Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks
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Sokooti et al. presented a multi-scale network to learn a deformation field of intra-subject 3D chest CT registration, using random DVF as supervision.
“Sokooti et al. (77) presented a multi-scale network to learn a deformation field of intra-subject 3D chest CT registration. They used random DVF as supervision.”
From A review of deep learning-based deformable medical image registration (2022) · cites this paper as [77]
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Cites
Flownet: Learning optical flow with convolutional networks
Dosovitskiy, A., Fischer, P., Ilg, E., Hausser, P., Hazirbas, C., Golkov, V., Smagt, P. V. D., Cremers, D., & Brox, T. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.316 · Cited by 4,313 · see citing works
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
Kamnitsas, K., Ledig, C., Newcombe, V. F. J., Simpson, J. P., Kane, A. D., Menon, D. K., Rueckert, D., & Glocker, B. (2017) · Medical Image Analysis · doi:10.1016/j.media.2016.10.004 · Cited by 3,498 · cited 2× · see citing works
“Similar multi-scale approaches has been shown effective for segmentation [7].”
BackgroundMethodA CNN Regression Approach for Real-Time 2D/3D Registration
Miao, S., Wang, Z. J., & Liao, R. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2521800 · Cited by 514 · see citing works
An artificial agent for robust image registration
Liao, R., Miao, S., De Tournemire, P., Grbic, S., Kamen, A., Mansi, T., & Comaniciu, D. (2017) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v31i1.11230 · Cited by 199 · see citing works
Fast Predictive Image Registration
Yang, X., Kwitt, R., & Niethammer, M. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46976-8_6 · Cited by 127 · see citing works
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A deep learning framework for unsupervised affine and deformable image registration
de Vos, B. D., Berendsen, F. F., Viergever, M. A., Sokooti, H., Staring, M., & Išgum, I. (2019) · Medical Image Analysis · doi:10.1016/j.media.2018.11.010 · Cited by 818 · see citing works
Self-citationDeep learning in medical image registration: a survey
Haskins, G., Kruger, U., & Yan, P. (2020) · Machine Vision and Applications · doi:10.1007/s00138-020-01060-x · Cited by 704 · see citing works
Deep learning in medical image registration: a review
Fu, Y., Lei, Y., Wang, T., Curran, W. J., Liu, T., & Yang, X. (2020) · Physics in Medicine & Biology · doi:10.1088/1361-6560/ab843e · Cited by 661 · see citing works
Medical image registration using deep neural networks: A comprehensive review
Boveiri, H. R., Khayami, R., Javidan, R., & Mehdizadeh, A. (2020) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2020.106767 · Cited by 179 · see citing works
A review of deep learning-based deformable medical image registration
Zou, J., Gao, B., Song, Y., & Qin, J. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.1047215 · Cited by 91 · see citing works
- Authors
- Sokooti, H., de Vos, B., Berendsen, F., Lelieveldt, B. P. F., Išgum, I., & Staring, M.
- Affiliations
- Leiden University Medical Center (NL)
- University Medical Center Utrecht (NL)
- Corresponding author
- Sokooti, Hessam
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2017
- Pages
- 232-239
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2751297520
- Cited by
- 340
- References
- 5
- Citations by year
- 2026: 6 · 2025: 25 · 2024: 34 · 2023: 36 · 2022: 45 · 2021: 45 · 2020: 57 · 2019: 66 · 2018: 24 · 2017: 2
- FWCI
- 11.91
- Type
- conference paper
- Language
- en
- Open access
- green
- pure.amsterdamumc.nl
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- deformable image registration, multi-scale convolutional neural network, RegNet, B-spline registration, learning-based registration
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