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» An Auxiliary Variational Method
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TMI
2010
181views more  TMI 2010»
15 years 4 months ago
In Vivo Impedance Imaging With Total Variation Regularization
—We show that electrical impedance tomography (EIT) image reconstruction algorithms with regularization based on the Total Variation (TV) functional are suitable for in vivo imag...
Andrea Borsic, Brad M. Graham, Andy Adler, William...
CORR
2011
Springer
150views Education» more  CORR 2011»
15 years 18 days ago
Total variation regularization for fMRI-based prediction of behaviour
—While medical imaging typically provides massive amounts of data, the extraction of relevant information for predictive diagnosis remains a difficult challenge. Functional MRI ...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
ICCD
2007
IEEE
322views Hardware» more  ICCD 2007»
16 years 2 months ago
Voltage drop reduction for on-chip power delivery considering leakage current variations
In this paper, we propose a novel on-chip voltage drop reduction technique for on-chip power delivery networks of VLSI systems in the presence of variational leakage current sourc...
Jeffrey Fan, Ning Mi, Sheldon X.-D. Tan
BMCBI
2008
87views more  BMCBI 2008»
15 years 5 months ago
Global rank-invariant set normalization (GRSN) to reduce systematic distortions in microarray data
Background: Microarray technology has become very popular for globally evaluating gene expression in biological samples. However, non-linear variation associated with the technolo...
Carl R. Pelz, Molly Kulesz-Martin, Grover Bagby, R...
164
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SIAMSC
2008
237views more  SIAMSC 2008»
15 years 5 months ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto