Mark D. Halling-Brown

According to our database, Mark D. Halling-Brown authored at least 12 papers between 2008 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

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, Matthew G. Wallis, Louise Wilkinson, Rosalind M. Given-Wilson, Rita McAvinchey, Kenneth C. Young

CoRR, 2020

2019

Changes in breast density.

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

Proceedings of the Medical Imaging 2019: Image Perception, 2019

Using transfer learning for a deep learning model observer.

W. Murphy, Premkumar Elangovan, Mark D. Halling-Brown, Emma Lewis, K. C. Young, David R. Dance, Kevin Wells

Proceedings of the Medical Imaging 2019: Image Perception, 2019

Using deep machine learning to detect esophageal lesions in PET-CT scans.

Ian Ackerley, Rhodri Smith, James W. Scuffham, Mark D. Halling-Brown, Emma Lewis, Emiliano Spezi, V. Prakash, Kevin Wells

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

2018

A Deep Learning Model Observer for use in Alterative Forced Choice Virtual Clinical Trials.

Majdi R. Alnowami, G. Mills, M. Awis, Premkumar Elangovan, Mishal N. Patel, Mark D. Halling-Brown, Kenneth Y. Young, David R. Dance, Kevin Wells

Proceedings of the Medical Imaging 2018: Image Perception, 2018

2016

Impact of two types of image processing on cancer detection in mammography.

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

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

2015

A Pilot Study on the Development of Remote Quality Control of Digital Mammography Systems in the NHS Breast Screening Programme.

Padraig T. Looney, Mark D. Halling-Brown, Jennifer M. Oduko, Kenneth C. Young

J. Digit. Imaging, 2015

2014

Mammographic Image Database (MIDB) and Associated Web-Enabled Software for Research.

Mark D. Halling-Brown, Padraig T. Looney, Mishal N. Patel, Lucy M. Warren, Alistair Mackenzie, Kenneth C. Young

Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

2012

canSAR: an integrated cancer public translational research and drug discovery resource.

Mark D. Halling-Brown, Krishna C. Bulusu, Mishal N. Patel, Joe E. Tym, Bissan Al-Lazikani

Nucleic Acids Res., 2012

2009

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, 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

Briefings Bioinform., 2009

The ImmunoGrid Simulator: How to Use It.

Francesco Pappalardo, Mark D. Halling-Brown, Marzio Pennisi, Ferdinando Chiacchio, Clare Sansom, Adrian J. Shepherd, David S. Moss, Santo Motta, Vladimir Brusic

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

2008

Towards a lightweight generic computational grid framework for biological research.

Mark D. Halling-Brown, David S. Moss, Adrian J. Shepherd

BMC Bioinform., 2008