Markus B. Huber
Affiliations:- University of Rochester, Department of Imaging Sciences, USA
According to our database1,
Markus B. Huber
authored at least 16 papers
between 2010 and 2015.
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Bibliography
2015
Volumetric quantitative characterization of human patellar cartilage with topological and geometrical features on phase-contrast X-ray computed tomography.
Medical Biol. Eng. Comput., 2015
Volumetric characterization of human patellar cartilage matrix on phase contrast x-ray computed tomography.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
2014
Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression.
J. Electronic Imaging, 2014
Computer-Aided Diagnosis for Phase-Contrast X-ray Computed Tomography: Quantitative Characterization of Human Patellar Cartilage with High-Dimensional Geometric Features.
J. Digit. Imaging, 2014
Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology.
Artif. Intell. Medicine, 2014
2013
Computer-Aided Diagnosis in Phase Contrast Imaging X-Ray Computed Tomography for Quantitative Characterization of ex vivo Human Patellar Cartilage.
IEEE Trans. Biomed. Eng., 2013
Classification of small lesions in dynamic breast MRI: eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement.
Mach. Vis. Appl., 2013
2012
Texture feature ranking with relevance learning to classify interstitial lung disease patterns.
Artif. Intell. Medicine, 2012
Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
2011
Prediction of Biomechanical Properties of Trabecular Bone in MR Images With Geometric Features and Support Vector Regression.
IEEE Trans. Biomed. Eng., 2011
Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Lesion classification on breast MRI through topological characterization of morphology over time.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Estimating local scaling properties for the classification of interstitial lung disease patterns.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Texture feature selection with relevance learning to classify interstitial lung disease patterns.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2010
Analysis of breast lesions on contrast-enhanced magnetic resonance images using high-dimensional texture features.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Classification of interstitial lung disease patterns with topological texture features.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010