Segmentation-guided Medical Image Registration
Author:
Publisher
Springer Fachmedien Wiesbaden
Link
https://link.springer.com/content/pdf/10.1007/978-3-658-44037-4_13
Reference13 articles.
1. Spieker V, Eichhorn H, Hammernik K, Rueckert D, Preibisch C, Karampinos DC et al. Deep learning for retrospective motion correction in MRI: a comprehensive review. IEEE Trans Med Imaging. 2023.
2. Heinrich MP, Papież BW. Image registration with sliding motion. Handbook of Medical Image Computing and Computer Assisted Intervention. Elsevier, 2020:293–318.
3. Ruhaak J, Polzin T, Heldmann S, Simpson IJA, Handels H, Modersitzki J et al. Estimation of large motion in lung CT by integrating regularized keypoint correspondences into dense deformable registration. IEEE Trans Med Imaging. 2017;36(8):1746–57.
4. Balakrishnan G, Zhao A, Sabuncu MR, Guttag J, Dalca AV. VoxelMorph: a learning framework for deformable medical image registration. 2018.
5. Xu Z, Niethammer M. DeepAtlas: joint semi-supervised learning of image registration and segmentation. 2019.
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