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Journal Articles
- 2015
[j4]Padraig T. Looney, Mark D. Halling-Brown
, Jennifer M. Oduko, Kenneth C. Young:
A Pilot Study on the Development of Remote Quality Control of Digital Mammography Systems in the NHS Breast Screening Programme. J. Digit. Imaging 28(5): 586-593 (2015)- 2012
- [j3]Mark D. Halling-Brown, Krishna C. Bulusu, Mishal N. Patel, Joe E. Tym, Bissan Al-Lazikani:
canSAR: an integrated cancer public translational research and drug discovery resource. Nucleic Acids Res. 40(Database-Issue): 947-956 (2012) - 2009
- [j2]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:
ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization. Briefings Bioinform. 10(3): 330-340 (2009) - 2008
- [j1]Mark D. Halling-Brown, David S. Moss, Adrian J. Shepherd:
Towards a lightweight generic computational grid framework for biological research. BMC Bioinform. 9 (2008)
Conference and Workshop Papers
- 2019
- [c7]Ian Ackerley, Rhodri Smith, James W. Scuffham, Mark D. Halling-Brown, Emma Lewis, Emiliano Spezi, V. Prakash, Kevin Wells:
Using deep machine learning to detect esophageal lesions in PET-CT scans. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530S - [c6]W. Murphy, Premkumar Elangovan, Mark D. Halling-Brown, Emma Lewis, K. C. Young, David R. Dance, Kevin Wells:
Using transfer learning for a deep learning model observer. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 109520E - [c5]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:
Changes in breast density. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 109520W - 2018
- [c4]Majdi R. Alnowami, G. Mills, M. Awis, Premkumar Elangovan, Mishal N. Patel, Mark D. Halling-Brown, Kenneth Y. Young, David R. Dance, Kevin Wells:
A Deep Learning Model Observer for use in Alterative Forced Choice Virtual Clinical Trials. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770Q - 2016
- [c3]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:
Impact of two types of image processing on cancer detection in mammography. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 978704 - 2014
- [c2]Mark D. Halling-Brown, Padraig T. Looney, Mishal N. Patel, Lucy M. Warren, Alistair Mackenzie, Kenneth C. Young:
Mammographic Image Database (MIDB) and Associated Web-Enabled Software for Research. Digital Mammography / IWDM 2014: 514-519 - 2009
- [c1]Francesco Pappalardo, Mark D. Halling-Brown, Marzio Pennisi, Ferdinando Chiacchio, Clare Sansom, Adrian J. Shepherd, David S. Moss, Santo Motta, Vladimir Brusic:
The ImmunoGrid Simulator: How to Use It. CIBB 2009: 1-19
Informal and Other Publications
- 2020
- [i1]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:
OPTIMAM Mammography Image Database: a large scale resource of mammography images and clinical data. CoRR abs/2004.04742 (2020)
Coauthor Index
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