Elizabeth Bullitt

Computer Vision and Pattern Recognition · 2002–2011

A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #7,526 of 21,575 by trust here, #7,499 by citations
• Geometry and Topology — 7 citations into it; #6,373 of 7,422 by trust here, #5,008 by citations

Whom Elizabeth Bullitt trusts overall

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

1. Michael I. Miller
2. Guido Gerig
3. Hermann Karcher
4. Peter J. Rousseeuw
5. Xavier Pennec
6. W. Härdle
7. Chris A. Cocosco
8. Sarang C. Joshi
9. S. Buss
10. Matt P. Wand

Who trusts Elizabeth Bullitt overall

1. Ender Konukoglu
2. Charu C. Aggarwal
3. M. Sofka
4. N. Gordillo
5. Ben Glocker
6. Nicu D. Cornea
7. Darko Zikic
8. Stefan Bauer
9. Charles V. Stewart
10. Brad Davis

Papers from Elizabeth Bullitt's perspective

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

1. Landmark matching via large deformation diffeomorphisms (IEEE Transactions on Image Processing)
2. Group Actions, Homeomorphisms, and Matching: A General Framework (International Journal of Computer Vision)
3. On the metrics and euler-lagrange equations of computational anatomy. (Annual Review of Biomedical Engineering)
4. Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms (International Journal of Computer Vision)
5. A Fast Algorithm for the Minimum Covariance Determinant Estimator
6. A fully automatic and robust brain MRI tissue classification method (Medical Image Anal.)
7. Riemannian center of mass and mollifier smoothing
8. Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
9. A brain tumor segmentation framework based on outlier detection (Medical Image Anal.)
10. Level-set evolution with region competition: automatic 3-D segmentation of brain tumors (Object recognition supported by user interaction for service robots)

Their papers

• A brain tumor segmentation framework based on outlier detection (2004) — 709 citations
• Level-set evolution with region competition: automatic 3-D segmentation of brain tumors (2002) — 308 citations
• Ultrasonics, Ferroelectrics, and Frequency Control (2011) — 157 citations
• Population Shape Regression from Random Design Data (2007) — 325 citations
• Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction (2002) — 686 citations