AB
Andrew P. Bradley
Also known as: Andrew Bradley, A.P. Bradley
Queensland University of Technology, Maxwell Plus, Australian Institute of Company Directors, The University of Queensland, Ausonex Pty Ltd, University of Plymouth
Research areas: Computer Science · Computer Vision and Pattern Recognition · Medical Image Segmentation Techniques · AI in cancer detection · Hearing, Cochlea, Tinnitus, Genetics
0000-0003-0109-6844
About
Associate Dean, Research
Science and Engineering Faculty (SEF)
Queensland University of Technology (QUT)
2 George Street
BRISBANE QLD 4000
Australia
Biomedical Engineering Researcher
Employment
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Queensland University of Technology (QUT) Associate Dean, Research2017 - Present
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Maxwell Plus Principal Biomedical Engineer2017 - 2017
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Ausonex Pty Ltd Chief Technology Officer2006 - 2011
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University of Queensland Professor of Biomedical Engineering2005 - 2016
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Cooperative Research Centre for Sensor Signal and Information Processing (CSSIP) Senior Research Fellow2002 - 2005
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Canon Information Systems Research Australia Pty Ltd Principal Research Engineer2002 - 2002
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University of New South Wales Senior Lecturer1999 - 2001
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Canon Information Systems Research Australia (CiSRA) Senior Research Engineer1997 - 1999
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University of Alberta Post-doctoral Fellow1996 - 1997
Education
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Australian Institute of Company Directors Diploma, Company Directors Course2018 - Present
- 1993 - 1996
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University of Plymouth BEng (Hons I)1986 - 1989
Projects & Funding
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Deep reinforcement learning for discovering and visualising biomarkers Australian Research Council2018 - 2020
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In-road microwave system for traffic monitoring and vehicle identification Australian Research Council2016 - 2018
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Predicting and Promoting Aphasia Recovery National Health and Medical Research Council2016 - 2019
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Automated analysis of multi-modal medical data using deep belief networks Australian Research Council2014 - 2016
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ARC Future Fellow Australian Research Council2011 - 2015
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Multi-modal virtual microscopy for quantitative diagnostic pathology Australian Research Council2011 - 2015
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Improved detection and characterisation of breast cancer using magnetic resonance imaging, and novel image analysis and pattern recognition techniques Australian Research Council2008 - 2010
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Infrastructure for an integrated cognitive neurophysiological research facility: Mapping the neurobiology of memory and language Australian Research Council2008 - 2008
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Multi-modal, Multi-dimensional Virtual Microscopy for Diagnostic Quantitative Pathology Australian Research Council2007 - 2009
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Improved early detection of breast cancer enabled by grid-computing and advanced modelling and visualisation of MR images Australian Research Council2005 - 2006
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ARC Network in Imaging Science and Technology Australian Research Council2003 - 2003
Publications (200)
- Interpretability of AI race detection model in medical imaging with saliency methods Save
- Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis Save
- Designing Interaction with AI for Human Learning Save
- Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures Save
- Comparison of independent, participant-led, high-resolution studies of pitch-matching in post-lingual single-sided cochlear implant recipients Save
- Bias Identification with RankPix Saliency Save
- Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective Save
- When to Use Augmentation - Variability Insufficient for Cortical Thickness Estimation Improvement Save
- Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods Save
- Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department Save
- Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely Save
- Deep learning in cancer diagnosis, prognosis and treatment selection Save
- Towards data-driven quantification of skin ageing using reflectance confocal microscopy Save
- Smocam Save
- A Comparison of Saliency Methods for Deep Learning Explainability Save
- Detail Matters Save
- Taking the Confusion Out of Multinomial Confusion Matrices and Imbalanced Classes Save
- Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI Save
- Investigation of the inherent left-right flow balancing of rotary total artificial hearts by means of a resistance box Save
- Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN Save