Dr Yun Trieu
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Dr Yun Trieu

PhD (Usyd), MDR (Usyd)
Discipline of Medical Imaging Sciences
School of Health Sciences
Faculty of Medicine and Health
Dr Yun Trieu

Dr. Phuong D Trieu (Yun) is a senior lecturer in Discipline of Medical Imaging Sciences at Faculty of Medicine and Health and researcher in Breastscreen REader Assessment STrategy (BREAST). Dr. Trieu's teaching and research explore innovative algorithms to improve the detection of early clinical indicators of malignancy on medical images and a cost-effective method for clinicians, educators and medical students to build portable mammogram reading workstations that suit with the remote delivery of high-quality training and education. Dr. Trieu's current work is focused on developing individualized mammogram training test sets using intelligent algorithms and she also leads BREAST’s research and training activities in Vietnam.

- ULTRA-BREAST: Enhancing Sonographers' Diagnostic Proficiency in Breast Ultrasound

- ENHANCE: Enhanced diagnostic efficacy in breast radiology via artificial intelligence education (Funded by Sydney Cancer Institute)

-Effective Artificial Intelligence for breast cancer screening: a second reader, pre-screening and triage model(Funded by National Breast Cancer Foundation)

-BREAST: Priority projects for BreastScreen Australia (Funded by Department of Health)

-VIETRAD: Transforming of breast cancer diagnosis in Vietnam (Funded by Department of Foreign Affairs and Trade)

Project titleResearch student
Impact of prior mammograms on observer performanceJudith David AKWO

Publications

Journals

  • Jiang, Z., Gandomkar, Z., Trieu, P., Tavakoli Taba, S., Barron, M., Obeidy, P., Lewis, S. (2024). Evaluating Recalibrating AI Models for Breast Cancer Diagnosis in a New Context: Insights from Transfer Learning, Image Enhancement and High-Quality Training Data Integration. Cancers, 16(2), 322. [More Information]
  • Trieu, P., Robinson, M., Abu Awwad, D., Lewis, S. (2024). Exploring the impact of work experience on the detection of specific cancers across different breast density levels on screening mammograms. European Journal of Radiology, 181, 111776. [More Information]
  • Trieu, P., Barron, M., Jiang, Z., Tavakoli Taba, S., Gandomkar, Z., Lewis, S. (2024). Familiarity, confidence and preference of artificial intelligence feedback and prompts by Australian breast cancer screening readers. Australian Health Review, 48(3), 299-311. [More Information]

Conferences

  • Trieu, P., Noakes, J., Borecky, N., Li, T., Brennan, P., Robinson, M., Lewis, S. (2022). Diagnostic performances of radiology trainees in reading digital breast tomosynthesis and the synthesized view. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, : SPIE. [More Information]
  • Lewis, S., Li, T., Borecky, N., Brennan, P., Robinson, M., Trieu, P. (2022). Prior mammogram review may affect the performance of radiology trainees in identifying breast cancers and normal cases. Proceedings of SPIE - The International Society for Optical Engineering, United States: SPIE. [More Information]
  • Gandomkar, Z., Li, T., Trieu, P., Lewis, S., Brennan, P. (2021). A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammography. Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment, United States: SPIE. [More Information]

2024

  • Jiang, Z., Gandomkar, Z., Trieu, P., Tavakoli Taba, S., Barron, M., Obeidy, P., Lewis, S. (2024). Evaluating Recalibrating AI Models for Breast Cancer Diagnosis in a New Context: Insights from Transfer Learning, Image Enhancement and High-Quality Training Data Integration. Cancers, 16(2), 322. [More Information]
  • Trieu, P., Robinson, M., Abu Awwad, D., Lewis, S. (2024). Exploring the impact of work experience on the detection of specific cancers across different breast density levels on screening mammograms. European Journal of Radiology, 181, 111776. [More Information]
  • Trieu, P., Barron, M., Jiang, Z., Tavakoli Taba, S., Gandomkar, Z., Lewis, S. (2024). Familiarity, confidence and preference of artificial intelligence feedback and prompts by Australian breast cancer screening readers. Australian Health Review, 48(3), 299-311. [More Information]

2023

  • Akwo, J., Trieu, P., Lewis, S. (2023). Does the availability of prior mammograms improve radiologists' observer performance?-a scoping review. BJR - Open, 5(1), 20230038-20230038. [More Information]
  • Trieu, P., Mello-Thoms, C., Robinson, M., Lewis, S. (2023). Look how far we have come: BREAST cancer detection education on the international stage. Frontiers in Oncology, 12, 1-13. [More Information]
  • Trieu, P., Noakes, J., Li, T., Borecky, N., Brennan, P., Barron, M., Lewis, S. (2023). Radiologists' performance in reading digital breast tomosynthesis with and without synthesized views for cancer detection. British Journal of Radiology, 96(1145), 20220704. [More Information]

2022

  • Lewis, S., Robinson, M., Trieu, P. (2022). Diagnostic performance of radiographers compared with an international radiology cohort from developing countries in breast cancer detection. Journal of Medical Imaging and Radiation Sciences, 53(4), S23-S24. [More Information]
  • Trieu, P., Noakes, J., Borecky, N., Li, T., Brennan, P., Robinson, M., Lewis, S. (2022). Diagnostic performances of radiology trainees in reading digital breast tomosynthesis and the synthesized view. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, : SPIE. [More Information]
  • Li, T., Gandomkar, Z., Trieu, P., Lewis, S., Brennan, P. (2022). Differences in lesion interpretation between radiologists in two countries: Lessons from a digital breast tomosynthesis training test set. Asia-Pacific Journal of Clinical Oncology, 18(4), 441-447. [More Information]

2021

  • Gandomkar, Z., Li, T., Trieu, P., Lewis, S., Brennan, P. (2021). A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammography. Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment, United States: SPIE. [More Information]
  • Trieu, P., Lewis, S., Li, T., Ho, K., Wong, D., Tran, O., Puslednik, L., Black, D., Brennan, P. (2021). Improving radiologist's ability in identifying particular abnormal lesions on mammograms through training test set with immediate feedback. Scientific Reports, 11(1), 9899. [More Information]
  • Trieu, P., Puslednik, L., Colley, B., Brennan, A., Rodriguez, V., Cook, N., Dean, K., Dryburgh, S., Lowe, H., Mahon, C., Wong, D., Li, T., Brennan, P., et al (2021). Interpretative characteristics and case features associated with the performances of radiologists in reading mammograms: A study from a non-screening population in Asia. Asia-Pacific Journal of Clinical Oncology, 17(1), 139-148. [More Information]

2020

  • Gandomkar, Z., Ekpo, E., Lewis, S., Suleiman, M., Tapia, K., Li, T., Tavakoli Taba, S., Trieu, P., Brennan, P. (2020). Investigating the potential of a gist-sensitive computer-aided detection tool. Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, Bellingham: Society of Photo-Optical Instrumentation Engineers (SPIE). [More Information]
  • Trieu, P., Lewis, S., Li, T., Ho, K., Tapia, K., Brennan, P. (2020). Reader characteristics and mammogram features associated with breast imaging reporting scores. British Journal of Radiology, 93(1114), 20200363. [More Information]
  • Li, T., Tavakoli Taba, S., Khong, P., Tan, T., Trieu, P., Chan, E., Suleiman, M., Li, Y., Brennan, P., Lewis, S. (2020). Reading high breast density mammograms: Differences in diagnostic performance between radiologists from Hong Kong SAR/guangdong province in China and Australia. Asian Pacific Journal of Cancer Prevention, 21(9), 2623-2629. [More Information]

2019

  • Jackson, R., Double, C., Munro, H., Lynch, J., Tapia, K., Trieu, P., Alakhras, M., Ganesan, A., Do, T., Soh, B., Brennan, P., Puslednik, L. (2019). Breast cancer diagnostic efficacy in a developing South-East Asian country. Asian Pacific Journal of Cancer Prevention, 20(3), 727-731. [More Information]
  • Gandomkar, Z., Ekpo, E., Lewis, S., Evans, K., Tapia, K., Trieu, P., Wolfe, J., Brennan, P. (2019). Does the strength of the GIST signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms? Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment, Bellingham: Society of Photo-Optical Instrumentation Engineers (SPIE). [More Information]
  • Trieu, P., Tapia, K., Frazer, H., Lee, W., Brennan, P. (2019). Improvement of Cancer Detection on Mammograms via BREAST Test Sets. Academic Radiology, 26(12), e341-e347. [More Information]

2018

  • Gandomkar, Z., Ekpo, E., Lewis, S., Evans, K., Tapia, K., Trieu, P., Wolfe, J., Brennan, P. (2018). Detection of the abnormal GIST in the prior mammograms even with no overt sign of breast cancer. 14th International Workshop on Breast Imaging (IWBI 2018), Bellingham: Society of Photo-Optical Instrumentation Engineers (SPIE). [More Information]
  • Brennan, P., Gandomkar, Z., Ekpo, E., Tapia, K., Trieu, P., Lewis, S., Wolfe, J., Evans, K. (2018). RadioloGISTs can detect the 'GIST' of breast cancer before any overt signs of cancer appear. Scientific Reports, 8(1), 1-12. [More Information]

2017

  • Trieu, P., Mello-Thoms, C., Peat, J., Doan Do, T., Brennan, P. (2017). Associations of breast density with demographic, reproductive, and lifestyle factors in a developing Southeast Asian population. Asia-Pacific Journal of Public Health, 29(5), 377-387. [More Information]
  • Trieu, P., Mello-Thoms, C., Peat, J., Do, T., Brennan, P. (2017). Characterization of breast density in Vietnam and its association with demographic, reproductive and lifestyle factors. SPIE Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment. [More Information]
  • Trieu, P., Mello-Thoms, C., Peat, J., Do, T., Brennan, P. (2017). Inconsistencies of breast cancer risk factors between the northern and southern regions of Vietnam. Asian Pacific Journal of Cancer Prevention, 18(10), 2747-2754. [More Information]

2016

  • Littlefair, S., Brennan, P., Mello-Thoms, C., Trieu, P., Pietryzk, M., Talanow, R., Reed, W. (2016). Outcomes Knowledge May Bias Radiological Decision-making. Academic Radiology, 23(6), 760-767. [More Information]
  • Trieu, P., Lee, W., Tapia, K., Brennan, P. (2016). The effectiveness of the cranio-caudal mammogram projection among radiologists. SPIE Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, USA: SPIE Publications. [More Information]

2015

  • Trieu, P., Brennan, P., Giuffre, B., Mello-Thoms, C., Tapia, K., Santangelo, N., Kim, H., Cameron, K., Hayter, C., Da Costa, G., Lee, W., et al (2015). Evaluation of the effect of zoom function on lesion detection by soft-copy reading of screening mammograms. Journal of Medical Imaging and Radiation Oncology, 59(3), 292-299. [More Information]
  • Trieu, P., Mello-Thoms, C., Brennan, P. (2015). Female breast cancer in Vietnam: a comparison across Asian specific regions. Cancer Biology & Medicine, 12(3), 238-245. [More Information]

2014

  • Brennan, P., Trieu, P., Tapia, K., Ryan, J., Mello-Thoms, C., Lee, W. (2014). BREAST: A Novel Strategy to Improve the Detection of Breast Cancer. 12th International Workshop on Breast Imaging, New York: Springer Lecture Notes in Computer Science. [More Information]
  • Mello-Thoms, C., Trieu, P., Brennan, P. (2014). Going on with false beliefs: What if satisfaction of search was really suppression of recognition? SPIE Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, Bellingham, Washington, USA: SPIE Publications. [More Information]
  • Mello-Thoms, C., Trieu, P., Rawashdeh, M., Tapia, K., Lee, W., Brennan, P. (2014). Understanding the Role of Correct Lesion Assessment in Radiologists' Reporting of Breast Cancer. 12th International Workshop on Breast Imaging, New York: Springer Lecture Notes in Computer Science. [More Information]

2013

  • Trieu, P., Brennan, P., Lee, W., Ryan, E., Reed, W., Pietrzyk, M. (2013). The Value of Craniocaudal Mammographic View in Breast Cancer Detection: A Preliminary Study. Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment, Bellingham, United States: Society of Photo-Optical Instrumentation Engineers (SPIE). [More Information]

2012

  • Trieu, P., Brennan, P., Lee, W., Ryan, E., Reed, W., Pietrzyk, M. (2012). The value of the cranialcaudal mammographic view in breast cancer detection: A preliminary study. Macquarie Matrix, 2.2, 150-158.

Selected Grants

2022

  • Reaching the Unreached: A comprehensive world-class training to improve early breast cancer detection in Vietnam, Trieu P, Sydney Southeast Asia Centre/SSEAC Workshop Grant
  • ENHANCE: Enhanced diagnostic efficacy in breast radiology via artificial intelligence education, Trieu P, Sydney Cancer Institute/Sydney Cancer Institute Seed Grant
  • Effective Artificial Intelligence for breast cancer screening: a second reader, pre-screening and triage model, Lewis S, Trieu P, Gandomkar Z, Brennan P, Borecky N, Tavakoli Taba S, National Breast Cancer Foundation/Investigator Initiated Research Scheme

2020

  • Improving breast cancer detection on mammograms through training test sets with immediate feedback, Trieu P, Sydney Southeast Asia Centre/Open Access Grant