Johan Lie
Computational Mechanics · 2006
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 7 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Johan Lie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tony F. Chan
- Stanley J. Osher
- Luminita A. Vese
- Gilles Aubert
- Yen-Hsi Richard Tsai
- James A. Sethian
- Dimitri P. Bertsekas
- Li-Tien Cheng
- Xuecheng Tai
- Martin Burger
Who trusts Johan Lie overall
Papers from Johan Lie's perspective
Ordered by how strongly the researchers Johan Lie trusts endorse each paper. Same corpus, a different order for every researcher.
- A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model (International Journal of Computer Vision)
- Snakes: Active contour models
- Active contours without edges
- Fast Sweeping Algorithms for a Class of Hamilton-Jacobi Equations (SIAM Journal on Numerical Analysis)
- Level set and total variation regularization for elliptic inverse problems with discontinuous coefficients
- Level set methods: an overview and some recent results
- Mathematical problems in image processing - partial differential equations and the calculus of variations (Applied Mathematical Sciences)
- Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
- Incorporating topological derivatives into level set methods
- Constrained Optimization and Lagrange Multiplier Methods
Their papers
- A binary level set model and some applications to Mumford-Shah image segmentation (2006) — 399 citations