Somphone Siviengphanom

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 6

Top Topics

Signature Verification

Early Detection Of Breast Cancer

Number Of False Positives

Top Venues

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

J. Digit. Imaging

Publications

Somphone Siviengphanom, Ziba Gandomkar, Sarah J. Lewis, Patrick C. Brennan
Global Radiomic Features from Mammography for Predicting Difficult-To-Interpret Normal Cases. J. Digit. Imaging 36 (4) (2023)
Ziba Gandomkar, Sarah J. Lewis, Somphone Siviengphanom, Dennis Wong, Ernest U. Ekpo, Moayyad E. Suleiman, Xuetong Tao, Warren M. Reed, Patrick C. Brennan
False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Somphone Siviengphanom, Ziba Gandomkar, Sarah J. Lewis, Patrick C. Brennan
Global mammographic radiomic signature can predict radiologists' difficult-to-interpret normal cases. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Xuetong Tao, Somphone Siviengphanom, Ziba Gandomkar, Tong Li, Warren M. Reed, Patrick C. Brennan
Investigating the error-making patterns in reading high-density screening mammograms between radiologists from two countries. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Ziba Gandomkar, Somphone Siviengphanom, Moayyad E. Suleiman, Dennis Wong, Warren M. Reed, Ernest U. Ekpo, Dong Xu, Sarah J. Lewis, Patrick C. Brennan
The reliability of radiologists' first impression interpreting a screening mammogram. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Moayyad E. Suleiman, Somphone Siviengphanom, Tong Li, Patrick C. Brennan
An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)