Follow
Andrew P. Bradley
Andrew P. Bradley
Queensland University of Technology
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
The use of the area under the ROC curve in the evaluation of machine learning algorithms
AP Bradley
Pattern recognition 30 (7), 1145-1159, 1997
66151997
Perceptual quality metrics applied to still image compression
MP Eckert, AP Bradley
Signal processing 70 (3), 177-200, 1998
4661998
Intelligible support vector machines for diagnosis of diabetes mellitus
N Barakat, AP Bradley, MNH Barakat
IEEE transactions on information technology in biomedicine 14 (4), 1114-1120, 2010
3732010
Unregistered multiview mammogram analysis with pre-trained deep learning models
G Carneiro, J Nascimento, AP Bradley
International Conference on Medical Image Computing and Computer-Assisted …, 2015
2762015
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS …
D Stoyanov, Z Taylor, G Carneiro, T Syeda-Mahmood, A Martel, ...
Springer, 2018
2642018
A deep learning approach for the analysis of masses in mammograms with minimal user intervention
N Dhungel, G Carneiro, AP Bradley
Medical image analysis 37, 114-128, 2017
2612017
Face detection in digital images
E Ho, AJ Lennon, AP Bradley
US Patent 6,661,907, 2003
258*2003
A wavelet visible difference predictor
AP Bradley
IEEE Transactions on image processing 8 (5), 717-730, 1999
2381999
Rule extraction from support vector machines: a review
N Barakat, AP Bradley
Neurocomputing 74 (1-3), 178-190, 2010
2282010
Automated mass detection in mammograms using cascaded deep learning and random forests
N Dhungel, G Carneiro, AP Bradley
2015 international conference on digital image computing: techniques and …, 2015
2272015
An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cells
Z Lu, G Carneiro, AP Bradley
IEEE Transactions on Image Processing 24 (4), 1261-1272, 2015
1902015
Why rankings of biomedical image analysis competitions should be interpreted with care
L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ...
Nature communications 9 (1), 1-13, 2018
188*2018
Shift-invariance in the discrete wavelet transform
AP Bradley
Proceedings of VIIth Digital Image Computing: Techniques and Applications …, 2003
1712003
Deep learning and structured prediction for the segmentation of mass in mammograms
N Dhungel, G Carneiro, AP Bradley
International Conference on Medical image computing and computer-assisted …, 2015
1532015
Automated analysis of unregistered multi-view mammograms with deep learning
G Carneiro, J Nascimento, AP Bradley
IEEE transactions on medical imaging 36 (11), 2355-2365, 2017
1322017
Precision radiology: predicting longevity using feature engineering and deep learning methods in a radiomics framework
L Oakden-Rayner, G Carneiro, T Bessen, JC Nascimento, AP Bradley, ...
Scientific reports 7 (1), 1-13, 2017
1292017
The automated learning of deep features for breast mass classification from mammograms
N Dhungel, G Carneiro, AP Bradley
International Conference on Medical Image Computing and Computer-Assisted …, 2016
1272016
Precision-recall operating characteristic (P-ROC) curves in imprecise environments
TCW Landgrebe, P Paclik, RPW Duin, AP Bradley
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on 4 …, 2006
120*2006
JPEG 2000 and region of interest coding
AP Bradley, FWM Stentiford
Digital Image Computing Techniques and Applications 2, 1-6, 2002
1182002
Evaluation of three algorithms for the segmentation of overlapping cervical cells
Z Lu, G Carneiro, AP Bradley, D Ushizima, MS Nosrati, AGC Bianchi, ...
IEEE journal of biomedical and health informatics 21 (2), 441-450, 2016
1172016
The system can't perform the operation now. Try again later.
Articles 1–20