The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Unified segmentation
Abstract
A probabilistic framework is presented that enables image registration, tissue classification, and bias correction to be combined within the same generative model. A derivation of a log-likelihood objective function for the unified model is provided. The model is based on a mixture of Gaussians and is extended to incorporate a smooth intensity variation and nonlinear registration with tissue probability maps. A strategy for optimising the model parameters is described, along with the requisite partial derivatives of the objective function.
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“Studies suggest that tobacco smokers have higher β2*-nAChR availability compared with non-smokers in non-psychiatric populations (34) which normalizes by 6–12 weeks of abstinence (44).”
From Persistent β 2 *-Nicotinic Acetylcholinergic Receptor Dysfunction in Major Depressive Disorder (2012) · cites this paper as [44]
Citations
Cites
Neural networks for pattern recognition
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Voxel-Based Morphometry—The Methods
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A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
Maximum Likelihood Reconstruction for Emission Tomography
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Spatial registration and normalization of images
Friston, K. J., Ashburner, J., Frith, C., Poline, J.-B., Heather, J. D., & Frackowiak, R. S. J. (1995) · Human Brain Mapping · doi:10.1002/hbm.460030303 · Cited by 3,744
Self-citation
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Sorted by citations
A fast diffeomorphic image registration algorithm
Ashburner, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.007 · Cited by 8,122
Self-citationThe multimodal brain tumor image segmentation benchmark (BRATS)
Menze, B. H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., Burren, Y., Porz, N., Slotboom, J., Wiest, R., et al. (2015) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2014.2377694 · Cited by 6,781
DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI
Yan (2010) · Frontiers in System Neuroscience · doi:10.3389/fnsys.2010.00013 · Cited by 3,475
A whole brain fMRI atlas generated via spatially constrained spectral clustering
Craddock, R. C., James, G. A., Holtzheimer, P. E., Hu, X. P., & Mayberg, H. S. (2012) · Human Brain Mapping · doi:10.1002/hbm.21333 · Cited by 1,636
Yan, C.-G., Cheung, B., Kelly, C., Colcombe, S., Craddock, R. C., Di Martino, A., Li, Q., Zuo, X.-N., Castellanos, F. X., & Milham, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.004 · Cited by 1,461
Metadata
- Authors
- Ashburner, J., & Friston, K. J.
- Affiliations
- National Hospital for Neurology and Neurosurgery (GB)
- Corresponding author
- Ashburner, John
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2005-07
- Volume
- 26
- Issue
- 3
- Pages
- 839-851
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W4230920194
- Cited by
- 7,507
- References
- 59
- Citations by year
- 2026: 314 · 2025: 414 · 2024: 450 · 2023: 386 · 2022: 460 · 2021: 507 · 2020: 479 · 2019: 449 · 2018: 434 · 2017: 442 · 2016: 445 · 2015: 458 · 2014: 441 · 2013: 454 · 2012: 380
- FWCI
- 81.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Brain Tumor Detection and Classification
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- probabilistic segmentation, image registration, tissue classification, bias correction, Gaussian mixture model, nonlinear registration, tissue probability maps, parameter optimization
- MeSH terms
- Algorithms, Brain Mapping, Data Interpretation, Statistical, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Models, Neurological, Probability Theory, Models, Statistical, Normal Distribution, Likelihood Functions, Fuzzy Logic, Nonlinear Dynamics
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