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» Towards Fully Automatic Image Segmentation Evaluation
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MICCAI
2005
Springer
14 years 11 months ago
Cross Validation of Experts Versus Registration Methods for Target Localization in Deep Brain Stimulation
In the last five years, Deep Brain Stimulation (DBS) has become the most popular and effective surgical technique for the treatment of Parkinson's disease (PD). The Subthalami...
Claudio Pollo, F. Javier Sánchez Castro, Je...
MICCAI
2009
Springer
14 years 11 months ago
Fast and Robust 3-D MRI Brain Structure Segmentation
We present a novel method for the automatic detection and segmentation of (sub-)cortical gray matter structures in 3-D magnetic resonance images of the human brain. Essentially, th...
Michael Wels, Yefeng Zheng, Gustavo Carneiro, M...
ISBI
2011
IEEE
13 years 1 months ago
Extraction and analysis of actin networks based on Open Active Contour models
Network structures formed by actin filaments are present in many kinds of fluorescence microscopy images. In order to quantify the conformations and dynamics of such actin fila...
Ting Xu, Hongsheng Li, Tian Shen, Nikola Ojkic, Di...
CVPR
2011
IEEE
13 years 5 months ago
Novel 4-D Open-Curve Active Contour and Curve Completion Approach for Automated Tree Structure Extraction
We present novel approaches for fully automated extraction of tree-like tubular structures from 3-D image stacks. A 4-D Open-Curve Active Contour (Snake) model is proposed for sim...
Yu Wang, Arunachalam Narayanaswamy, Badri Roysam
JMIV
2007
143views more  JMIV 2007»
13 years 10 months ago
Measures for Benchmarking of Automatic Correspondence Algorithms
Automatic localisation of correspondences for the construction of Statistical Shape Models from examples has been the focus of intense research during the last decade. Several alg...
Anders Ericsson, Johan Karlsson