Mark D Halling-Brown (Mark Halling-Brown)

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 6

Top Topics

Breast Cancer Risk

Convolutional Neural Network

Top Venues

Radiology. Artificial intelligence

This page only lists publications with an associated author ORCID identifier.

Publications

Sam Ellis, Sandra Gomes, Matthew Trumble, Mark D Halling-Brown, Kenneth C Young, Nouman S Chaudhry, Peter Harris, Lucy M Warren
Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort. Radiology. Artificial intelligence (2024)
Sam Ellis, Sandra Gomes, Matthew Trumble, Mark D Halling-Brown, Kenneth C Young, Nouman S Chaudhry, Peter Harris, Lucy M Warren
Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort. Radiology. Artificial intelligence 6 (4) (2024)
Sam Ellis, Sandra Gomes, Matthew Trumble, Mark D Halling-Brown, Kenneth C Young, Nouman S Chaudhry, Peter Harris, Lucy M Warren
Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort. Radiology. Artificial intelligence 6 (4) (2024)
Sam Ellis, Sandra Gomes, Matthew Trumble, Mark D Halling-Brown, Kenneth C Young, Nouman S Chaudhry, Peter Harris, Lucy M Warren
Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort. Radiology. Artificial intelligence 6 (4) (2024)
Dominic Cushnan, Oscar Bennett, Rosalind Berka, Ottavia Bertolli, Ashwin Chopra, Samie Dorgham, Alberto Favaro, Tara Ganepola, Mark D Halling-Brown, Gergely Imreh, Joseph Jacob, Emily R Jefferson, François Lemarchand, Daniel Schofield, Jeremy C Wyatt, null null
An overview of the National COVID-19 Chest Imaging Database: data quality and cohort analysis. GigaScience 10 (11) (2021)
Mark D Halling-Brown, Lucy M Warren, Dominic Ward, Emma Lewis, Alistair Mackenzie, Matthew G Wallis, Louise S Wilkinson, Rosalind M Given-Wilson, Rita McAvinchey, Kenneth C Young
OPTIMAM Mammography Image Database: A Large-Scale Resource of Mammography Images and Clinical Data. Radiology. Artificial intelligence 3 (1) (2020)