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Andrew P. Bradley
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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
89341997
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS …
MJ Cardoso, T Arbel, G Carneiro, T Syeda-Mahmood, JMRS Tavares, ...
Springer, 2017
7952017
Deep learning in cancer diagnosis, prognosis and treatment selection
KA Tran, O Kondrashova, A Bradley, ED Williams, JV Pearson, N Waddell
Genome Medicine 13, 1-17, 2021
6142021
Perceptual quality metrics applied to still image compression
MP Eckert, AP Bradley
Signal processing 70 (3), 177-200, 1998
4881998
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
4862010
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
3932017
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), 5217, 2018
3622018
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
3592015
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
3032015
Face detection in digital images
E Ho, AJ Lennon, AP Bradley
US Patent 6,661,907, 2003
276*2003
Rule extraction from support vector machines: a review
N Barakat, AP Bradley
Neurocomputing 74 (1-3), 178-190, 2010
2752010
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
2702015
A wavelet visible difference predictor
AP Bradley
IEEE Transactions on image processing 8 (5), 717-730, 1999
2451999
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
2242017
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
2122015
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), 1648, 2017
1852017
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
1782016
Shift-invariance in the discrete wavelet transform
AP Bradley
Proceedings of VIIth Digital Image Computing: Techniques and Applications …, 2003
1772003
The automated learning of deep features for breast mass classification from mammograms
N Dhungel, G Carneiro, AP Bradley
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
1762016
Rule extraction from support vector machines: A sequential covering approach
NH Barakat, AP Bradley
IEEE Transactions on Knowledge and Data Engineering 19 (6), 729-741, 2007
1452007
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