Graph-Based and Variational Minimization of Statistical Cost Functionals for 3D Segmentation of Aortic Dissections
- 15 October 2014
- conference paper
- conference paper
- Published by Springer Science and Business Media LLC in Lecture Notes in Computer Science
Abstract
No abstract availableThis publication has 18 references indexed in Scilit:
- Polar-Based Aortic Segmentation in 3D CTA Dissection Data Using a Piecewise Constant Curvature ModelPublished by Springer Science and Business Media LLC ,2014
- The past, present and future of minimally invasive therapy in endovascular interventions: A review and speculative outlookMinimally Invasive Therapy & Allied Technologies, 2013
- Segmentation and quantification of the aortic arch using joint 3D model-based segmentation and elastic image registrationMedical Image Analysis, 2012
- Computed tomography-based anatomic characterization of proximal aortic dissection with consideration for endovascular candidacyJournal of Vascular Surgery, 2011
- An efficient local Chan–Vese model for image segmentationPattern Recognition, 2010
- Contour-based surface reconstruction using MPU implicit modelsGraphical Models, 2007
- Interactive segmentation of abdominal aortic aneurysms in CTA imagesMedical Image Analysis, 2004
- Multi-level partition of unity implicitsACM Transactions on Graphics, 2003
- Active contours without edgesIEEE Transactions on Image Processing, 2001
- The quickhull algorithm for convex hullsACM Transactions on Mathematical Software, 1996