11513, 115130L (2020) https://doi.org/10.1117/12.2564275

KEYWORDS: Mammography, Breast cancer, Breast, Radiology

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Proceedings Article | 16 March 2020 Presentation + Paper

Investigating the potential of a gist-sensitive computer-aided detection tool

Ziba Gandomkar, Ernest Ekpo, Sarah Lewis, Moayyad Suleiman, Kriscia Tapia, Tong Li, Seyedamir Tavakoli Taba, Phuong Dung Trieu, Patrick Brennan

Proceedings Volume 11316, 113160J (2020) https://doi.org/10.1117/12.2549921

KEYWORDS: Breast cancer, Mammography, Cancer, Medical imaging, Image processing, Breast, Computer aided diagnosis and therapy

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Proceedings Article | 16 March 2020 Presentation + Paper

Effect of time of day on radiology image interpretations

Abdulaziz Alshabibi, Moayyad Suleiman, Kriscia Tapia, Robert Heard, Patrick Brennan

Proceedings Volume 11316, 1131608 (2020) https://doi.org/10.1117/12.2543503

KEYWORDS: Mammography, Radiology, Breast, Breast cancer, Databases, Medical imaging, Receivers, Visualization, LCDs, Health sciences

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Proceedings Article | 4 March 2019 Presentation + Paper

BI-RADS density categorization using deep neural networks

Ziba Gandomkar, Moayyad Suleiman, Delgermaa Demchig, Patrick Brennan, Mark McEntee

Proceedings Volume 10952, 109520N (2019) https://doi.org/10.1117/12.2513185

KEYWORDS: Breast, Mammography, Manufacturing, Image segmentation, Breast cancer, Neural networks, Medical imaging, Tissues, Breast imaging, Network architectures

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SPIE Journal Paper | 24 January 2017

Mean glandular dose in digital mammography: a dose calculation method comparison

Moayyad Suleiman, Patrick Brennan, Mark McEntee

JMI, Vol. 4, Issue 01, 013502, (January 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.1.013502

KEYWORDS: Mammography, Breast, Digital mammography, Imaging systems, Systems modeling, Statistical analysis, Cancer, Monte Carlo methods, Error analysis, Breast cancer

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Proceedings Article | 22 March 2016 Paper

DICOM organ dose does not accurately represent calculated dose in mammography

Moayyad Suleiman, Patrick Brennan, Mark McEntee

Proceedings Volume 9783, 97832L (2016) https://doi.org/10.1117/12.2216698

KEYWORDS: Mammography, Breast, Radiation dosimetry, Digital mammography, Error analysis, Cancer, Systems modeling, Breast cancer, Monte Carlo methods

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Showing 5 of 13 publications

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