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» A Framework for Analysis of Data Freshness
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MICCAI
2006
Springer
16 years 7 months ago
Automatic Point Landmark Matching for Regularizing Nonlinear Intensity Registration: Application to Thoracic CT Images
Nonlinear image registration is a prerequisite for a variety of medical image analysis tasks. A frequently used registration method is based on manually or automatically derived po...
Martin Urschler, Christopher Zach, Hendrik Ditt, H...
ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
16 years 24 days ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...
CBMS
2006
IEEE
16 years 17 days ago
Efficient Rotation Invariant Retrieval of Shapes with Applications in Medical Databases
Recognition of shapes in images is an important problem in computer vision with application in various medical problems, including robotic surgery and cell analysis. The similarit...
Selina Chu, Shrikanth S. Narayanan, C. C. Jay Kuo
BIBM
2008
IEEE
125views Bioinformatics» more  BIBM 2008»
15 years 8 months ago
On the Role of Local Matching for Efficient Semi-supervised Protein Sequence Classification
Recent studies in protein sequence analysis have leveraged the power of unlabeled data. For example, the profile and mismatch neighborhood kernels have shown significant improveme...
Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic
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...