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MICCAI
2003
Springer
16 years 7 months ago
Robust Estimation for Brain Tumor Segmentation
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
Marcel Prastawa, Elizabeth Bullitt, Sean Ho, Guido...
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MICCAI
2004
Springer
16 years 7 months ago
Learning Coupled Prior Shape and Appearance Models for Segmentation
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...
Xiaolei Huang, Zhiguo Li, Dimitris N. Metaxas
MICCAI
2005
Springer
16 years 7 months ago
Segmentation and 3D Reconstruction of Microtubules in Total Internal Reflection Fluorescence Microscopy (TIRFM)
The interaction of the microtubules with the cell cortex plays numerous critical roles in a cell. For instance, it directs vesicle delivery, and modulates membrane adhesions pivota...
Stathis Hadjidemetriou, Derek Toomre, James S. Dun...
ICDAR
2009
IEEE
16 years 1 months ago
Constant-Time Locally Optimal Adaptive Binarization
Scanned document images are nowadays becoming available in increasingly higher resolutions. Meanwhile, the variations in image quality within typical document collections increase...
Iuliu Konya Konya, Christoph Seibert, Stefan Eicke...
CVPR
2008
IEEE
16 years 1 months ago
Rotation symmetry group detection via frequency analysis of frieze-expansions
We present a novel and effective algorithm for rotation symmetry group detection from real-world images. We propose a frieze-expansion method that transforms rotation symmetry gro...
Seungkyu Lee, Robert T. Collins, Yanxi Liu