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MICCAI
2005
Springer
14 years 5 months ago
Shape-Based Averaging for Combination of Multiple Segmentations
Combination of multiple segmentations has recently been introduced as an effective method to obtain segmentations that are more accurate than any of the individual input segmentati...
Torsten Rohlfing, Calvin R. Maurer Jr.
CVPR
2006
IEEE
14 years 7 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
MICCAI
2003
Springer
14 years 5 months ago
Extraction and Application of Expert Priors to Combine Multiple Segmentations of Human Brain Tissue
Abstract. This paper evaluates strategies to combine multiple segmentations of the same image, generated for example by different segmentation methods or by different human experts...
Torsten Rohlfing, Daniel B. Russakoff, Calvin R. M...
IPMI
2005
Springer
14 years 5 months ago
Information Fusion in Biomedical Image Analysis: Combination of Data vs. Combination of Interpretations
Information fusion has, in the form of multiple classifier systems, long been a successful tool in pattern recognition applications. It is also becoming increasingly popular in bio...
Torsten Rohlfing, Adolf Pfefferbaum, Edith V. Sull...
IPMI
2003
Springer
14 years 5 months ago
Expectation Maximization Strategies for Multi-atlas Multi-label Segmentation
It is well-known in the pattern recognition community that the accuracy of classifications obtained by combining decisions made by independent classifiers can be substantially high...
Torsten Rohlfing, Daniel B. Russakoff, Calvin R. M...