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» Continuous Label Bayesian Segmentation, Applications to Medi...
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MICCAI
2007
Springer
14 years 4 months ago
Prior Knowledge Driven Multiscale Segmentation of Brain MRI
We present a novel automatic multiscale algorithm applied to segmentation of anatomical structures in brain MRI. The algorithm which is derived from algebraic multigrid, uses a gra...
Ayelet Akselrod-Ballin, Meirav Galun, Moshe John G...
MICCAI
2003
Springer
14 years 4 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...
MICCAI
2002
Springer
14 years 4 months ago
Recognizing Deviations from Normalcy for Brain Tumor Segmentation
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm att...
David T. Gering, W. Eric L. Grimson, Ron Kikinis
IPMI
2007
Springer
14 years 4 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
MICCAI
2010
Springer
13 years 1 months ago
Synthetic MRI Signal Standardization: Application to Multi-atlas Analysis
From the image analysis perspective, a disadvantage of MRI is the lack of image intensity standardization. Differences in coil sensitivity, pulse sequence and acquisition parameter...
Juan Eugenio Iglesias, Ivo D. Dinov, Jaskaran Sing...