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TABLE II THE TOTAL NUMBER OF ACTIVE AGENTS USED IN LABELING THE HOMOGENEOUS REGIONS OF A BRAIN-SCAN IMAGE.

in Adaptive Image Segmentation with Distributed Behavior-Based Agents
by Jiming Liu, Yuan Y. Tang, Senior Member

Table 2 The RMS of the standard deviations of the homogenous areas for the original and filtered MRI datasets used in our experiments Heart Brain Whole body MRCP

in MRI diffusion-based filtering: A note on performance characterisation
by Ovidiu Ghita, Kevin Robinson, Michael Lynch, Paul F. Whelan 2004

Table 23. Average Payment, Finalised Brain Injury Claims

in NSW Motor Accidents Scheme CTP Claim Frequency, Injuries and Costs
by Prepared By The
"... In PAGE 43: ... Claim Cost In June 1995, 622 (43%) of brain injury claims were finalised. Table23 shows the average cost of these finalised claims according to the year of accident and the time taken to make the final payment.... ..."

Table 2. Calculated ratios for the Lam#13e constants for brain and skull tissue. Only those articles where material

in Nonrigid Matching of Tomographic Images Based on a Biomechanical Model of the Human Head
by A. Hagemann, K. Rohr, H.S. Stiehl, U. Spetzger, J.M. Gilsbach, Neurochirurgische Klinik, Universitatsklinik Der 1999
"... In PAGE 3: ... 30 In our approach, where the deformations are driven by given correspondences, only the ratios of the values of #15 and #16 are necessary.In Table2 , the calculated ratios for the Lam#13e constantvalues given in Table 1 are summarized. Analyzing Table 2 reveals the interesting fact that only a small number of di#0Berent Lam#13e constant ratios for brain tissue and skull bone exists.... In PAGE 3: ...InTable 2, the calculated ratios for the Lam#13e constantvalues given in Table 1 are summarized. Analyzing Table2 reveals the interesting fact that only a small number of di#0Berent Lam#13e constant ratios for brain tissue and skull bone exists. Application of these ratios in some initial synthetic experiments showed only slight di#0Berences in the resulting deformations.... In PAGE 4: ... For the simulation of di#0Berent anatomical structures, wehave to determine appropriate ratios for the Lam#13e con- stants between those di#0Berent structures. Following our previous practice for homogeneous materials, we calculated the ratios for the #15-values of skull bone and brain tissue and have also listed them in Table2 . Here, a larger variability the calculated ratios can be observed.... ..."
Cited by 5

Table 2. Physicochemical properties of various opioids used in anaesthesia. Adapted from [2] [3, 4].

in www. Avicenna.ag
by A. Pakdaman, A. Gorji, Editorial Board, Art Design, Druckform Köln, Enno Freye 2002
"... In PAGE 7: ... This is reflected in the dissociation coefficient, which is the speed with which the opioid ligand uncouples from the opioid receptor. In this regard opioids such as lofentanil and buprenorphine demonstrate a slow dissociation curve as measured in mouse brain homogenates ( Table2 ). The slow dissociation also characterizes the clinical long duration of the two opioids which is 8-10 hours for buprenorphine and 24 hours for lofentanil.... ..."

Table 1: MRI of formalin xed human brain: Automatic noise estimation on a series with di erent numbers of excitations, un ltered and ltered.

in Nonlinear Anisotropic Filtering Of MRI Data
by Guido Gerig, Olaf Kübler, Ron Kikinis, Ferenc A. Jolesz
"... In PAGE 9: ... We applied the ltering scheme to the 0:5 and 1 NEX images and compared the results to the un ltered 4 NEX acquisition. Table1 displays the results of measuring noise in the most homogeneous background and tissue regions. Noise in the ltered half-Fourier image is lower than in the 4 NEX image, demonstrating the e cient noise removing capacity of the ltering.... ..."

Table 3.5: Indonesia production function, average productivity of irrigated land, 1971-98 Model C Model D

in Determinants of Agricultural Growth in Indonesia, the Philippines, and Thailand
by Yair Mundlak, Donald F. Larson, Rita Butzer, Jerusalem Donald, F. Larson, Masayoshi Honma, Toshihiko Kawagoe, William Cuddihy
"... In PAGE 30: ... The public goods grew constantly. The strong trend in the variables is reflected in the correlation between the variables as can be seen in the correlation matrix in Table3 -A. Because of this correlation, the number of linear combination of the variables (principal components) needed to exhaust the information embedded in the regressors is rather sma ll.... In PAGE 31: ... There are two possible explanations for this relatively weak effect of the price variables: First, the price does not matter at all. This is not supported by the data because, as shown in Table3 A, the correlation between output and the wholesale price measure is 0.73.... In PAGE 31: ...73. Second, Table3 A shows that the inputs are also correlated with the price. It is therefore likely that much of the contribution of prices is channeled through the inputs, and it is the net direct effect of the price that is weak.... In PAGE 31: ... The reduction in the land elasticities is compensated by the increase in the labor elasticity. The correlation coefficient of labor with irrigated land and with capital is high ( Table3 A), and this may cause the variability in the estimates. Another striking difference from the results for the other two countries is the low capital elasticity.... In PAGE 66: ...84 1.00 Table3 -A: Correlation matrix for Indonesia variables, 1971-98 Output Irrigated land Rain-fed land Fertilizer Capital Labor Wholesale price ratio Price spread No education Roads Infant mortality Output 1.000 Irrigated land 0.... ..."

Table 2 Brain Region Brodmann

in unknown title
by unknown authors
"... In PAGE 14: ...arger at higher maintenance loads (i.e., showing a statistical interaction). Imaging Data Three different analyses of the whole-brain imaging data were conducted, one testing for maintenance effects, one testing for manipulation effects, and the other testing for interactions between maintenance and manipulation. The results of these whole-brain analyses are summarized in Table2 . In the sections that follow we focus exclusively on... ..."

TABLE IV TESTING FOR HOMOGENEITY

in On the Geographic Location of Internet Resources
by Anukool Lakhina , John W. Byers, Mark Crovella, Ibrahim Matta 2002
Cited by 36

TABLE IV TESTING FOR HOMOGENEITY

in On the Geographic Location of Internet Resources
by Anukool Lakhina, John W. Byers, Mark Crovella, Ibrahim Matta 2002
Cited by 36
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