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Nicholas Payne

Assistant Research Professor

University of Cambridge

United Kingdom

Research Interests

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Articles (11)

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2026

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2024

Year:

2023

Collaborators (3)

Roido Manavaki

University of Cambridge

UNITED KINGDOM

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Raquel Perez-Lopez

Vall d'Hebron Institut de Recerca

SPAIN

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Fiona Gilbert

Professor

University of Cambridge

UNITED KINGDOM

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Nicholas Payne

Research Interests

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Articles (11)

Performance of breast cancer risk prediction algorithms across mammography systems in the UK screening programme.

Improving the diagnostic performance of contrast-enhanced mammography through lesion conspicuity and enhancement quantification.

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

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

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

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

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

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

Introduction of automated breast ultrasound as an additional screening tool for dense breasts in the UK: a practical approach from the BRAID trial

Corrigendum to “Overview of trials on artificial intelligence algorithms in breast cancer screening – A roadmap for international evaluation and implementation” [Eur. J. Radiol. 167 (2023) 111087] (European Journal of Radiology (2023) 167, (S0720048X23004011), (10.1016/j.ejrad.2023.111087))

Overview of trials on artificial intelligence algorithms in breast cancer screening - A roadmap for international evaluation and implementation.

Collaborators (3)

Roido Manavaki

Raquel Perez-Lopez

Fiona Gilbert

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