Atlas Construction via Dictionary Learning and Group Sparsity
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Summary
Experimental results demonstrate that the proposed patch-based sparse representation method can enhance the quality of built atlas by discovering more anatomical details especially in cortical regions, and perform better in a neonatal data normalization application, compared to other existing start-of-the-art nonlinear neonatal brain atlases.
- Type
- article
- Published
- 2012-10-01
- Cited by
- 9
- References
- 12
- Access
- Open access
- OpenAlex
- https://openalex.org/W1910136425
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:18769329
Keywords
Atlas (anatomy), Computer science, Spatial normalization, Artificial intelligence, Normalization (sociology)
References
- Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization
- A dynamic 4D probabilistic atlas of the developing brain
- Sparse coding and decorrelation in primary visual cortex during natural vision.
- Multi-Contrast Human Neonatal Brain Atlas: Application to Normal Neonate Development Analysis
- Feature‐based groupwise registration by hierarchical anatomical correspondence detection
- Diffeomorphic demons: Efficient non-parametric image registration
- Towards robust and effective shape modeling: Sparse shape composition
- Image Super-Resolution Via Sparse Representation
- Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression
- Regression Shrinkage and Selection via the Lasso
- Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Sets
- LABEL: Pediatric brain extraction using learning-based meta-algorithm
- journal homepage: www.elsevier.com/locate/ynimg
Cited by
- Boosted multifold sparse representation with application to ILD classification
- Neonatal Atlas Construction Using Sparse Representation
- Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies
- Prostatome: a combined anatomical and disease based MRI atlas of the prostate.
- Group sparse reconstruction for image segmentation
- Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials
- Wavelets and sparse methods for image reconstruction and classification in neuroimaging
- tlas-based liver segmentation and hepatic fat-fraction assessment or clinical trials
- ADAPTIVE SHAPE PRIOR MODELING VIA ONLINE DICTIONARY LEARNING
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