Dr Helen Frazer
Clinical (Associate Professor)
Department of Radiology
36 Scholarly works
3 Projects
HIGHLIGHTS
2026
Journal article
AutoCumulus: an automated mammographic density measure created using artificial intelligence.
DOI: 10.1186/s12885-026-16264-z2026
Journal article
AI-based BRAIx risk score for the intermediate-term prediction of breast cancer: a population cohort study
DOI: 10.1016/j.landig.2026.1009872026
Journal article
Open-Source Dataset for the RSNA Screening Mammography Cancer Detection Challenge
DOI: 10.1148/ryai.2503752026
Journal article
Trust in AI Is a “Fluid Process”: Building Trust of AI Through Clinicians’ Needs in the BreastScreen Victoria Program—A Qualitative Study
DOI: 10.1177/104973232513515212021
Research grants (ARC, NHMRC, MRFF)
Centre of Research Excellence in Precision Public Health Approaches to Breast Cancer Screening, Early Detection and Mortality Reduction
2018
Research Grant
Improved and Automated Measures of Breast Cancer Risk Based on Digital Mammography and Family History Data Collected by Breastscreen That Will Enable Tailored Screening for Breast Cancer
2017
Research Grant
Development of Automated Measures From Mammograms That Predict Masking and Risk and Pilot Implementation Into a Clinical Service
RECENT SCHOLARLY WORKS
2025
Journal article
The Lucerne Toolbox 3: digital health and artificial intelligence to optimise the patient journey in early breast cancer—a multidisciplinary consensus
DOI: 10.1016/S1470-2045(25)00463-22025
Journal article
Developing a Typology of Women's Attitudes Towards AI Use in the BreastScreen Programme—A Qualitative Study With BreastScreen Victoria Clients
DOI: 10.1111/hex.704152025
Journal article
Performance of Algorithms Submitted in the 2023 RSNA Screening Mammography Breast Cancer Detection AI Challenge
DOI: 10.1148/radiol.2414472025
Journal article
Implementing artificial intelligence in breast cancer screening: Women’s preferences
DOI: 10.1002/cncr.358592025
Journal article
Progressive Mining and Dynamic Distillation of Hierarchical Prototypes for Disease Classification and Localisation
DOI: 10.1109/JBHI.2025.35585082025
Journal article
Cross- and Intra-Image Prototypical Learning for Multi-Label Disease Diagnosis and Interpretation
DOI: 10.1109/TMI.2025.3541830