The DOI matches its Crossref record; 69 of the 71 references it cites were found in a registry or an index.
Variational Methods for Multimodal Image Matching
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“General approaches address multimodal image registration by either performing image synthesis [22, 23] to change the problem to a uni-modal image registration task, or by proposing complex, hand-crafted [24, 25, 26, 27] or learned [28, 29, 30, 31, 32] multi-modal image similarity measures.”
From Quicksilver: Fast predictive image registration – A deep learning approach (2017) · cites this paper as [28]
Citations
Cites
Partial Differential Equations
Chern, S.-S. (1988) · Lecture notes in mathematics · doi:10.1007/bfb0082920 · Cited by 23,546
Scale-space and edge detection using anisotropic diffusion
Perona, P., & Malik, J. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.56205 · Cited by 12,143
(1981) · Cited by 11,963
Mean shift: a robust approach toward feature space analysis
Comaniciu, D., & Meer, P. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.1000236 · Cited by 11,523
On Estimation of a Probability Density Function and Mode
Parzen, E. (1962) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177704472 · Cited by 10,831
Horn, B. K. P., & Schunck, B. G. (1981) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.965761 · Cited by 7,443
Multimodality image registration by maximization of mutual information
Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., & Suetens, P. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.563664 · Cited by 4,547
Medical image analysis: progress over two decades and the challenges ahead
Duncan, J. S., & Ayache, N. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.824822 · Cited by 4,167
Three-dimensional computer vision: a geometric viewpoint
(1994) · Choice Reviews Online · doi:10.5860/choice.32-0357 · Cited by 3,032
Alignment by Maximization of Mutual Information
Viola, P. A., & Wells, W. M. (1997) · International Journal of Computer Vision · doi:10.1023/a:1007958904918 · Cited by 2,610
Research works printed but not linked: 3
- Christensen, G., Miller, M., and Vannier, M. 1994. A 3d deformable magnetic resonance textbook based on elasticity. In Proceedings of the American Association for Artificial Intelligence, Symposium: Applications of Computer Vision in Medical Image Processing.
- Hata, N., Dohi, T., Warfield, S.,, Kikinis, R., and Jolesz, F.A. 1998. Multi-modality deformable regristration of pre-and intra-operative images for mri-guided brain surgery. In First International Conference on Medical Image Computing and Computer-Assisted Intervention. G. Goos and J. Hartmanis (Eds.), vol. 1496 of Lecture Notes in Computer Science. Springer: Berlin.
- Toga, A., (Ed.). 1998. Brain Warping. Academic Press.
Cited by
Sorted by citations
Avants, B., Epstein, C. L., Grossman, M., & Gee, J. C. (2007) · Medical Image Analysis · doi:10.1016/j.media.2007.06.004 · Cited by 5,924
A reproducible evaluation of ANTs similarity metric performance in brain image registration
Avants, B. B., Tustison, N. J., Song, G., Cook, P. A., Klein, A., & Gee, J. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.025 · Cited by 4,796
Diffeomorphic demons: Efficient non-parametric image registration
Vercauteren, T. K., Xavier Pennec, B., Aymeric Perchant, B., & Ayache, N. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.040 · Cited by 1,653
Deformable medical image registration: a survey
Sotiras, A., Davatzikos, C., & Paragios, N. (2013) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2265603 · Cited by 1,587
Medical image registration: a review
Oliveira, F. P. M., & Tavares, J. M. R. S. (2012) · Computer Methods in Biomechanics & Biomedical Engineering · doi:10.1080/10255842.2012.670855 · Cited by 782
Metadata
- Authors
- Hermosillo, G., Chefd'Hotel, C., & Faugeras, O.
- Affiliations
- Institut national de recherche en sciences et technologies du numérique (FR)
- ORCID
- Faugeras, Olivier
- Venue
- International Journal of Computer Vision
- Published
- 2002-12
- Volume
- 50
- Issue
- 3
- Pages
- 329-343
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W1518961746
- Cited by
- 388
- References
- 71
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 4 · 2023: 5 · 2022: 4 · 2021: 12 · 2020: 8 · 2019: 12 · 2018: 7 · 2017: 12 · 2016: 8 · 2015: 16 · 2014: 28 · 2013: 27 · 2012: 30
- FWCI
- 19.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Journal of Computer Vision (publishedVersion)
- Funders
- National Science Foundation
- Institut national de recherche en informatique et en automatique (INRIA)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Keywords
- multimodal image registration, non-rigid registration, variational methods, statistical similarity measures, optical flow, well-posedness
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review