Mark D. Halling-Brown - School of Crystallography, Birkbeck College

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论文共 67 篇作者统计合作学者相似作者

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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,Nouman S Chaudhry, Peter Harris,Lucy M Warren

Radiology. Artificial intelligencepp.e230431-e230431, (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,Rosalind Given-Wilson,Matthew G Wallis,Louise Wilkinson,Iain Lyburn,Richard Sidebottom,Rita McAvinchey,Emma B Lewis,

Br J Radiol（2023）

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FAST MRI interpretation-training: Using formative assessment to map the learning curve of multi-professional NHS breast screening programme (NHSBSP) mammogram-readers and to optimise diagnostic accuracy for FAST MRI (grant-funded by the National Breast Imaging Academy)

Lyn Jones,Andrea Marshall,Rebecca Geach, Tony Timlin,Elizabeth O'Flynn,Sadie McKeown-Keegan,Sarah Vinnicombe,Sian Taylor-Phillips,Mark Halling-Brown,Janet Dunn

BREAST CANCER RESEARCH (2023)

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Evaluation of an AI tool to measure mammographic density for use in a future FAST MRI trial

Sandra Gomes,Mark Halling-Brown,Ken Young, Matthew Trumble,Lyn Jones, Katherine Klimczak, Jan Rose, Tony Timlin,Lucy Warren

BREAST CANCER RESEARCH (2023)

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Contact X-Ray Brachytherapy for Early Rectal Cancer: A Review of Outcomes From a Single UK Centre

J. Steinke, H. Minnaar, A. P. Franklin, J. Yu, P. Baird,M. Halling-Brown, M. Trumble, N. Patel,C. Jordan, S. Rossides,L. Wang, R. Ratnakumaran,

Clinical Oncology（2023）

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Multiorgan MRI findings after hospitalisation with COVID-19 in the UK (C-MORE): a prospective, multicentre, observational cohort study

Betty Raman,Celeste McCracken, Mark P. Cassar,Alastair J. Moss,Lucy Finnigan, Azlan Helmy A. Samat, Godwin Ogbole,Elizabeth M. Tunnicliffe,Fidel Alfaro-Almagro, Ricarda Menke,Cheng Xie,Fergus Gleeson,

The Lancet. Respiratory medicineno. 11 (2023): 1003-1019

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Development of phantoms for protocol optimisation and quality assurance testing for a multi-centre abbreviated magnetic resonance imaging breast study

Sian Curtis, Holly Elbert, Jonathon Delve, Sam Stewart-Maggs,Anna Wang, Liz O'Flynn,Sadie McKeown-Keegan,Maria Schmidt,Mark Halling-Brown,Lyn Jones

BREAST CANCER RESEARCH (2023)

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Enabling AI research, development and validation using the OPTIMAM mammography imaging database (OMI-DB)

Dominic Ward,Lucy Warren, Zahida Zahoor, Andrew Joiner,Alistair Mackenzie,Emma Lewis,Ken Young,Mark Halling-Brown

BREAST CANCER RESEARCH (2023)

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The relationship between age of digital mammmogrpahy systems and number of reported faults and downtime

Martha Stuffins,John Loveland,Mark Halling-Brown,Alistair Mackenzie

Physica Medica (2022): 113-121

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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,Sarah Vinnicombe,Sam A. Harding,Sian Taylor-Phillips,Mark Halling-Brown,Christopher Foy,Elizabeth O’Flynn,Hesam Ghiasvand,

Breast Cancer Res（2022）

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