Phuong Dung Trieu

11 papers Journal 1Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult. J. Imaging Inform. Medicine Somphone Siviengphanom, Patrick C. Brennan, Sarah J. Lewis, Phuong Dung Trieu, Ziba Gandomkar
2023	—	`conf`	A comparative study of diagnostic performance and work experience of radiologists in three countries interpreting digital breast tomosynthesis. Image Perception, Observer Performance, and Technology Assessment Elly K. Gallagher, Phuong Dung Trieu, Ziba Gandomkar, Tong Li, Masoumeh Gity, Patrick C. Brennan, Sarah Lewis, Seyedamir Tavakoli Taba
2023	—	`conf`	A progress in diagnostic performances of Vietnamese doctors in reading mammograms with different Level of breast density via the VIETRAD program. Image Perception, Observer Performance, and Technology Assessment 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
2023	—	`conf`	Diagnostic performance characteristics of Chinese radiologists in breast cancer detection with FFDM versus DBT images. Image Perception, Observer Performance, and Technology Assessment Jia Lin Chua, Qin Xiao, Tong Li, Yajia Gu, Melissa L. Robinson, Kriscia Tapia, Sarah Lewis, Phuong Dung Trieu
2023	—	`conf`	How do you solve a problem like concordance? a study of radiologists' clinical annotations for mammographic AI training. Image Perception, Observer Performance, and Technology Assessment Zhengqiang Jiang, Phuong Dung Trieu, Ziba Gandomkar, Seyedamir Tavakoli Taba, Melissa L. Barron, Sarah J. Lewis
2021	—	`conf`	A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammography. Image Perception, Observer Performance, and Technology Assessment Ziba Gandomkar, Tong Li, Phuong Dung Trieu, Sarah J. Lewis, Patrick C. Brennan
2020	—	`conf`	Investigating the potential of a gist-sensitive computer-aided detection tool. Image Perception, Observer Performance, and Technology Assessment Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Moayyad E. Suleiman, Kriscia Tapia, Tong Li, Seyedamir Tavakoli Taba, Phuong Dung Trieu, Patrick C. Brennan
2019	—	`conf`	Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms? Image Perception, Observer Performance, and Technology Assessment Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Karla K. Evans, Kriscia A. Tapia, Phuong Dung Trieu, Jeremy M. Wolfe, Patrick C. Brennan
2018	—	`conf`	Detection of the abnormal gist in the prior mammograms even with no overt sign of breast cancer. IWBI Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Karla K. Evans, Kriscia Tapia, Phuong Dung Trieu, Jeremy M. Wolfe, Patrick C. Brennan
2014	—	`conf`	BREAST: A Novel Strategy to Improve the Detection of Breast Cancer. Digital Mammography / IWDM Patrick C. Brennan, Phuong Dung Trieu, Kriscia Tapia, John Ryan, Claudia Mello-Thoms, Warwick B. Lee
2014	—	`conf`	Understanding the Role of Correct Lesion Assessment in Radiologists' Reporting of Breast Cancer. Digital Mammography / IWDM Claudia Mello-Thoms, Phuong Dung Trieu, Mohammed A. Rawashdeh, Kriscia Tapia, Warwick B. Lee, Patrick C. Brennan