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Andrew P. Bradley
Andrew P. Bradley
University of the Sunshine Coast
Adresă de e-mail confirmată pe ieee.org - Pagina de pornire
Titlu
Citat de
Citat de
Anul
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
73361997
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
4842018
Perceptual quality metrics applied to still image compression
MP Eckert, AP Bradley
Signal processing 70 (3), 177-200, 1998
4761998
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
4162010
Unregistered multiview mammogram analysis with pre-trained deep learning models
G Carneiro, J Nascimento, AP Bradley
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015
3092015
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
3042017
Face detection in digital images
E Ho, AJ Lennon, AP Bradley
US Patent 6,661,907, 2003
267*2003
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
2572015
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
2462018
A wavelet visible difference predictor
AP Bradley
IEEE Transactions on image processing 8 (5), 717-730, 1999
2421999
Rule extraction from support vector machines: a review
N Barakat, AP Bradley
Neurocomputing 74 (1-3), 178-190, 2010
2382010
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
2242015
Deep learning and structured prediction for the segmentation of mass in mammograms
N Dhungel, G Carneiro, AP Bradley
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
1742015
Shift-invariance in the discrete wavelet transform
AP Bradley
Proceedings of VIIth Digital Image Computing: Techniques and Applications …, 2003
1682003
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
1632017
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), 1-17, 2021
1522021
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
1512016
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
1482017
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
1342016
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
1282007
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