Publications by authors named "Mark Halling-Brown"

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International evaluation of an AI system for breast cancer screening.
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, Jonathan Godwin, Natasha Antropova, Hutan Ashrafian, Trevor Back, Mary Chesus, Greg S Corrado, Ara Darzi

January 2020

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FAST MRI: DYAMOND trial protocol (can an abbreviated MRI scan detect breast cancers missed by mammography for screening clients with average mammographic density attending their first screening mammogram?)-a diagnostic yield study within the NHS population-risk breast screening programme.
Lyn Isobel Jones, Rebecca Geach, Abi Loose, Sadie McKeown-Keegan, Andrea Marshall, Mark Halling-Brown

BMJ Open· September 2025

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Diagnostic performance of tomosynthesis plus synthetic mammography versus full-field digital mammography with or without tomosynthesis in breast cancer screening: A systematic review and meta-analysis.
Wasim Hamad, Michael J Michell, Jonathan P Myles, Fiona J Gilbert, Yan Chen, Mark Halling-Brown

Int J Cancer· March 2025

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Contact X-ray Brachytherapy as a sole treatment in selected patients with early rectal cancer - Multi-centre study.
Ngu Wah Than, D Mark Pritchard, David M Hughes, Kai Shing Yu, Helen S Minnaar, Mark D Halling-Brown

Clin Transl Radiat Oncol· November 2024

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Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort.
Sam Ellis, Sandra Gomes, Matthew Trumble, Mark D Halling-Brown, Kenneth C Young

Radiol Artif Intell· July 2024

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Optimising the diagnostic accuracy of First post-contrAst SubtracTed breast MRI (FAST MRI) through interpretation-training: a multicentre e-learning study, mapping the learning curve of NHS Breast Screening Programme (NHSBSP) mammogram readers using an enriched dataset.
Lyn I Jones, Andrea Marshall, Rebecca Geach, Premkumar Elangovan, Elizabeth O'Flynn, Mark Halling-Brown

Breast Cancer Res· May 2024

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Lessons learned from independent external validation of an AI tool to detect breast cancer using a representative UK data set.
Dominic Cushnan, Kenneth C Young, Dominic Ward, Mark D Halling-Brown, Stephen Duffy

Br J Radiol· March 2023

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Evaluating the effectiveness of abbreviated breast MRI (abMRI) interpretation training for mammogram readers: a multi-centre study assessing diagnostic performance, using an enriched dataset.
Lyn I Jones, Andrea Marshall, Premkumar Elangovan, Rebecca Geach, Sadie McKeown-Keegan, Mark Halling-Brown

Breast Cancer Res· July 2022

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The relationship between age of digital mammography systems and number of reported faults and downtime.
Martha Stuffins, John Loveland, Mark Halling-Brown, Alistair Mackenzie

Phys Med· June 2022

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Erratum to: An overview of the National COVID-19 Chest Imaging Database: data quality and cohort analysis.
Dominic Cushnan, Oscar Bennett, Rosalind Berka, Ottavia Bertolli, Ashwin Chopra, Mark Halling-Brown

Gigascience· December 2021

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An overview of the National COVID-19 Chest Imaging Database: data quality and cohort analysis.
Dominic Cushnan, Oscar Bennett, Rosalind Berka, Ottavia Bertolli, Ashwin Chopra, Mark Halling-Brown

Gigascience· November 2021

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Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic.
Dominic Cushnan, Rosalind Berka, Ottavia Bertolli, Peter Williams, Daniel Schofield, Mark Halling-Brown

Digit Health· November 2021

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OPTIMAM Mammography Image Database: A Large-Scale Resource of Mammography Images and Clinical Data.
Mark D Halling-Brown, Lucy M Warren, Dominic Ward, Emma Lewis, Alistair Mackenzie

Radiol Artif Intell· January 2021

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Addendum: International evaluation of an AI system for breast cancer screening.
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, Jonathan Godwin, Natasha Antropova, Mark Halling-Brown

Nature· October 2020

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Using imaging to combat a pandemic: rationale for developing the UK National COVID-19 Chest Imaging Database.
Joseph Jacob, Daniel Alexander, J Kenneth Baillie, Rosalind Berka, Ottavia Bertolli, Mark Halling-Brown

Eur Respir J· August 2020

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The relationship between cancer detection in mammography and image quality measurements.
Alistair Mackenzie, Lucy M Warren, Matthew G Wallis, Rosalind M Given-Wilson, Julie Cooke, Mark D Halling-Brown

Phys Med· April 2016

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Breast cancer detection rates using four different types of mammography detectors.
Alistair Mackenzie, Lucy M Warren, Matthew G Wallis, Julie Cooke, Rosalind M Given-Wilson, Mark D Halling-Brown

Eur Radiol· March 2016

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The effect of image processing on the detection of cancers in digital mammography.
Lucy M Warren, Rosalind M Given-Wilson, Matthew G Wallis, Julie Cooke, Mark D Halling-Brown

AJR Am J Roentgenol· August 2014

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Objective assessment of cancer genes for drug discovery.
Mishal N Patel, Mark D Halling-Brown, Joseph E Tym, Paul Workman, Bissan Al-Lazikani

Nat Rev Drug Discov· January 2013

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canSAR: an integrated cancer public translational research and drug discovery resource.
Mark D Halling-Brown, Krishna C Bulusu, Mishal Patel, Joe E Tym, Bissan Al-Lazikani

Nucleic Acids Res· January 2012

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ImmunoGrid: towards agent-based simulations of the human immune system at a natural scale.
Mark Halling-Brown, Francesco Pappalardo, Nicolas Rapin, Ping Zhang, Davide Alemani

Philos Trans A Math Phys Eng Sci· June 2010

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Proteins accessible to immune surveillance show significant T-cell epitope depletion: Implications for vaccine design.
Mark Halling-Brown, Raheel Shaban, Dan Frampton, Clare E Sansom, Matthew Davies

Mol Immunol· August 2009

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A computational Grid framework for immunological applications.
Mark D Halling-Brown, David S Moss, Clare E Sansom, Adrian J Shepherd

Philos Trans A Math Phys Eng Sci· July 2009

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ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization.
Francesco Pappalardo, Mark D Halling-Brown, Nicolas Rapin, Ping Zhang, Davide Alemani

Brief Bioinform· May 2009

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Towards a lightweight generic computational grid framework for biological research.
Mark D Halling-Brown, David S Moss, Adrian J Shepherd

BMC Bioinformatics· October 2008

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