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» Robust Segmentation of Brain Structures in MRI
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MICCAI
2002
Springer
15 years 10 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
2001
Springer
15 years 10 months ago
Partial Volume Segmentation of Cerebral MRI Scans with Mixture Model Clustering
A mixture model clustering algorithm is presented for robust MRI brain image segmentation in the presence of partial volume averaging. The method uses additional classes to represe...
Aljaz Noe, James C. Gee
MICCAI
2009
Springer
15 years 10 months ago
Supervised Nonparametric Image Parcellation
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leem...
MICCAI
2005
Springer
15 years 10 months ago
An Automated Approach to Connectivity-Based Partitioning of Brain Structures
Abstract. We present an automated approach to the problem of connectivity-based partitioning of brain structures using diffusion imaging. White-matter fibres connect different area...
Philip A. Cook, Hui Zhang 0005, Brian B. Avants, P...
MICCAI
2009
Springer
15 years 6 months ago
Multiple Sclerosis Lesion Segmentation Using an Automatic Multimodal Graph Cuts
Abstract. Graph Cuts have been shown as a powerful interactive segmentation technique in several medical domains. We propose to automate the Graph Cuts in order to automatically se...
Daniel García-Lorenzo, Jérémy...