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Table 2. Demographics of simultaneous catheterization- echocardiography subjects analyzed retrospectively

in diastolic
by Leonid Shmuylovich, Sándor J. Kovács, C. S. Chung, S. J. Kovacs, M. M. Riordan, E. P. Weiss, T. E. Meyer, A. A. Ehsani, S. B. Racette, D. T. Villareal, J. O. Holloszy, S. J. Kovacs, L. Shmuylovich, S. J. Kovacs, C. S. Chung, A. Strunc, R. Oliver, S. J. Kovacs 2006
"... In PAGE 4: ... However, no subject in either group had ongoing or active ischemia. Demographics are presented in Table2 . For each subject, 25 consec- utive E-waves and simultaneous LV pressures were analyzed.... ..."

Table 9. Simultaneous registration and cali- bration as a function of the noise levels in the initial estimates (L = 4; Ns = 100).

in Self-Calibration of a Light Striping System by Matching Multiple 3-D Profile Maps
by Olli Jokinen 1999
Cited by 10

Table 6. Advanced single subject registration by age 2001-2005

in unknown title
by unknown authors 2005
"... In PAGE 73: ....3.1.4 Table6 shows the number and percentage of 16-year-old students who registered for English Language, Maltese, Mathematics and Physics during the period 2001-2005. Table 6.... In PAGE 73: ....3.1.4 Table 6 shows the number and percentage of 16-year-old students who registered for English Language, Maltese, Mathematics and Physics during the period 2001-2005. Table6 . SEC registrations of the 16-year-old cohort for core subjects Year English Maltese Mathematics Physics Language 2001% 3712 3492 3435 3049 of 1985 cohort 68.... ..."

TABLE 1. Characteristics of 10 Schizophrenic and 10 Comparison Subjects in an fMRI Study of Auditory Processing

in unknown title
by unknown authors
Cited by 1

Table 4. Registration Times for T2- Weighted to MP-RAGE Data from the Vanderbilt Project

in Registration of Functional and Anatomical MRI: Accuracy Assessment and Application in Navigated Neurosurgery
by Torsten Rohlfing, Jay B. West, Jürgen Beier, Thomas Liebig, Christian A. Taschner, Ulrich-wilhelm Thomale
"... In PAGE 8: ....05, including Bonferroni adjustment). A possible explanation for the fact that registration was signif- icantly better than with the complete set when using set C, but not when using sets A and B, is that there was one more patient in the comparison be- tween the set C results and the complete set, which gives the t-test more power. Computational Efficiency Registration times for complete and all sparse T2- weighted sets of MRI images from the Vanderbilt project are presented in Table4 . All optimizations of the registration transformation were performed using a minimum step size of 10 mm for transla- tional and 0.... In PAGE 8: ... As the increased registration time for set C suggests, pa- tient 106 was a more difficult task to complete than the other patients even for that set. In addition to the times given in Table4 for an SGI workstation, some registrations were re- peated on a different computer system (Pentium II-based PC, 450 MHz clock speed, 384 MB of RAM, running Windows NT 4.0).... ..."

Table 3 Average validation results of EM-based method with population-speciflc atlas and non-rigid registration-based label propagation on four 2-year-old subjects using Dice metrics.

in Segmentation of Brain MRI in Young
by Maria Murgasova, Leigh Dyet, David Edwards, Mary Rutherford, Jo Hajnal, Daniel Rueckert

Table 2. Median registration errors for PET to MRI registration. PET images were registered to proton-density (PD), T1-, and T2-weighted MRI. Furthermore, MRI was available without (non-rectified) and with (rectified) field inhomogeneity correction applied. For a detailed description of image data and accuracy assessment see [3].

in Improving reliability and performance of voxel-based registration by coincidence thresholding and volume clipping
by Torsten Rohlfing, Jürgen Beier 1999
"... In PAGE 3: ... 3.2 Accuracy For PET to MRI registration, median errors using no thresholding, coincidence, and standard thresholding are given in Table2 .... ..."
Cited by 8

TABLE II. PARAMETERS OF THE PHANTOM

in Bayesian Kernel Methods for Analysis of Functional
by Ana S. Lukic, Miles N. Wernick, Senior Member, Dimitris G. Tzikas, Xu Chen, Aristidis Likas, Senior Member, Nikolas P. Galatsanos, Yongyi Yang, Senior Member, Fuqiang Zhao, Stephen C. Strother

Table 1 Parameter values fit jointly to psychophysical and fMRI data for subject djh

in Neuronal Basis of Contrast Discrimination
by Geoffrey M. Boynton, Jonathan B. Demb, Gary H. Glover, David J. Heeger

Table 2 Parameter values fit jointly to psychophysical and fMRI data for subject gmb

in Neuronal Basis of Contrast Discrimination
by Geoffrey M. Boynton, Jonathan B. Demb, Gary H. Glover, David J. Heeger
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