New Risk Factors for Breast Cancer Based on Digital Mammograms: Determinants, Prediction of Interval Cancers, and Clinical Translation Through Volpara

AI-based BRAIx risk score for the intermediate-term prediction of breast cancer: a population cohort study.

Helen ML Frazer, John L Hopper, Tuong L Nguyen, Michael S Elliott, Katrina M Kunicki, Osamah Al-Qershi, Daniel F Schmidt, Enes Makalic, Shuai Li, Samantha K Fox, James G Dowty, Carlos A Peña-Solorzano, Chun Fung Kwok, Yuanhong Chen, Chong Wang, Jocelyn Lippey, Peter Brotchie, Gustavo Carneiro, Fredrik Strand, Davis J McCarthy

2026-03-03

BACKGROUND: Artificial intelligence (AI)-based algorithms are being implemented in breast screening to detect breast cancers on ma..

Causal relationships between breast cancer risk factors based on mammographic features

Z Ye, TL Nguyen, GS Dite, RJ MacInnis, DF Schmidt, E Makalic, OM Al-Qershi, M Bui, VFC Esser, JG Dowty, HN Trinh, CF Evans, M Tan, J Sung, MA Jenkins, GG Giles, MC Southey, JL Hopper, S Li

2023-12-01

Background: Mammogram risk scores based on texture and density defined by different brightness thresholds are associated with brea..

Genetic Aspects of Mammographic Density Measures Associated with Breast Cancer Risk

S Li, TL Nguyen, T Nguyen-Dumont, JG Dowty, GS Dite, Z Ye, HN Trinh, CF Evans, M Tan, J Sung, MA Jenkins, GG Giles, JL Hopper, MC Southey

2022-06-01

Cumulus, Altocumulus, and Cirrocumulus are measures of mammographic density defined at increasing pixel brightness thresholds, whi..