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MICCAI
2010
Springer
15 years 4 months ago
Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs
Abstract. Deformable surface models are often represented as triangular meshes in image segmentation applications. For a fast and easily regularized deformation onto the target obj...
Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Ste...
ISBI
2011
IEEE
14 years 10 months ago
Skull-stripping with deformable organisms
Segmenting brain from non-brain tissue within magnetic resonance (MR) images of the human head, also known as skull-stripping, is a critical processing step in the analysis of neu...
Gautam Prasad, Anand A. Joshi, Paul M. Thompson, A...
ICIP
2008
IEEE
16 years 8 months ago
Automated line flattening of Atomic Force Microscopy images
In this paper, an automated algorithm to flatten lines from Atomic Force Microscopy (AFM) images is presented. Due to the mechanics of the AFM, there is a curvature distortion (bo...
Sotirios A. Tsaftaris, Jana Zujovic, Aggelos K. Ka...
MICCAI
2003
Springer
16 years 7 months ago
Drusen Detection in a Retinal Image Using Multi-level Analysis
This paper concerns a method to automatically detect drusen in a retinal image without human supervision or interaction. We use a multi-level approach, beginning with classificatio...
Lee Brandon, Adam Hoover
CBMS
2007
IEEE
16 years 26 days ago
An Unsupervised and Fully-Automated Image Analysis Method for cDNA Microarrays
Microarray gene expression image analysis is a labor-intensive task and requires human intervention since microarray images are contaminated with noise and artifacts while spots a...
Eleni Zacharia, Dimitrios E. Maroulis