| 2023 | ICASSP | Bias Identification with RankPix Saliency. | Salamata Konate, Lo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Andrew P. Bradley, Olivier Salvado |
| 2023 | ICML | Never mind the metrics - what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective. | David R. Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley |
| 2023 | OZCHI | Designing Interaction with AI for Human Learning: Towards Human-Machine Teaming in Radiology Training. | Margot Brereton, Aloha May Hufana Ambe, David R. Lovell, Laurianne Sitbon, Tara Capel, Alessandro Soro, Yue Xu, Catarina Moreira, Benot Favre, Andrew P. Bradley |
| 2022 | MICCAI | Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely. | Filip Rusak, Rodrigo Santa Cruz, Elliot Smith, Jurgen Fripp, Clinton Fookes, Pierrick Bourgeat, Andrew P. Bradley |
| 2021 | AusDM | Taking the Confusion Out of Multinomial Confusion Matrices and Imbalanced Classes. | David Lovell, Bridget McCarron, Brendan Langfield, Khoa Tran, Andrew P. Bradley |
| 2021 | DICTA | A Comparison of Saliency Methods for Deep Learning Explainability. | Salamata Konate, Lo Lebrat, Rodrigo Santa Cruz, Elliot Smith, Andrew P. Bradley, Clinton Fookes, Olivier Salvado |
| 2021 | MICCAI | Detail Matters: High-Frequency Content for Realistic Synthetic MRI Generation. | Filip Rusak, Rodrigo Santa Cruz, Elliot Smith, Jurgen Fripp, Clinton Fookes, Pierrick Bourgeat, Andrew P. Bradley |
| 2020 | MICCAI | 3D Brain MRI GAN-Based Synthesis Conditioned on Partial Volume Maps. | Filip Rusak, Rodrigo Santa Cruz, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Andrew P. Bradley, Olivier Salvado |
| 2018 | MICCAI | Training Medical Image Analysis Systems like Radiologists. | Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro |
| 2018 | MICCAI | How to Exploit Weaknesses in Biomedical Challenge Design and Organization. | Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic, Bennett A. Landman, Oskar Maier, Bjoern H. Menze, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Fons van der Sommen, Guoyan Zheng, Henning Mller, Michal Kozubek, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein |
| 2017 | ICIP | Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features. | Jaime S. Cardoso, Nuno Marques, Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley |
| 2017 | MICCAI | Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI. | Gabriel Maicas, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid |
| 2016 | MICCAI | The Automated Learning of Deep Features for Breast Mass Classification from Mammograms. | Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley |
| 2015 | DICTA | Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests. | Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley |
| 2015 | DICTA | Anatomical Skin Segmentation in Reflectance Confocal Microscopy with Weak Labels. | Samuel C. Hames, Marco Ardig, H. Peter Soyer, Andrew P. Bradley, Tarl W. Prow |
| 2015 | DICTA | Expectation-Maximization with Image-Weighted Markov Random Fields to Handle Severe Pathology. | Alex M. Pagnozzi, Nicholas D. H. Dowson, Andrew P. Bradley, Roslyn N. Boyd, Pierrick Bourgeat, Stephen E. Rose |
| 2015 | ICASSP | Multiple instance learning for breast MRI based on generic spatio-temporal features. | Fahira Afzal Maken, Andrew P. Bradley |
| 2015 | ICASSP | Spectral properties of neuronal pulse interval modulation. | John J. Varghese, Kristian J. Weegink, P. A. Bellette, Andrew P. Bradley |
| 2015 | ICASSP | Spikes from compound action potentials in simulated microelectrode recordings. | Kristian J. Weegink, John J. Varghese, Andrew P. Bradley |
| 2015 | ICIP | Deep structured learning for mass segmentation from mammograms. | Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley |
| 2015 | MICCAI | Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models. | Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley |
| 2015 | MICCAI | Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms. | Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley |
| 2014 | DICTA | Multiple Instance Learning for Breast Cancer Magnetic Resonance Imaging. | Fahira A. Maken, Yaniv Gal, Darryl McClymont, Andrew P. Bradley |
| 2013 | CAIP | Illumination Effects in Quantitative Virtual Microscopy. | Doreen Altinay, Andrew P. Bradley |
| 2013 | DICTA | Performance Analysis of Three Microscope Slide Scanning Techniques. | Yilun Fan, Yaniv Gal, Andrew P. Bradley |
| 2013 | MICCAI | Automated Nucleus and Cytoplasm Segmentation of Overlapping Cervical Cells. | Zhi Lu, Gustavo Carneiro, Andrew P. Bradley |
| 2012 | DICTA | A Comparison of Multiple Instance and Group Based Learning. | Steven D. Brossi, Andrew P. Bradley |
| 2012 | IJCNN | Enhancing the classification accuracy of Steady-State Visual Evoked Potential-based Brain-Computer Interface using Component Synchrony Measure. | Kian B. Ng, Ross Cunnington, Andrew P. Bradley |
| 2011 | DICTA | An Evaluation of Multi-resolution Microscope Slide Scanning Algorithms. | Doreen Altinay, Andrew P. Bradley |
| 2010 | DICTA | On the Estimation of Extrinsic and Intrinsic Parameters of Optical Microscope Calibration. | Doreen Altinay, Andrew P. Bradley, Andrew Mehnert |
| 2009 | DICTA | Feature and Classifier Selection for Automatic Classification of Lesions in Dynamic Contrast-Enhanced MRI of the Breast. | Yaniv Gal, Andrew Mehnert, Andrew P. Bradley, Dominic Kennedy, Stuart Crozier |
| 2008 | ICIP | Mixed content image compression by gradient field integration. | Peter W. M. Ilbery, David Taubman, Andrew P. Bradley |
| 2008 | ICPR | Group-based meta-classification. | Noor Azah Samsudin, Andrew P. Bradley |
| 2007 | DICTA | Automatic Segmentation of Enhancing Breast Tissue in Dynamic Contrast-Enhanced MR Images. | Yaniv Gal, Andrew Mehnert, Andrew P. Bradley, Kerry McMahon, Stuart Crozier |
| 2007 | IWDW | A Comparison of DCT and DWT Block Based Watermarking on Medical Image Quality. | Jason Dowling, Birgit M. Planitz, Anthony J. Maeder, Jiang Du, Binh Pham, Colin Boyd, Shaokang Chen, Andrew P. Bradley, Stuart Crozier |
| 2006 | ICASSP | Estimation Of Epipolar Geometry Via The Radon Transform. | Stefan Lehmann, Andrew P. Bradley, I. Vaughan L. Clarkson |
| 2006 | ICPR | Rule Extraction from Support Vector Machines: Measuring the Explanation Capability Using the Area under the ROC Curve. | Nahla H. Barakat, Andrew P. Bradley |
| 2005 | DICTA | Towards Optimal Image Stitching for Virtual Microscopy. | Ben Appleton, Andrew P. Bradley, Michael Wildermoth |
| 2005 | DICTA | Virtual Microscopy with Extended Depth of Field. | Andrew P. Bradley, Michael Wildermoth, Paul Mills |
| 2004 | ICPR | Sample Size Estimation using the Receiver Operating Characteristic Curve. | Andrew P. Bradley, I. Dennis Longstaff |
| 2003 | DICTA | Shift-invariance in the Discrete Wavelet Transform. | Andrew P. Bradley |