OPTIMAM mammography image database: a large-scale resource of mammography images and clinical data

MD Halling-Brown, LM Warren, D Ward… - Radiology: Artificial …, 2020 - pubs.rsna.org
OPTIMAM Mammography Image Database: A Large-Scale Resource of Mammography
Images and Clinical Data | Radiology: Artificial Intelligence the logo of RSNA in blue …

Effect of image quality on calcification detection in digital mammography

LM Warren, A Mackenzie, J Cooke… - Medical …, 2012 - Wiley Online Library
Purpose: This study aims to investigate if microcalcification detection varies significantly
when mammographic images are acquired using different image qualities, including …

Impact of using artificial intelligence as a second reader in breast screening including arbitration

LM Warren, J Venton, KC Young, M Halling-Brown… - Nature Cancer, 2026 - nature.com
The impact of incorporating artificial intelligence (AI) into a double-read breast-screening
workflow, including arbitration, is unclear. This retrospective study included 50,000 …

Deep learning for breast cancer risk prediction: application to a large representative UK screening cohort

S Ellis, S Gomes, M Trumble… - Radiology: Artificial …, 2024 - pubs.rsna.org
Purpose To develop an artificial intelligence (AI) deep learning tool capable of predicting
future breast cancer risk from a current negative screening mammographic examination and …

The relationship between cancer detection in mammography and image quality measurements

A Mackenzie, LM Warren, MG Wallis, RM Given-Wilson… - Physica Medica, 2016 - Elsevier
Purpose To investigate the relationship between image quality measurements and the
clinical performance of digital mammographic systems. Methods Mammograms containing …

Development and validation of a modelling framework for simulating 2D-mammography and breast tomosynthesis images

P Elangovan, LM Warren, A Mackenzie… - Physics in Medicine …, 2014 - iopscience.iop.org
Planar 2D x-ray mammography is generally accepted as the preferred screening technique
used for breast cancer detection. Recently, digital breast tomosynthesis (DBT) has been …

Radiation risk of breast screening in England with digital mammography

LM Warren, DR Dance, KC Young - The British journal of …, 2016 - academic.oup.com
Objective: To estimate the risks and benefits of breast screening in terms of number of
deaths due to radiation-induced cancers and the number of lives saved owing to modern …

The effect of image processing on the detection of cancers in digital mammography

LM Warren, RM Given-Wilson, MG Wallis… - American journal of …, 2014 - ajronline.org
OBJECTIVE. The objective of our study was to investigate the effect of image processing on
the detection of cancers in digital mammography images. MATERIALS AND METHODS …

Diagnostic accuracy, fairness and clinical implementation of AI for breast cancer screening: results of multicenter retrospective and prospective technical feasibility …

CJ Kelly, M Wilson, LM Warren, R Sidebottom… - Nature Cancer, 2026 - nature.com
Artificial intelligence (AI) promises to enhance breast cancer screening. Here we evaluated
Google's mammography AI system (version 1.2) across two phases: a retrospective study …

Breast cancer detection rates using four different types of mammography detectors

A Mackenzie, LM Warren, MG Wallis, J Cooke… - European …, 2016 - Springer
Objective To compare the performance of different types of detectors in breast cancer
detection. Methods A mammography image set containing subtle malignant non-calcification …