Segmentation of Stochastic Images using ... - Jacobs University
Segmentation of Stochastic Images using ... - Jacobs University
Segmentation of Stochastic Images using ... - Jacobs University
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Bibliography<br />
[129] T. Preusser and M. Rumpf. An adaptive finite element method for large scale image processing.<br />
Journal <strong>of</strong> Visual Communication and Image Representation, 11(2):183–195, 2000.<br />
[130] T. Preusser, H. Scharr, K. Krajsek, and R. Kirby. Building blocks for computer vision with<br />
stochastic partial differential equations. International Journal <strong>of</strong> Computer Vision, 80(3):375–<br />
405, 2008.<br />
[131] S. Rajan, S. Wang, R. Inkol, and A. Joyal. Efficient approximations for the arctangent function.<br />
IEEE Signal Processing Magazine, 23(3):108–111, 2006.<br />
[132] M. M. Rao and R. J. Swift. Probability Theory with Applications. Springer-Verlag, 2006.<br />
[133] D. W. O. Rogers. Fifty years <strong>of</strong> Monte Carlo simulations for medical physics. Physics in<br />
Medicine and Biology, 51(13):R287–R301, 2006.<br />
[134] K. M. Rosenberg. CTSim – Open Source Computed Tomography Simulator. http://ctsim.org.<br />
[135] A. Saltelli, K. Chan, and E. Scott. Sensitivity analysis. Wiley series in probability and statistics.<br />
Wiley, 2000.<br />
[136] J. Serra. Image analysis and mathematical morphology. Number 1. Academic Press, 1982.<br />
[137] J. Sethian and P. Smereka. Level set methods for fluid interfaces. Annual Review <strong>of</strong> Fluid<br />
Mechanics, 35:341–372, 2003.<br />
[138] J. A. Sethian. Level Set Methods and Fast Marching Methods. Cambridge <strong>University</strong> Press,<br />
1999.<br />
[139] L. Shepp and B. Logan. The Fourier reconstruction <strong>of</strong> a head section. IEEE Transactions on<br />
Nuclear Science, 21(3):21–43, 1974.<br />
[140] S. Smolyak. Quadrature and interpolation formulas for tensor products <strong>of</strong> certain classes <strong>of</strong><br />
functions. Soviet Mathematics - Doklady, 4:240–243, 1963.<br />
[141] G. Stefanou, A. Nouy, and A. Clement. Identification <strong>of</strong> random shapes from images through<br />
polynomial chaos expansion <strong>of</strong> random level-set functions. International Journal for Numerical<br />
Methods in Engineering, 79(2):127–155, 2009.<br />
[142] J. Stubbe. Measure and integration 2009. Lecture notes, Institut de mathématiques d’analyse<br />
et applications, École polytechnique fédérale de Lausanne.<br />
[143] Y. Sun and C. Beckermann. Sharp interface tracking <strong>using</strong> the phase-field equation. Journal<br />
<strong>of</strong> Computational Physics, 220(2):626–653, 2007.<br />
[144] J. S. Suri, S. Laxminarayan, J. Gao, and L. Reden. Image segmentation via PDEs. In<br />
E. Micheli-Tzanakou, J. S. Suri, and S. Laxminarayan, editors, PDE and Level Sets: Algorithmic<br />
Approaches to Static and Motion Imagery, pages 153–223. Springer, 2002.<br />
[145] P. Therasse, S. G. Arbuck, E. A. Eisenhauer, J. Wanders, R. S. Kaplan, L. Rubinstein, J. Verweij,<br />
M. Van Glabbeke, A. T. van Oosterom, M. C. Christian, and S. G. Gwyther. New guidelines<br />
to evaluate the response to treatment in solid tumors. Journal <strong>of</strong> the National Cancer<br />
Institute, 92(3):205–216, 2000.<br />
[146] H. Tiesler, R. M. Kirby, D. Xiu, and T. Preusser. <strong>Stochastic</strong> collocation for optimal control<br />
problems with stochastic PDE constraints. Submitted to SIAM Journal on Optimization, 2010.<br />
128