Ms. Somphone Siviengphanom Profile

Somphone Siviengphanom

at The Univ of Sydney

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Author

Publications (8)

Proceedings Article | 29 March 2024 Presentation + Paper

Exploring varied time intervals on diagnostic performances of radiologists and trainees via test sets

Phuong Dung (Yun) Trieu, Somphone Siviengphanom, Melissa Barron, Sarah Lewis

Proceedings Volume 12929, 129290M (2024) https://doi.org/10.1117/12.3008282

KEYWORDS: Education and training, Mammography, Radiology, Cancer detection

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Proceedings Article | 29 March 2024 Presentation + Paper

Predicting the gist of breast cancer on a screening mammogram using global radiomic features

Somphone Siviengphanom, Sarah Lewis, Patrick Brennan, Ziba Gandomkar

Proceedings Volume 12929, 129290J (2024) https://doi.org/10.1117/12.3005470

KEYWORDS: Mammography, Breast cancer, Radiomics, Image classification, Breast, Medical imaging, Cancer, Machine learning, Cancer detection, Random forests

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Proceedings Article | 3 April 2023 Presentation + Paper

Investigating the error-making patterns in reading high-density screening mammograms between radiologists from two countries

Xuetong Tao, Somphone Siviengphanom, Ziba Gandomkar, Tong Li, Warren Reed, Patrick Brennan

Proceedings Volume 12467, 124670B (2023) https://doi.org/10.1117/12.2655164

KEYWORDS: Mammography, Cancer, Education and training, Breast density, Breast, Diagnostics, Cancer detection, Breast cancer, Biopsy, Radiology

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Proceedings Article | 3 April 2023 Presentation + Paper

Global mammographic radiomic signature can predict radiologists’ difficult-to-interpret normal cases

Somphone Siviengphanom, Ziba Gandomkar, Sarah Lewis, Patrick Brennan

Proceedings Volume 12467, 1246708 (2023) https://doi.org/10.1117/12.2645377

KEYWORDS: Radiomics, Mammography, Feature extraction, Breast, Cooccurrence matrices, Image processing, Performance modeling, Statistical modeling, Mathematical modeling, Machine learning

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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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Showing 5 of 8 publications

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