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Computational and Mathematical Methods in Medicine
Volume 2015, Article ID 836202, 16 pages
http://dx.doi.org/10.1155/2015/836202
Research Article

Deep Adaptive Log-Demons: Diffeomorphic Image Registration with Very Large Deformations

College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, China

Received 31 October 2014; Revised 28 December 2014; Accepted 28 December 2014

Academic Editor: Yi Gao

Copyright © 2015 Liya Zhao and Kebin Jia. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Yong Lee, Hua Yang, and Zhouping Yin, “PIV-DCNN: cascaded deep convolutional neural networks for particle image velocimetry,” Experiments in Fluids, vol. 58, no. 12, 2017. View at Publisher · View at Google Scholar
  • Md. Azim Ullah, and S. M. Mahbubur Rahman, “Low-complexity nonrigid image registration using feature-based diffeomorphic log-demons,” Advances in Intelligent Systems and Computing, vol. 459, pp. 357–366, 2017. View at Publisher · View at Google Scholar
  • June-Goo Lee, Guk Bae Kim, Sanghoon Jun, Young-Won Cho, Hyunna Lee, Joon Beom Seo, and Namkug Kim, “Deep learning in medical imaging: General overview,” Korean Journal of Radiology, vol. 18, no. 4, pp. 570–584, 2017. View at Publisher · View at Google Scholar
  • Emir Skejić, Dušan Gleich, Amira Šerifović-Trbalić, and Damir Demirović, “Evaluation of free form deformation and demons registration with discontinuities,” Tehnicki Vjesnik, vol. 25, no. 1, pp. 302–307, 2018. View at Publisher · View at Google Scholar
  • Chang Wang, Qiongqiong Ren, Xin Qin, and Yi Yu, “Adaptive Diffeomorphic Multiresolution Demons and Their Application to Same Modality Medical Image Registration with Large Deformation,” International Journal of Biomedical Imaging, vol. 2018, pp. 1–9, 2018. View at Publisher · View at Google Scholar