Somphone Siviengphanom

4PUBLICATIONS
2CO-AUTHORS
Semi- and unsupervised learningGeoscience data visualisationTranslation and interpretation studiesPsycholinguistics (incl. speech production and comprehension)
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Publications (4)

|Oct 15, 2024
A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult.

Somphone Siviengphanom, Patrick C Brennan, Sarah J Lewis

|Jan 24, 2024
Computer-extracted global radiomic features can predict the radiologists' first impression about the abnormality of a screening mammogram.

Somphone Siviengphanom, Sarah J Lewis, Patrick C Brennan

|May 30, 2023
Global Radiomic Features from Mammography for Predicting Difficult-To-Interpret Normal Cases.

Somphone Siviengphanom, Ziba Gandomkar, Sarah J Lewis

|Apr 25, 2023
Reliability of radiologists' first impression when interpreting a screening mammogram.

Ziba Gandomkar, Somphone Siviengphanom, Mo'ayyad Suleiman

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Frequent Collaborators

1 joint publications

Ziba Gandomkar

1 joint publications

Dong Xu