International Journal of Computer Vision
Computing Geodesics and Minimal Surfaces via Graph Cuts
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Learning structured prediction models: a large margin approach
ICML '05 Proceedings of the 22nd international conference on Machine learning
Random Walks for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image distance functions for manifold learning
Image and Vision Computing
Fast Global Minimization of the Active Contour/Snake Model
Journal of Mathematical Imaging and Vision
Training structural SVMs when exact inference is intractable
Proceedings of the 25th international conference on Machine learning
Learning CRFs Using Graph Cuts
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Is a single energy functional sufficient? adaptive energy functionals and automatic initialization
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
IEEE Transactions on Image Processing
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Energy functional minimization is a popular technique for medical image segmentation. The segmentation must be initialized, weights for competing terms of an energy functional must be tuned, and the functional minimized. There is a substantial amount of guesswork involved. We reduce this guesswork by analytically determining the optimal weights and minimizing a convex energy functional independent of the initialization. We demonstrate improved results over state of the art on a set of 470 clinical examples.