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    BILDMED
    2008
    123views Algorithms» more  BILDMED 2008»
    Flow Quantification from 2D Phase Contrast MRI in Renal Arteries Using Clustering
    14 years 11 months ago
    Flow Quantification from 2D Phase Contrast MRI in Renal Arteries Using Clustering
    Download  sunsite.informatik.rwth-aachen.de
    Abstract. We present an approach based on clustering to segment renal arteries from 2D PC Cine MR images to measure blood velocity and flow. Such information are important in gradi...
    Frank Zöllner, Jan Ankar Monnsen, Arvid Lunde...
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    BILDMED
    2009
    230views Algorithms» more  BILDMED 2009»
    Analysis of 2D Phase Contrast MRI in Renal Arteries by Self Organizing Maps
    14 years 11 months ago
    Analysis of 2D Phase Contrast MRI in Renal Arteries by Self Organizing Maps
    Download  sunsite.informatik.rwth-aachen.de
    We present an approach based on self organizing maps to segment renal arteries from 2D PC Cine MR images to measure blood velocity and flow. Such information are important in gradi...
    Frank Zöllner, Lothar R. Schad
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    JOT
    2007
    93views more  JOT 2007»
    On Challenges for Information Management Technology
    14 years 9 months ago
    On Challenges for Information Management Technology
    Download  www.jot.fm
    Today information management technology faces two major related challenges. One is to tame the information and options explosion that are upon us. Another is to support the inform...
    Won Kim
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    IJCV
    2000
    109views more  IJCV 2000»
    Fast Lighting Independent Background Subtraction
    14 years 9 months ago
    Fast Lighting Independent Background Subtraction
    Download  web.media.mit.edu
    This paper describes a simple method of fast background subtraction based upon disparity verification that is invariant to arbitrarily rapid run-time changes in illumination. Using...
    Yuri A. Ivanov, Aaron F. Bobick, John Liu
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    BMVC
    2002
    150views Computer Vision» more  BMVC 2002»
    Low Density Feature Point Matching for Articulated Pose Identification
    15 years 8 days ago
    Low Density Feature Point Matching for Articulated Pose Identification
    Download  www.bmva.ac.uk
    We describe a general algorithm for identifying an arbitrary pose of an articulated subject with low density feature points. The algorithm aims to establish a one-to-one correspon...
    Horst Holstein, Baihua Li
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