Bradley, Andrew P.

The use of the area under the ROC curve in the evaluation of machine learning algorithms

Bradley, A. P. (1997) · Pattern Recognition

Imbalanced Data Classification TechniquesArtificial Intelligence in Healthcare

Cited by 7,217

Deep learning in cancer diagnosis, prognosis and treatment selection

Tran, K. A., Kondrashova, O., Bradley, A., Williams, E. D., Pearson, J. V., & Waddell, N. (2021) · Genome Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 932

Intelligible Support Vector Machines for Diagnosis of Diabetes Mellitus

Barakat, N., Bradley, A. P., & Barakat, M. N. H. (2010) · IEEE Transactions on Information Technology in Biomedicine

Artificial Intelligence in HealthcareExplainable Artificial Intelligence (XAI)

Cited by 367

Precision radiology: predicting longevity using feature engineering and deep learning methods in a radiomics framework

Oakden-Rayner, L., Carneiro, G., Bessen, T., Nascimento, J. C., Bradley, A. P., & Palmer, L. J. (2017) · Scientific Reports

Radiomics and Machine Learning in Medical ImagingMachine Learning in Healthcare

Cited by 154

Denoising of Dynamic Contrast-Enhanced MR Images Using Dynamic Nonlocal Means

Gal, Y., Mehnert, A. J. H., Bradley, A. P., McMahon, K., Kennedy, D., & Crozier, S. (2010) · IEEE Transactions on Medical Imaging

Image and Signal Denoising MethodsMRI in cancer diagnosis

Cited by 78