The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images
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“All data sets were corrected for head motion, eddy currents and susceptibility distortions and are, in general, of very high quality69–73.”
From Tractography-based connectomes are dominated by false-positive connections (2016) · cites this paper as [73]
In the citing paper
“Additionally, participants were excluded in the following cases: acute suicidality (one autistic participant), self- or other-harming behaviour (no participants), excessive motion in the MRI scanner (one autistic participant; defined as mean framewise displacement above 0.55 mm or maximum framewise displacement above 5 mm based on Jenkinson et al., 2002)”
From Are prediction error modifications domain specific in autism but domain general in ADHD? (2025) · cites this paper as Jenkinson et al., 2002
In the citing paper
“Ground truth registration was defined by way of consistency analysis (Jenkinson et al 2002), in which multiple, independently performed registrations converged to the same result, and that result was judged sensible as assessed by a clinical expert.”
From Robust 3D–2D image registration: application to spine interventions and vertebral labeling in the presence of anatomical deformation (2013) · cites this paper as Jenkinson et al 2002
Citations
Cites
A global optimisation method for robust affine registration of brain images
Jenkinson, M., & Smith, S. M. (2001) · Medical Image Analysis · doi:10.1016/s1361-8415(01)00036-6 · Cited by 7,018
Self-citationMultimodality 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
Movement‐Related effects in fMRI time‐series
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Spatial registration and normalization of images
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Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · cited 5×
“9), all with the MNI 305 brain (Collins et al., 1994) as the reference image.”
BackgroundMethodInfluentialA survey of medical image registration
Maintz, J. B. A., & Viergever, M. A. (1998) · Medical Image Analysis · doi:10.1016/s1361-8415(01)80026-8 · Cited by 3,314
Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data
Woolrich, M. W., Ripley, B. D., Brady, M., & Smith, S. M. (2001) · NeuroImage · doi:10.1006/nimg.2001.0931 · Cited by 2,859
Self-citationMRI-PET Registration with Automated Algorithm
Woods, R. P., Mazziotta, J. C., & Cherry, A. S. R. (1993) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199307000-00004 · Cited by 1,636
Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques
West, J. B., Fitzpatrick, J. M., Wang, M. Y., Dawant, B. M., Maurer, C. R., KESSLER, R. M., Maciunas, R. J., Barillot, C., Lemoine, D., Collignon, A. M. F., et al. (1997) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199707000-00007 · Cited by 883
Recent Developments in Nonparametric Density Estimation
Izenman, A. J. (1991) · Journal of the American Statistical Association · doi:10.2307/2289732 · Cited by 464
Maes, F., Vandermeulen, D., & Suetens, P. (1999) · Medical Image Analysis · doi:10.1016/s1361-8415(99)80030-9 · Cited by 393
Automated 3-D registration of MR and CT images of the head
Studholme, C., Hill, D., & Hawkes, D. J. (1996) · Medical Image Analysis · doi:10.1016/s1361-8415(96)80011-9 · Cited by 374
A Registration and Interpolation Procedure for Subvoxel Matching of Serially Acquired MR Images
Hajnal, J. V., Saeed, N., Soar, E. J., Oatridge, A., YOUNG, I. R., & Bydder, G. M. (1995) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199503000-00022 · Cited by 303
Detection of Subtle Brain Changes Using Subvoxel Registration and Subtraction of Serial MR Images
Hajnal, J. V., Saeed, N., Oatridge, A., Williams, E. J., Young, I. R., & Bydder, G. M. (1995) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199509000-00001 · Cited by 154
Cachier, P., & Rey, D. (2000) · Lecture notes in computer science · doi:10.1007/978-3-540-40899-4_48 · Cited by 79
Biswal, B. B., & Hyde, J. S. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910380315 · Cited by 50
Motion Correction Algorithms of the Brain Mapping Community Create Spurious Functional Activations
Freire, L., & Mangin, J. (2001) · Lecture notes in computer science · doi:10.1007/3-540-45729-1_27 · Cited by 16
20th International Conference on Information Processing in Medical Imaging 2007
(2006) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2006.886742 · Cited by 13
Flagged first, then by citations
Research works printed but not linked: 1
- Press, 1995
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Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
Self-citationThe organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Smith, S. M., Jenkinson, M., Johansen‐Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,598
Self-citationThe minimal preprocessing pipelines for the Human Connectome Project
Glasser, M. F., Sotiropoulos, S. N., Wilson, J. A., Coalson, T. S., Fischl, B., Andersson, J. L., Xu, J., Jbabdi, S., Webster, M., Polimeni, J. R., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.127 · Cited by 5,253
Self-citation
Metadata
- Authors
- Jenkinson, M., Bannister, P., Brady, M., & Smith, S.
- Affiliations
- John Radcliffe Hospital (GB)
- University of Oxford (GB)
- Corresponding author
- Jenkinson, Mark
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2002-10
- Volume
- 17
- Issue
- 2
- Pages
- 825-841
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2052644075
- Cited by
- 11,888
- References
- 18
- Citations by year
- 2026: 738 · 2025: 819 · 2024: 853 · 2023: 847 · 2022: 824 · 2021: 841 · 2020: 885 · 2019: 743 · 2018: 720 · 2017: 663 · 2016: 663 · 2015: 611 · 2014: 521 · 2013: 477 · 2012: 351
- FWCI
- 44.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Medical Research Council
- Engineering and Physical Sciences Research Council
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- linear registration, brain image registration, motion correction, optimization methods, local minima, global-local optimization, multi-resolution registration, interpolation methods, registration accuracy
- MeSH terms
- Acoustic Stimulation, Algorithms, Brain, Computer Simulation, Data Interpretation, Statistical, Humans, Image Interpretation, Computer-Assisted, Models, Neurological, Motion, Photic Stimulation, Reproducibility of Results, Linear Models, Fuzzy Logic
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