David W. Shattuck

Computer Vision and Pattern Recognition · 2000–2010

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #5,820 of 21,575 by trust here, #5,464 by citations
• Radiology, Nuclear Medicine and Imaging — 19 citations into it; #323 of 3,265 by trust here, #565 by citations
• Cognitive Neuroscience — 12 citations into it; #10,161 of 10,852 by trust here, #3,702 by citations

Whom David W. Shattuck trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Dzung L. Pham
2. John G. Sled
3. William E. Lorensen
4. Julian Besag
5. Stephen M. Smith
6. Jerry L Prince
7. D. V. Van Essen
8. D. Marr
9. Alex P. Zijdenbos
10. Alan C. Evans

Who trusts David W. Shattuck overall

1. Torsten Rohlfing
2. Pedro Cavaleiro Miranda
3. Eileen Luders
4. Daoqiang Zhang
5. Antonios Makropoulos
6. Paul M. Thompson
7. Juan Eugenio Iglesias
8. Arthur W. Toga
9. David E. Rex
10. Fabian Isensee

Papers from David W. Shattuck's perspective

Ordered by how strongly the researchers David W. Shattuck trusts endorse each paper. Same corpus, a different order for every researcher.

1. A nonparametric method for automatic correction of intensity nonuniformity in MRI data
2. On the Statistical Analysis of Dirty Pictures
3. Measuring the thickness of the human cerebral cortex from magnetic resonance images. (Proceedings of the National Academy of Sciences of the United States of America)
4. Magnetic resonance image tissue classification using a partial volume model. (NeuroImage)
5. Adaptive fuzzy segmentation of magnetic resonance images
6. Pattern classification and scene analysis
7. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion (NeuroImage)
8. HAMMER: hierarchical attribute matching mechanism for elastic registration (IEEE Transactions on Medical Imaging)
9. Fast robust automated brain extraction
10. Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children (Journal of Neuroscience)

Their papers

• Visualization of image data from cells to organisms (2010) — 987 citations
• Construction of a 3D probabilistic atlas of human cortical structures (2008) — 1,202 citations
• Magnetic resonance image tissue classification using a partial volume model. (2001) — 1,052 citations
• BrainSuite: An Automated Cortical Surface Identification Tool (2000) — 933 citations