Andrew P. Bradley

According to our database1, Andrew P. Bradley authored at least 76 papers between 1996 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI.
CoRR, 2018

Model Agnostic Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI.
CoRR, 2018

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.
CoRR, 2018

Producing radiologist-quality reports for interpretable artificial intelligence.
CoRR, 2018

Training Medical Image Analysis Systems like Radiologists.
CoRR, 2018

1st MICCAI workshop on deep learning in medical image analysis.
CMBBE: Imaging & Visualization, 2018


Training Medical Image Analysis Systems like Radiologists.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Combining Deep Learning and Structured Prediction for Segmenting Masses in Mammograms.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning.
IEEE Trans. Med. Imaging, 2017

Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells.
IEEE J. Biomedical and Health Informatics, 2017

A deep learning approach for the analysis of masses in mammograms with minimal user intervention.
Medical Image Analysis, 2017

Detecting hip fractures with radiologist-level performance using deep neural networks.
CoRR, 2017

Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Multi-scale mass segmentation for mammograms via cascaded random forests.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Globally optimal breast mass segmentation from DCE-MRI using deep semantic segmentation as shape prior.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Fully automated classification of mammograms using deep residual neural networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions1.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
Automated Detection of Individual Micro-calcifications from Mammograms using a Multi-stage Cascade Approach.
CoRR, 2016

Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography.
CoRR, 2016

The Automated Learning of Deep Features for Breast Mass Classification from Mammograms.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
An Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells.
IEEE Trans. Image Processing, 2015

Segmentation of skin strata in reflectance confocal microscopy depth stacks.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Tree RE-weighted belief propagation using deep learning potentials for mass segmentation from mammograms.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Deep structured learning for mass segmentation from mammograms.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Spikes from compound action potentials in simulated microelectrode recordings.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Spectral properties of neuronal pulse interval modulation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Multiple instance learning for breast MRI based on generic spatio-temporal features.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Expectation-Maximization with Image-Weighted Markov Random Fields to Handle Severe Pathology.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Anatomical Skin Segmentation in Reflectance Confocal Microscopy with Weak Labels.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

2014
Half-AUC for the evaluation of sensitive or specific classifiers.
Pattern Recognition Letters, 2014

Deep Structured learning for mass segmentation from Mammograms.
CoRR, 2014

Extended Naïve Bayes for Group Based Classification.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014

Microscopic specimen delineation using auto-phase correlation index.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Characterization of movements during restless sleep in children: A pilot study.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Multiple Instance Learning for Breast Cancer Magnetic Resonance Imaging.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

2013
ROC curve equivalence using the Kolmogorov-Smirnov test.
Pattern Recognition Letters, 2013

Evaluation of a morphological filter in mean cardiac output determination: application to left ventricular assist devices.
Med. Biol. Engineering and Computing, 2013

Automated Nucleus and Cytoplasm Segmentation of Overlapping Cervical Cells.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Effect of posterized naturalistic stimuli on SSVEP-based BCI.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Performance Analysis of Three Microscope Slide Scanning Techniques.
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Illumination Effects in Quantitative Virtual Microscopy.
Proceedings of the Computer Analysis of Images and Patterns, 2013

2012
Enhancing the classification accuracy of Steady-State Visual Evoked Potential-based Brain-Computer Interface using Component Synchrony Measure.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A Comparison of Multiple Instance and Group Based Learning.
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

2011
Effect of competing stimuli on SSVEP-based BCI.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

An Evaluation of Multi-resolution Microscope Slide Scanning Algorithms.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Investigation of the non-Markovity Spectrum as a Cognitive Processing Measure of Deep Brain Microelectrode Recordings.
Proceedings of the BIOSIGNALS 2011, 2011

2010
Denoising of Dynamic Contrast-Enhanced MR Images Using Dynamic Nonlocal Means.
IEEE Trans. Med. Imaging, 2010

Intelligible support vector machines for diagnosis of diabetes mellitus.
IEEE Trans. Information Technology in Biomedicine, 2010

Nearest neighbour group-based classification.
Pattern Recognition, 2010

Rule extraction from support vector machines: A review.
Neurocomputing, 2010

On the Estimation of Extrinsic and Intrinsic Parameters of Optical Microscope Calibration.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

2009
The Effect of Domain Knowledge on Rule Extraction from Support Vector Machines.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Feature and Classifier Selection for Automatic Classification of Lesions in Dynamic Contrast-Enhanced MRI of the Breast.
Proceedings of the DICTA 2009, 2009

2008
Group-based meta-classification.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Rule Extraction from Support Vector Machines: A Sequential Covering Approach.
IEEE Trans. Knowl. Data Eng., 2007

Correspondence-Free Determination of the Affine Fundamental Matrix.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

A Comparison of DCT and DWT Block Based Watermarking on Medical Image Quality.
Proceedings of the Digital Watermarking, 6th International Workshop, 2007

Automatic Segmentation of Enhancing Breast Tissue in Dynamic Contrast-Enhanced MR Images.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007

2006
Rule Extraction from Support Vector Machines: Measuring the Explanation Capability Using the Area under the ROC Curve.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Estimation Of Epipolar Geometry Via The Radon Transform.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Virtual Microscopy with Extended Depth of Field.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2005

Towards Optimal Image Stitching for Virtual Microscopy.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2005

2004
Sample Size Estimation using the Receiver Operating Characteristic Curve.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Visual attention for region of interest coding in JPEG 2000.
J. Visual Communication and Image Representation, 2003

Shift-invariance in the Discrete Wavelet Transform.
Proceedings of the Seventh International Conference on Digital Image Computing: Techniques and Applications, 2003

1999
A wavelet visible difference predictor.
IEEE Trans. Image Processing, 1999

1998
Perceptual quality metrics applied to still image compression.
Signal Processing, 1998

1997
The use of the area under the ROC curve in the evaluation of machine learning algorithms.
Pattern Recognition, 1997

1996
ROC curves and the X2 test.
Pattern Recognition Letters, 1996

The Multiscale Classifier.
IEEE Trans. Pattern Anal. Mach. Intell., 1996


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