Mark D. Halling-Brown

13 papers Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Technical specification of a framework for the collection of clinical images and data.
CoRR
Alistair Mackenzie, Mark D. Halling-Brown, Ruben E. van Engen, Carlijn Roozemond, Lucy M. Warren, Dominic Ward, Nadia Smith
2020 J jnl
OPTIMAM Mammography Image Database: a large scale resource of mammography images and clinical data.
CoRR
Mark D. Halling-Brown, Lucy M. Warren, Dominic Ward, Emma Lewis, Alistair Mackenzie, Matthew G. Wallis, Louise Wilkinson, Rosalind M. Given-Wilson, Rita McAvinchey, Kenneth C. Young
2019 — conf
Changes in breast density.
Image Perception, Observer Performance, and Technology Assessment
Lucy M. Warren, Mark D. Halling-Brown, Louise S. Wilkinson, Rosalind M. Given-Wilson, Rita McAvinchey, Matthew G. Wallis, David R. Dance, K. C. Young
2019 — conf
Using deep machine learning to detect esophageal lesions in PET-CT scans.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Ian Ackerley, Rhodri Smith, James W. Scuffham, Mark D. Halling-Brown, Emma Lewis, Emiliano Spezi, V. Prakash, Kevin Wells
2019 — conf
Using transfer learning for a deep learning model observer.
Image Perception, Observer Performance, and Technology Assessment
W. Murphy, Premkumar Elangovan, Mark D. Halling-Brown, Emma Lewis, K. C. Young, David R. Dance, Kevin Wells
2018 — conf
A Deep Learning Model Observer for use in Alterative Forced Choice Virtual Clinical Trials.
Image Perception, Observer Performance, and Technology Assessment
Majdi R. Alnowami, G. Mills, M. Awis, Premkumar Elangovan, Mishal N. Patel, Mark D. Halling-Brown, Kenneth Y. Young, David R. Dance, Kevin Wells
2016 — conf
Impact of two types of image processing on cancer detection in mammography.
Image Perception, Observer Performance, and Technology Assessment
Lucy M. Warren, Mark D. Halling-Brown, Padraig T. Looney, David R. Dance, Louise Wilkinson, Matthew G. Wallis, Rosalind M. Given-Wilson, Julie Cooke, Rita McAvinchey, Kenneth C. Young
2015 J jnl
A Pilot Study on the Development of Remote Quality Control of Digital Mammography Systems in the NHS Breast Screening Programme.
J. Digit. Imaging
Padraig T. Looney, Mark D. Halling-Brown, Jennifer M. Oduko, Kenneth C. Young
2014 — conf
Mammographic Image Database (MIDB) and Associated Web-Enabled Software for Research.
Digital Mammography / IWDM
Mark D. Halling-Brown, Padraig T. Looney, Mishal N. Patel, Lucy M. Warren, Alistair Mackenzie, Kenneth C. Young
2012 J jnl
canSAR: an integrated cancer public translational research and drug discovery resource.
Nucleic Acids Res.
Mark D. Halling-Brown, Krishna C. Bulusu, Mishal N. Patel, Joe E. Tym, Bissan Al-Lazikani
2009 J jnl
ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization.
Briefings Bioinform.
Francesco Pappalardo, Mark D. Halling-Brown, Nicolas Rapin, Ping Zhang, Davide Alemani, Andrew P. J. Emerson, Paola Paci, Patrice Duroux, Marzio Pennisi, Arianna Palladini, Olivo Miotto, Daniel Churchill, Elda Rossi, Adrian J. Shepherd, David S. Moss, Filippo Castiglione, Massimo Bernaschi, Marie-Paule Lefranc, Søren Brunak, Santo Motta, Pierluigi Lollini, Kaye E. Basford, Vladimir Brusic
2009 — conf
The ImmunoGrid Simulator: How to Use It.
CIBB
Francesco Pappalardo, Mark D. Halling-Brown, Marzio Pennisi, Ferdinando Chiacchio, Clare Sansom, Adrian J. Shepherd, David S. Moss, Santo Motta, Vladimir Brusic
2008 J jnl
Towards a lightweight generic computational grid framework for biological research.
BMC Bioinform.
Mark D. Halling-Brown, David S. Moss, Adrian J. Shepherd