B. Michael Kelm
According to our database1,
B. Michael Kelm
authored at least 24 papers
between 2006 and 2016.
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Bibliography
2016
Diagnostic Usefulness of Synthetic MMG (SMMG) with DBT (Digital Breast Tomosynthesis) for Clinical Setting in Breast Cancer Screening.
Proceedings of the Breast Imaging, 2016
2015
IEEE Trans. Medical Imaging, 2015
Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015).
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
2014
Improving accuracy in coronary lumen segmentation via explicit calcium exclusion, learning-based ray detection and surface optimization.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014).
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2013
Medical Image Anal., 2013
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Data-Driven Breast Decompression and Lesion Mapping from Digital Breast Tomosynthesis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012
2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010
2009
Estimating Kinetic Parameter Maps From Dynamic Contrast-Enhanced MRI Using Spatial Prior Knowledge.
IEEE Trans. Medical Imaging, 2009
A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data.
BMC Bioinform., 2009
2007
Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields.
Proceedings of the Pattern Recognition, 2007
2006
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
From Eigenspots to Fisherspots - Latent Spaces in the Nonlinear Detection of Spot Patterns in a Highly Varying Background.
Proceedings of the Advances in Data Analysis, 2006
Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
Machine-Based Rejection of Low-Quality Spectra and Estimation of Brain Tumor Probabilities from Magnetic Resonance Spectroscopic Images.
Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006
CLARET: A Tool for Fully Automated Evaluation of MRSI with Pattern Recognition Methods.
Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006