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114
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BMCBI
2010
118views more  BMCBI 2010»
15 years 28 days ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
101
Voted
BMCBI
2010
208views more  BMCBI 2010»
15 years 28 days ago
Calculation of accurate small angle X-ray scattering curves from coarse-grained protein models
Background: Genome sequencing projects have expanded the gap between the amount of known protein sequences and structures. The limitations of current high resolution structure det...
Kasper Stovgaard, Christian Andreetta, Jesper Ferk...
139
Voted
IPMI
2001
Springer
16 years 1 months ago
An Adaptive Level Set Method for Medical Image Segmentation
An efficient adaptive multigrid level set method for front propagation purposes in three dimensional medical image processing and segmentation is presented. It is able to deal with...
Marc Droske, Bernhard Meyer, Martin Rumpf, Carlo S...
ICCV
2007
IEEE
15 years 7 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
99
Voted
ICMCS
2006
IEEE
120views Multimedia» more  ICMCS 2006»
15 years 6 months ago
Video Encoding and Splicing for Tune-in Time Reduction in IP Datacasting (IPDC) Over DVB-H
A novel video encoding and splicing method is proposed which minimizes the tune-in time of “channel zapping”, i.e. changing from one audiovisual service to another, in IPDC ov...
Mehdi Rezaei, Miska M. Hannuksela, Moncef Gabbouj