Nicholas R. Payne

Cambridge, ENG, United Kingdom

Last Updated: 09/26/2026

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Found 12 publications

A comparison of tumour characteristics of screen-detected and interval cancers and their relationship with breast density and AJCC prognostic stage in a UK screening cohort.

A comparison of tumour characteristics of screen-detected and interval cancers and their relationship with breast density and AJCC prognostic stage in a UK screening cohort.

Journal: European radiology

Published: December 15, 2025

Evaluation of a Mammography-based Deep Learning Model for Breast Cancer Risk Prediction in a Triennial Screening Program.

Evaluation of a Mammography-based Deep Learning Model for Breast Cancer Risk Prediction in a Triennial Screening Program.

Journal: Radiology

Published: October 28, 2025

Acceptance, experience, and feedback for supplemental screening in dense breasts among women participating in the BRAID trial.

Acceptance, experience, and feedback for supplemental screening in dense breasts among women participating in the BRAID trial.

Journal: Insights into imaging

Published: May 28, 2025

Comparison of supplemental breast cancer imaging techniques-interim results from the BRAID randomised controlled trial.

Comparison of supplemental breast cancer imaging techniques-interim results from the BRAID randomised controlled trial.

Journal: Lancet (London, England)

Published: December 21, 2024

Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-alone Readers and Combined with Human Readers.

Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-alone Readers and Combined with Human Readers.

Journal: Radiology

Published: November 19, 2024

Deep learning-based breast cancer diagnosis in breast MRI: systematic review and meta-analysis.

Deep learning-based breast cancer diagnosis in breast MRI: systematic review and meta-analysis.

Journal: European radiology

Published: October 17, 2024

Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging.

Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging.

Journal: Communications medicine

Published: October 09, 2024

Tumour growth rate and invasive interval cancer characteristics in a UK breast cancer screening population.

Tumour growth rate and invasive interval cancer characteristics in a UK breast cancer screening population.

Journal: European radiology

Published: September 02, 2024

Accuracy of an Artificial Intelligence System for Interval Breast Cancer Detection at Screening Mammography.

Accuracy of an Artificial Intelligence System for Interval Breast Cancer Detection at Screening Mammography.

Journal: Radiology

Published: August 27, 2024

Strategies for integrating artificial intelligence into mammography screening programmes: a retrospective simulation analysis.

Strategies for integrating artificial intelligence into mammography screening programmes: a retrospective simulation analysis.

Journal: The Lancet. Digital health

Published: December 11, 2023

Breast density effect on the sensitivity of digital screening mammography in a UK cohort.

Breast density effect on the sensitivity of digital screening mammography in a UK cohort.

Journal: European radiology

Published: November 21, 2023

Mammography Breast Cancer Screening Triage Using Deep Learning: A UK Retrospective Study.

Mammography Breast Cancer Screening Triage Using Deep Learning: A UK Retrospective Study.

Journal: Radiology

Published: November 21, 2023

Showing 1-12 of 12

Last Updated: 09/26/2026