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ICPR
2000
IEEE
16 years 7 days ago
Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features
The decrease in the volume of viable tumor is an indicator for the effect preoperative chemotherapy has on bone tumors. We develop an approach for segmenting dynamic perfusionMR-i...
Michael Egmont-Petersen, Alejandro F. Frangi, Wiro...
86
Voted
ISBI
2009
IEEE
15 years 6 months ago
Automatic Markup of Neural Cell Membranes Using Boosted Decision Stumps
To better understand the central nervous system, neurobiologists need to reconstruct the underlying neural circuitry from electron microscopy images. One of the necessary tasks is...
Kannan Umadevi Venkataraju, António R. C. P...
93
Voted
ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
15 years 5 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
ICDM
2008
IEEE
80views Data Mining» more  ICDM 2008»
15 years 5 months ago
Collective Latent Dirichlet Allocation
In this paper, we propose a new variant of Latent Dirichlet Allocation(LDA): Collective LDA (C-LDA), for multiple corpora modeling. C-LDA combines multiple corpora during learning...
Zhiyong Shen, Jun Sun, Yi-Dong Shen
ICPR
2008
IEEE
15 years 5 months ago
Illumination invariant spatio-colorimetric normalization
In the context of object recognition, it is useful to extract, from the images, efficient indexes that are insensitive to the illumination conditions, to the camera scale factor ...
Damien Muselet, Alain Trémeau