Optimization Method for Cell Image Registration

1. Oliveira, F.P.M. and Tavares, J.M.R.S., Medical image registration: A review, Comput. Methods Biomech. Biomed. Eng., 2014, vol. 17, no. 2, pp. 73–94.

   Article  Google Scholar 

2. Senyukova, O.V. and Zubov, A.Yu., Full anatomical labeling of magnetic resonance images of human brain by registration with multiple atlases, Program. Comput. Software, 2016, vol. 42, no. 6, pp. 356–360.

   Article  MathSciNet  Google Scholar 

3. Brown, L.G., A Survey of Image Registration Techniques, Columbia University, 1991, pp. 1–60.

   Google Scholar 

4. Sorokin, D.V., Suchankova, J., Bartova, E., and Matula, P., Visualizing stable features in live cell nucleus for evaluation of the cell global motion compensation, Folia Biologica, 2014, vol. 60, pp. 45–49.

   Google Scholar 

5. Zhao, Y., Yao, R., Ouyang, L., Ding, H., Zhang, T., Zhang, K., Cheng, S., and Sun, W., Three-dimensional printing of Hela cells for cervical tumor model in vitro, Biofabrication, 2014, vol. 6, pp. 1–10.

   Google Scholar 

6. Flusser, J. and Suk, T., A moment-based approach to registration of images with affine geometric distortion, IEEE Trans. Geosci. Remote Sens., 1994, vol. 32, no. 2, pp. 382–387.

   Article  Google Scholar 

7. Ashburner, J., A fast diffeomorphic image registration algorithm, NeuroImage, 2007, vol. 38, pp. 95–113.

   Article  Google Scholar 

8. Reddy, B.S. and Chatterji, B.N., An FFT-based technique for translation, rotation, and scale-invariant image registration, IEEE Trans. Image Process., 1996, vol. 5, no. 8, pp. 1266–1271.

   Article  Google Scholar 

9. Maes, F., Vandermeulen, D., and Suetens, P., Medical image registration using mutual information, Proc. Institute of Electrical and Electronics Engineers (IEEE), 2003, vol. 91, no. 10, pp. 1699–1722.

   Article  Google Scholar 

10. Amintoosi, M., Fathy, M., and Mozayani, N., Precise image registration with structural similarity error measurement applied to superresolution, EURASIP J. Adv. Signal Process., 2009, pp. 23–30.

11. Avants, B.B., Epstein, C.L., Grossman, M., and Gee, J.C., Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain, Med. Image Anal., 2008, vol. 12, no. 1, pp. 26–41.

    Article  Google Scholar 

12. Sitdikov, I., Guryanov, F., and Krylov, A.S., Accelerated mutual entropy maximization for biomedical image registration, Proc. Image Processing Theory, Tools, and Applications, 2015, pp. 337–340.

    Book  Google Scholar 

13. Guryanov, F.A. and Krylov, A.S., Optimization of correlation methods for registration of biomedical images, Trudy 27-oi Mezhdunarodnoi konferentsii po komp’yuternoi grafike i mashinnomu zreniyu (Proc. 27th Int. Conf. Computer Graphics and Machine Vision), 2017, pp. 253–258.

14. Guryanov, F. and Krylov, A.S., Fast medical image registration using bidirectional empirical mode decomposition, Signal Process. Image Commun., 2017, vol. 59, pp. 12–17.

    Article  Google Scholar 

15. Bhuiyan, S.M.A., Adhami, R.R., and Khan, J.F., A novel approach of fast and adaptive bidimensional empirical mode decomposition, IEEE Int. Conf. Acoustics, Speech, and Signal Processing, 2008, pp. 1313–1316.

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