Visual reconstruction
Constraints on deformable models: recovering 3D shape and nongrid motion
Artificial Intelligence
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Machine Vision and Applications
On active contour models and balloons
CVGIP: Image Understanding
Computing minimal surfaces via level set curvature flow
Journal of Computational Physics
Using deformable surfaces to segment 3-D images and infer differential structures
CVGIP: Image Understanding
International Journal of Computer Vision
Evolutionary fronts for topology-independent shape modeling and recovery
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
A fast level set method for propagating interfaces
Journal of Computational Physics
Journal of Computational Physics
International Journal of Computer Vision
Image processing: flows under min/max curvature and mean curvature
Graphical Models and Image Processing
What is the best causal scale space for three-dimensional images?
SIAM Journal on Applied Mathematics
A fast level set based algorithm for topology-independent shape modeling
Journal of Mathematical Imaging and Vision - Special issue on topology and geometry in computer vision
Invariant geometric evolutions of surfaces and volumetric smoothing
SIAM Journal on Applied Mathematics
Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three Dimensional Object Modeling via Minimal Surfaces
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Global Minimum for Active Contour Models: A Minimal Path Approach
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Algorithms for implicit deformable models
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Gradient flows and geometric active contour models
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Topologically adaptable snakes
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Image segmentation by reaction-diffusion bubbles
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
A unified approach to noise removal, image enhancement, and shape recovery
IEEE Transactions on Image Processing
International Journal of Computer Vision
DEFORMOTION: Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Region Matching with Missing Parts
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
White Matter/Gray Matter Boundary Segmentation Using Geometric Snakes: A Fuzzy Deformable Model
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
Volumetric Layer Segmentation Using Coupled Surfaces Propagation
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
International Journal of Computer Vision
Harmonic Embeddings for Linear Shape Analysis
Journal of Mathematical Imaging and Vision
Fast Global Minimization of the Active Contour/Snake Model
Journal of Mathematical Imaging and Vision
Embedded real-time architecture for level-set-based active contours
EURASIP Journal on Applied Signal Processing
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction
Journal of Scientific Computing
Fast 3d brain segmentation using dual-front active contours with optional user-interaction
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Medical image segmentation schemes for the analysis of gynaecological malignancies
International Journal of Knowledge-based and Intelligent Engineering Systems
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Abstract: A geometric scheme for detecting, representing, and measuring 3D medical data is presented. The technique based on deforming 3D surfaces, represented via level-sets, towards the medical objects, according to intrinsic geometric measures of the data. The 3D medical object is represented as a (weighted) minimal surface in a Riemannian space whose metric is induced from the image. This minimal surface is computed using the level-set methodology for propagating interfaces, combined with a narrow band technique which allows fast implementation. This computation technique automatically handles topological changes. Measurements like volume and area are performed on the surface, exploiting the representation and the high accuracy intrinsic to the algorithm.