DOI: 10.1007/s11263-008-0168-y. Adaptive Stochastic Gradient Descent Optimisation for Image Registration

Adaptive Stochastic Gradient Descent Optimisation for Image Registration

10.1007/s11263-008-0168-y

Crossref journal-article

Springer Science and Business Media LLC

International Journal of Computer Vision (297)

Bibliography

Klein, S., Pluim, J. P. W., Staring, M., & Viergever, M. A. (2008). Adaptive Stochastic Gradient Descent Optimisation for Image Registration. International Journal of Computer Vision, 81(3), 227â239.

Authors 4

Stefan Klein (first)
Josien P. W. Pluim (additional)
Marius Staring (additional)
Max A. Viergever (additional)

References 23 Referenced 316

Collignon, A., Maes, F., Delaere, D., Vandermeulen, D., Suetens, P., & Marchal, G. (1995). Automated multi-modality image registration based on information theory. In Bizais, Y., Barillot, C., Di Paola, R. (Eds.), Information Processing in Medical Imaging (pp. 263–274). Dordrecht: Kluwer Academic. / Information Processing in Medical Imaging by A. Collignon (1995)
Cruz, P. (2005a). Almost sure convergence and asymptotical normality of a generalization of Kesten’s stochastic approximation algorithm for multidimensional case (Technical Report). Cadernos de Matemática, Série de Investigação, Collection of University of Aveiro, Department of Mathematics. http://193.136.81.248/dspace/handle/2052/74 .
Cruz, P. (2005b). Aproximação estocástica com valor do passo adaptativo. PhD thesis, University of Aveiro, Department of Mathematics. http://193.136.81.248/dspace/handle/2052/103 .
Dice, L. R. (1945). Measures of the amount of ecologic association between species. Ecology, 26(3), 297–302. (10.2307/1932409) / Ecology by L. R. Dice (1945)
Hermosillo, G., Chefd’hotel, C., & Faugeras, O. (2002). Variational methods for multimodal image matching. International Journal of Computer Vision, 50(3), 329–343. (10.1023/A:1020830525823) / International Journal of Computer Vision by G. Hermosillo (2002)
Hu, S., Hoffman, E. A., & Reinhardt, J. M. (2001). Automatic lung segmentation for accurate quantitation of volumetric X-Ray CT images. IEEE Transactions on Medical Imaging, 20(6), 490–498. (10.1109/42.929615) / IEEE Transactions on Medical Imaging by S. Hu (2001)
Klein, S., Staring, M., & Pluim, J. P. W. (2007). Evaluation of optimization methods for nonrigid medical image registration using mutual information and B-splines. IEEE Transactions on Image Processing, 16(12), 2879–2890. (10.1109/TIP.2007.909412) / IEEE Transactions on Image Processing by S. Klein (2007)
Kushner, H. J., & Yin, G. G. (2003). Stochastic Approximation and Recursive Algorithms and Applications (2nd edn.) New York: Springer. / Stochastic Approximation and Recursive Algorithms and Applications by H. J. Kushner (2003)
Maintz, J. B. A., & Viergever, M. A. (1998). A survey of medical image registration. Medical Image Analysis, 2(1), 1–36. (10.1016/S1361-8415(01)80026-8) / Medical Image Analysis by J. B. A. Maintz (1998)
Modersitzki, J. (2004). Numerical Methods for Image Registration. London: Oxford University Press. / Numerical Methods for Image Registration by J. Modersitzki (2004)
Petersen, K. B., & Pedersen, M. S. (2007). The Matrix Cookbook. http://matrixcookbook.com .
Plakhov, A., & Cruz, P. (2004). A stochastic approximation algorithm with step size adaptation. Journal of Mathematics and Sciences, 120(1), 964–973. (10.1023/B:JOTH.0000013559.37579.b2) / Journal of Mathematics and Sciences by A. Plakhov (2004)
Pluim, J. P. W., Maintz, J. B. A., & Viergever, M. A. (2003). Mutual-information-based registration of medical images: a survey. IEEE Transactions on Medical Imaging, 22(8), 986–1004. (10.1109/TMI.2003.815867) / IEEE Transactions on Medical Imaging by J. P. W. Pluim (2003)
Robbins, H., & Monro, S. (1951). A stochastic approximation method. Annals of Mathematical Statistics, 22(3), 400–407. (10.1214/aoms/1177729586) / Annals of Mathematical Statistics by H. Robbins (1951)
Rueckert, D., Sonoda, L. I., Hayes, C., Hill, D. L. G., Leach, M. O., & Hawkes, D. J. (1999). Nonrigid registration using free-form deformations: Application to breast MR images. IEEE Transactions on Medical Imaging, 18(8), 712–721. (10.1109/42.796284) / IEEE Transactions on Medical Imaging by D. Rueckert (1999)
Schäfer, J., & Strimmer, K. (2005). A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics. Statistical Applications in Genetics and Molecular Biology, 4(1), article 32. (10.2202/1544-6115.1175)
Shi, Z. J., & Shen, J. (2005). Step-size estimation for unconstrained optimization methods. Computational & Applied Mathematics, 24(3), 399–416. / Computational & Applied Mathematics by Z. J. Shi (2005)
Sluimer, I., Prokop, M., & van Ginneken, B. (2005). Toward automated segmentation of the pathological lung in CT. IEEE Transactions on Medical Imaging, 24(8), 1025–1038. (10.1109/TMI.2005.851757) / IEEE Transactions on Medical Imaging by I. Sluimer (2005)
Thévenaz, P., & Unser, M. (2000). Optimization of mutual information for multiresolution image registration. IEEE Transactions on Image Processing, 9(12), 2083–2099. (10.1109/83.887976) / IEEE Transactions on Image Processing by P. Thévenaz (2000)
Viola, P., & Wells III, W. M. (1995). Alignment by maximization of mutual information. In Grimson, E., Shafer, S., Blake, A., & Sugihara, K. (Eds.), International Conference on Computer Vision (pp. 16–23). Los Alamitos: IEEE Computer Society Press. (10.1109/ICCV.1995.466930) / International Conference on Computer Vision by P. Viola (1995)
Vysochanskij, D. F., & Petunin, Y. I. (1980). Justification of the 3σ rule for unimodal distributions. Theory of Probability and Mathematical Statistics, 21, 25–36. / Theory of Probability and Mathematical Statistics by D. F. Vysochanskij (1980)
West, J., et al. (1997). Comparison and evaluation of retrospective intermodality brain image registration techniques. Journal of Computer Assisted Tomography, 21(4), 554–566. (10.1097/00004728-199707000-00007) / Journal of Computer Assisted Tomography by J. West (1997)
Zitová, B., & Flusser, J. (2003). Image registration methods: a survey. Image and Vision Computing, 21(11), 977–1000. (10.1016/S0262-8856(03)00137-9) / Image and Vision Computing by B. Zitová (2003)

Dates

Type	When
Created	16 years, 11 months ago (Aug. 27, 2008, 8:06 a.m.)
Deposited	6 years, 4 months ago (April 18, 2019, 6:49 a.m.)
Indexed	1 month ago (July 19, 2025, 11:47 p.m.)
Issued	16 years, 11 months ago (Aug. 28, 2008)
Published	16 years, 11 months ago (Aug. 28, 2008)
Published Online	16 years, 11 months ago (Aug. 28, 2008)
Published Print	16 years, 5 months ago (March 1, 2009)

Funders 0

None

BibTeX

@article{Klein_2008, title={Adaptive Stochastic Gradient Descent Optimisation for Image Registration}, volume={81}, ISSN={1573-1405}, url={http://dx.doi.org/10.1007/s11263-008-0168-y}, DOI={10.1007/s11263-008-0168-y}, number={3}, journal={International Journal of Computer Vision}, publisher={Springer Science and Business Media LLC}, author={Klein, Stefan and Pluim, Josien P. W. and Staring, Marius and Viergever, Max A.}, year={2008}, month=aug, pages={227–239} }

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