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	<title><![CDATA[springer science+business media Resources | BNET]]></title>
	<link><![CDATA[http://resources.bnet.com/topic/springer+science%2bbusiness+media.html]]></link>
	<description><![CDATA[White papers, case studies, business articles, and blog posts relating to springer science+business media]]></description>
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	<item>
		<title><![CDATA[ASM, TMS partner with Springer on journals.(ASM NEWS)]]></title>
		<link><![CDATA[http://findarticles.com/p/articles/mi_hb5260/is_200701/ai_n20372501]]></link>
		<description><![CDATA[ASM International and The Minerals, Metals & Materials Society  TMS have announced a new partnership with Springer, part of Springer  Science+Business Media, a leading supplier of scientific literature.    Starting this month, Springer will publis  ASM International and The Minerals, Metals & Materials Society ...]]></description>
		<s:doctype><![CDATA[Research articles]]></s:doctype>
		<pubDate>Mon, 01 Jan 2007 00:00:00 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/asm+international+n.v..html"><![CDATA[ASM International N.V.]]></category>
	</item>
	<item>
		<title><![CDATA[Anisotropic Interpolation of DT-MRI]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=122715]]></link>
		<description><![CDATA[Diffusion tensor MRI (DT-MRI) is an image modality that is gaining clinical importance. After some preliminaries that describe the fundamentals of this imaging modality, they present a new technique to interpolate the diffusion tensor field, preserving boundaries and the constraint of positive-semi definiteness. Their approach is based on the use...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Wed, 01 Sep 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/technique.html"><![CDATA[Technique]]></category>
		<category domain="http://resources.bnet.com/topic/imaging.html"><![CDATA[Imaging]]></category>
		<category domain="http://resources.bnet.com/topic/digital+image.html"><![CDATA[Digital Image]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/interpolation.html"><![CDATA[Interpolation]]></category>
		<category domain="http://resources.bnet.com/topic/document+management.html"><![CDATA[Document Management]]></category>
		<category domain="http://resources.bnet.com/topic/productivity.html"><![CDATA[Productivity]]></category>
		<category domain="http://resources.bnet.com/topic/enterprise+software.html"><![CDATA[Enterprise Software]]></category>
		<category domain="http://resources.bnet.com/topic/software.html"><![CDATA[Software]]></category>
		<category domain="http://resources.bnet.com/topic/finance.html"><![CDATA[Finance]]></category>
		<category domain="http://resources.bnet.com/topic/managerial+accounting.html"><![CDATA[Managerial Accounting]]></category>
	</item>
	<item>
		<title><![CDATA[Interface Detection in Diffusion Tensor MRI]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=122717]]></link>
		<description><![CDATA[This paper presents a new method for detecting the interface, or edge, structure present in diffusion MRI. Interface detection is an important first step for applications including segmentation and registration. Additionally, due to the higher dimensionality of tensor data, humans are visually unable to detect edges as easily as in...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Wed, 01 Sep 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/detection.html"><![CDATA[Detection]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/productivity.html"><![CDATA[Productivity]]></category>
	</item>
	<item>
		<title><![CDATA[In Silico Tumor Growth: Application to Glioblastomas]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=122640]]></link>
		<description><![CDATA[This paper proposes a new model to simulate the growth of glioblastomas multiforma GBM, the most aggressive glial tumors. This model relies upon an anatomical atlas including white fibers diffusion tensor information and the delineation of cerebral structures having a distinct response to the tumor aggression. It simulates both the...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 30 Aug 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/network+technology.html"><![CDATA[Network Technology]]></category>
		<category domain="http://resources.bnet.com/topic/networking.html"><![CDATA[Networking]]></category>
	</item>
	<item>
		<title><![CDATA[Exact MAP Activity Detection in fMRI Using a GLM With an Ising Spatial Prior]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=122643]]></link>
		<description><![CDATA[In this paper, they show that standard activation statistics, such as F-statistics, are derived from the log-likelihood ratio of a subset hypothesis test under classical, linear models of the BOLD signal. Consequently, the same exact MAP activity detection mechanism can be used with such General Linear Models GLMs; thereby controlling...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 30 Aug 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
	</item>
	<item>
		<title><![CDATA[Modelling Surgical Cuts, Retractions, and Resections Via Extended Finite Element Method]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=122645]]></link>
		<description><![CDATA[This paper introduces a new, efficient approach for modelling the deformation of organs following surgical cuts, retractions, and resections. It uses the extended finite element method XFEM, recently developed in "fracture mechanics" for dealing with cracks in mechanical parts. XFEM eliminates the computationally-expensive remeshing that would be required if the...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 30 Aug 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/method.html"><![CDATA[Method]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/xfem.html"><![CDATA[XFEM]]></category>
	</item>
	<item>
		<title><![CDATA[Control System for MR-Guided Cryotherapy: Short-Term Prediction of Therapy Boundary Using Automatic Segmentation and 3D Optical Flow]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=122648]]></link>
		<description><![CDATA[During cryotherapy, it is extremely useful for the interventionalists to have available intra-operatively a 3D iceball visualization, to ensure the effectiveness and safety of the procedure. Additionally, it is highly beneficial to provide the interventionalists with a best estimate of how the iceball will grow in the future, and an...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 30 Aug 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/3d.html"><![CDATA[3D]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/therapy.html"><![CDATA[Therapy]]></category>
	</item>
	<item>
		<title><![CDATA[Level Set Methods in an EM Framework for Shape Classification and Estimation]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=122654]]></link>
		<description><![CDATA[This paper proposes an Expectation-Maximization approach to separate a shape database into different shape classes, while simultaneously estimating the shape contours that best exemplify each of the different shape classes. They begin their formulation by employing the level set function as the shape descriptor. Next, for each shape class they...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 30 Aug 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/class.html"><![CDATA[Class]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/storage.html"><![CDATA[Storage]]></category>
		<category domain="http://resources.bnet.com/topic/databases.html"><![CDATA[Databases]]></category>
		<category domain="http://resources.bnet.com/topic/hardware.html"><![CDATA[Hardware]]></category>
		<category domain="http://resources.bnet.com/topic/enterprise+software.html"><![CDATA[Enterprise Software]]></category>
		<category domain="http://resources.bnet.com/topic/software.html"><![CDATA[Software]]></category>
		<category domain="http://resources.bnet.com/topic/data+management.html"><![CDATA[Data Management]]></category>
	</item>
	<item>
		<title><![CDATA[Precise Evaluation of Positioning Repeatability of MR-Compatible Manipulator Inside MRI]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=122663]]></link>
		<description><![CDATA[This paper is based on an experiment for testing the positioning repeatability of MR-compatible manipulator with a CCD laser micrometer inside MRI. To evaluate the performance of MR-compatible manipulator inside MRI, the measuring system must be confirmed to work correctly inside MRI in advance. Therefore, the measuring system was tested...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 30 Aug 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/positioning.html"><![CDATA[Positioning]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/mri.html"><![CDATA[MRI]]></category>
		<category domain="http://resources.bnet.com/topic/branding.html"><![CDATA[Branding]]></category>
		<category domain="http://resources.bnet.com/topic/marketing.html"><![CDATA[Marketing]]></category>
	</item>
	<item>
		<title><![CDATA[3D Analysis of Radiofrequency-Ablated Tumors in Liver: A Computer-Aided Diagnosis Tool for Early Detection of Local Recurrences]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=122665]]></link>
		<description><![CDATA[Radiofrequency ablation is being used increasingly in the treatment of liver tumors, and the detection of local recurrences on follow-up imaging is an important and occasionally challenging task. When the tumor is not associated with nodular enhancement, recurrence detection only relies on a precise identification of shape changes in the...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 30 Aug 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/3d.html"><![CDATA[3D]]></category>
		<category domain="http://resources.bnet.com/topic/detection.html"><![CDATA[Detection]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/tool.html"><![CDATA[Tool]]></category>
		<category domain="http://resources.bnet.com/topic/computer.html"><![CDATA[Computer]]></category>
		<category domain="http://resources.bnet.com/topic/productivity.html"><![CDATA[Productivity]]></category>
		<category domain="http://resources.bnet.com/topic/document+management.html"><![CDATA[Document Management]]></category>
		<category domain="http://resources.bnet.com/topic/enterprise+software.html"><![CDATA[Enterprise Software]]></category>
		<category domain="http://resources.bnet.com/topic/software.html"><![CDATA[Software]]></category>
		<category domain="http://resources.bnet.com/topic/finance.html"><![CDATA[Finance]]></category>
		<category domain="http://resources.bnet.com/topic/managerial+accounting.html"><![CDATA[Managerial Accounting]]></category>
	</item>
	<item>
		<title><![CDATA[Landmark-Guided Surface Matching and Volumetric Warping for Improved Prostate Biopsy Targeting and Guidance]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=122765]]></link>
		<description><![CDATA[This paper presents a composite method for landmark-guided surface matching and volumetric non-rigid registration, with an application to prostate biopsy. The two-step method, based primarily on finite element and thin-plate spline techniques, consists of a boundary matching process, followed by a volumetric warping step. In practice, the boundary matching method...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 30 Aug 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/method.html"><![CDATA[Method]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/productivity.html"><![CDATA[Productivity]]></category>
	</item>
	<item>
		<title><![CDATA[Improved Non-Rigid Registration of Prostate MRI]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=122767]]></link>
		<description><![CDATA[This paper introduces a fast non-rigid registration method for aligning pre-operative 1.5 T MR Images to intra-operative 0.5 T MR Images for guidance in prostate biopsy. After the acquisition of both pre-operative 1.5 T and intra-operative 0.5 T, an intensity correction method is applied to the pre-operative images to reduce...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 30 Aug 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/mergers+%2526+acquisitions.html"><![CDATA[Mergers & Acquisitions]]></category>
		<category domain="http://resources.bnet.com/topic/corporate+law.html"><![CDATA[Corporate Law]]></category>
		<category domain="http://resources.bnet.com/topic/investment.html"><![CDATA[Investment]]></category>
		<category domain="http://resources.bnet.com/topic/finance.html"><![CDATA[Finance]]></category>
		<category domain="http://resources.bnet.com/topic/business+operations.html"><![CDATA[Business Operations]]></category>
	</item>
	<item>
		<title><![CDATA[The Role of Retail Competition, Demographics and Account Retail Strategy as Drivers of Promotional Sensitivity]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=242858]]></link>
		<description><![CDATA[This paper studies the determinants of sensitivity to the promotional activities of temporary price reductions, displays, and feature advertisements. Both the theoretical and empirical literatures on price promotions suggest that retailer competition and the demographic composition of the shopping population should be linked to response to temporary price cuts. However,...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Sat, 15 May 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/sensitivity.html"><![CDATA[Sensitivity]]></category>
		<category domain="http://resources.bnet.com/topic/retail.html"><![CDATA[Retail]]></category>
		<category domain="http://resources.bnet.com/topic/strategy.html"><![CDATA[Strategy]]></category>
		<category domain="http://resources.bnet.com/topic/management.html"><![CDATA[Management]]></category>
	</item>
	<item>
		<title><![CDATA[Tensor Field Regularization Using Normalized Convolution]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=123452]]></link>
		<description><![CDATA[This paper presents a filtering technique for regularizing tensor fields. It uses a nonlinear filtering technique termed normalized convolution, a general method for filtering missing and uncertain data. In the present work we extend the signal certainty function to depend on locally derived certainty information in addition to the priory...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Tue, 13 Apr 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/technique.html"><![CDATA[Technique]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/productivity.html"><![CDATA[Productivity]]></category>
	</item>
	<item>
		<title><![CDATA[Taxes and Venture Capital Support]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=171695]]></link>
		<description><![CDATA[In this paper a model of start-up finance is set up under double moral hazard. Entrepreneurs lack own resources and business experience to develop their ideas. Venture capitalists can provide start-up finance and commercial support. The effort put forth by either agent contributes to the firm's success, but is not...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Thu, 25 Mar 2004 00:00:00 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/venture+capital.html"><![CDATA[Venture Capital]]></category>
		<category domain="http://resources.bnet.com/topic/taxes.html"><![CDATA[Taxes]]></category>
		<category domain="http://resources.bnet.com/topic/investment.html"><![CDATA[Investment]]></category>
		<category domain="http://resources.bnet.com/topic/free+trade.html"><![CDATA[Free Trade]]></category>
		<category domain="http://resources.bnet.com/topic/finance.html"><![CDATA[Finance]]></category>
		<category domain="http://resources.bnet.com/topic/financing+startups.html"><![CDATA[Financing Startups]]></category>
		<category domain="http://resources.bnet.com/topic/financial+planning.html"><![CDATA[Financial Planning]]></category>
	</item>
	<item>
		<title><![CDATA[Regularization of Diffusion Tensor Maps Using a Non-Gaussian Markov Random Field Approach]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=123455]]></link>
		<description><![CDATA[This paper proposes a novel non-Gaussian MRF for regularization of tensor fields for fiber tract enhancement. Two entities are considered in the model, namely, the linear component of the tensor, i.e., how much line-like the tensor is and the angle of the eigenvector associated to the largest eigenvalue. A novel,...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 10 Nov 2003 00:00:00 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/network+technology.html"><![CDATA[Network Technology]]></category>
		<category domain="http://resources.bnet.com/topic/strategy.html"><![CDATA[Strategy]]></category>
		<category domain="http://resources.bnet.com/topic/networking.html"><![CDATA[Networking]]></category>
		<category domain="http://resources.bnet.com/topic/management.html"><![CDATA[Management]]></category>
	</item>
	<item>
		<title><![CDATA[Homomorphic Filtering of DT-MRI Fields]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=123457]]></link>
		<description><![CDATA[DT-MRI fields measure the self-diffusion of water in biological tissue and, hence, tensors from these fields must be symmetric positive definite PSD. However, due to a number of reasons this is not true for real data. Furthermore, it would be desirable to maintain that condition when tensor data are filtered....]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 10 Nov 2003 00:00:00 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/subsystem.html"><![CDATA[Subsystem]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
	</item>
	<item>
		<title><![CDATA[Geostatistical Medical Image Registration]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=123469]]></link>
		<description><![CDATA[This paper proposes a novel approach to landmark-based medical image registration based on the geostatical method of Kriging prediction. This method exploits the spatial statistical relation between two images, as estimated using general purpose registration algorithms, in order to construct an optimum predictor of the displacement field. High accuracy is...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 10 Nov 2003 00:00:00 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/registration.html"><![CDATA[Registration]]></category>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/engineering.html"><![CDATA[Engineering]]></category>
	</item>
	<item>
		<title><![CDATA[Tensor Splats: Visualizing Tensor Fields by Texture Mapped Volume Rendering]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=123470]]></link>
		<description><![CDATA[This paper describes a new method for visualizing tensor fields using a textured mapped volume rendering approach, tensor-splatting. It uses an image order method to calculate the 2D Gaussian splats or footprints of the projected 3D Gaussians at an arbitrary number of standard deviations from the centroid. These footprints are...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 10 Nov 2003 00:00:00 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
		<category domain="http://resources.bnet.com/topic/volume.html"><![CDATA[Volume]]></category>
	</item>
	<item>
		<title><![CDATA[New Approaches to Estimation of White Matter Connectivity in Diffusion Tensor MRI: Elliptic PDEs and Geodesics in a Tensor-Warped Space]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=123572]]></link>
		<description><![CDATA[This paper investigates new approaches to quantifying the white matter connectivity in the brain using Diffusion Tensor Magnetic Resonance Imaging data. Their first approach finds a steady-state concentration/ heat distribution using the three-dimensional tensor field as diffusion/ conductivity tensors. Their second approach casts the problem in a Riemannian framework, deriving...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Wed, 02 Oct 2002 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/springer+science%252bbusiness+media.html"><![CDATA[Springer Science+Business Media]]></category>
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