Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation
International Journal of Computer Vision
Gradient flows and geometric active contour models
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
IEEE Transactions on Image Processing
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation
International Journal of Computer Vision
Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation
International Journal of Computer Vision
Dynamical Statistical Shape Priors for Level Set-Based Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Journal of Mathematical Imaging and Vision
Prior Knowledge, Level Set Representations & Visual Grouping
International Journal of Computer Vision
International Journal of Computer Vision
A Statistical Overlap Prior for Variational Image Segmentation
International Journal of Computer Vision
Level Set Image Segmentation with a Statistical Overlap Constraint
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Liver segmentation using sparse 3D prior models with optimal data support
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Soft level set coupling for LV segmentation in gated perfusion SPECT
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
PICE: prior information constrained evolution for 3-D and 4-D brain tumor segmentation
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
SIAM Journal on Imaging Sciences
SIAM Journal on Imaging Sciences
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Shape-Driven 3d segmentation using spherical wavelets
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Survey on liver CT image segmentation methods
Artificial Intelligence Review
Dynamical statistical shape priors for level set based sequence segmentation
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
Constrained surface evolutions for prostate and bladder segmentation in CT images
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Reduced set density estimator for object segmentation based on shape probabilistic representation
Journal of Visual Communication and Image Representation
Journal of Mathematical Imaging and Vision
Ultrasound kidney segmentation with a global prior shape
Journal of Visual Communication and Image Representation
Computer Vision and Image Understanding
TouchCut: Fast image and video segmentation using single-touch interaction
Computer Vision and Image Understanding
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We propose a nonlinear statistical shape model for level set segmentation which can be efficiently implemented. Given a set of training shapes, we perform a kernel density estimation in the low dimensional subspace spanned by the training shapes. In this way, we are able to combine an accurate model of the statistical shape distribution with efficient optimization in a finite-dimensional subspace. In a Bayesian inference framework, we integrate the nonlinear shape model with a nonparametric intensity model and a set of pose parameters which are estimated in a more direct data-driven manner than in previously proposed level set methods. Quantitative results show superior performance (regarding runtime and segmentation accuracy) of the proposed nonparametric shape prior over existing approaches.