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Publications
Filters: Author is M. Rak  [Clear All Filters]
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2013.  Visualization and Analysis of Lumbar Spine Canal Variability in Cohort Study Data. Proceedings of the International Workshop on Vision, Modeling and Visualization. :121-128.
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2014.  Ultrasound texture-based CAD system for detecting neuromuscular diseases. International Journal of Computer Assisted Radiology and Surgery. :1-11.
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2013.  Texture-Based Detection of Myositis in Ultrasonographies. Bildverarbeitung für die Medizin. :81-86.
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2017.  Star convex cuts with encoding swaps for fast whole-spine vertebra segmentation in MRI. Proceedings of the 22nd International Symposium on Vision, Modeling and Visualization (VMV). :145-152.
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2015.  Spotting Differences Among Observations. Proceedings of the International Conference on Pattern Recognition Applications and Methods. :5-13.
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2015.  Spinal Canal Centerline Extraction in {MRI}. Proceedings of the 19th Medical Image Understanding and Analysis Conference. :144-149.
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2016.  On computerized methods for spine analysis in MRI: a systematic review. International Journal of Computer Assisted Radiology and Surgery (IJCARS). :1–21.
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2015.  Measurement of the Aortic Diameter in Plain Axial Cardiac Cine {MRI}. Bildverarbeitung für die Medizin. :293-298.
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2016.  A Learning-free Approach to Whole Spine Vertebra Localization in MRI. Proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention. :283-290.
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2015.  Interactive Visual Analysis of Lumbar Back Pain - What the Lumbar Spine Tells About Your Life. Proceedings of the International Conference on Information Visualization Theory and Applications. 
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2016.  Information Efficient Automatic Object Detection and Segmentation using Cosegmentation, Similarity Based Clustering and Graph Label Transfer. 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM). :397–406.
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2015.  Image analysis in epidemiological applications. it - Information Technology. 57:22-29.
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2017.  Extracting the Aorta Centerline in Contrast-enhanced MRI. Bildverarbeitung für die Medizin. :toappear.
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2013.  Eine geschlossene Formulierung für hiearchische Finite-Elemente-Modelle - Anwendungsfall: Erkennung von Wirbelsäulen in Magnetresonanztomographien. Otto-von-Guericke-Universitaet zu Magdeburg. M.Sc.
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2015.  Density Difference Detection with Application to Exploratory Visualization. Lecture Notes in Computer Science. 
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2014.  Deformable part models for object detection in medical images. BioMedical Engineering OnLine. 13:S1.
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2013.  Closed-Form Hierarchical Finite Element Models for Part-Based Object Detection. Proceedings of the International Workshop on Vision, Modeling and Visualization. :137-144.
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2016.  Aorta Segmentation in Axial Cardiac Cine MRI via Graphical Models. Bildverarbeitung für die Medizin (BVM). :218–223.
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2013.  An Adaptive Subdivision Scheme for Quadratic Programming in Multi-label Image Segmentation. Proceedings of the British Machine Vision Conference. 

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