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» A New Brain Segmentation Framework
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MICCAI
2009
Springer
16 years 26 days 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...
ISBI
2007
IEEE
15 years 6 months ago
Validation of a New Optimisation Algorithm for Registration Tasks in Medical Imaging
A number of problems frequently encountered in brain image analysis can be conveniently solved within a registration framework, such as alignment of mono- or multi-sequence Magnet...
Nicolas Wiest-Daesslé, Sylvain Prima, Sean ...
CORR
2006
Springer
139views Education» more  CORR 2006»
14 years 11 months ago
Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization
Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multimodal optimization is proposed to formalize these...
Vojtech Krmicek, Michèle Sebag
MICCAI
2010
Springer
14 years 10 months ago
Detecting Brain Activation in fMRI Using Group Random Walker
Due to the complex noise structure of functional magnetic resonance imaging (fMRI) data, methods that rely on information within a single subject often results in unsatisfactory fu...
Bernard Ng, Ghassan Hamarneh, Rafeef Abugharbieh
SCALESPACE
2009
Springer
15 years 6 months ago
A Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother
In this paper, we present a new non-parametric combined segmentation and registration method. The problem is cast as an optimization one, combining a matching criterion based on th...
Carole Le Guyader, Luminita A. Vese