Emma J. Burton

Geometry and Topology · 2003–2004

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Emma J. Burton trusts overall

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

  1. John Ashburner
  2. Karl J. Friston
  3. Catriona D. Good
  4. Ingrid S. Johnsrude
  5. Jack L. Lancaster
  6. G. Karas
  7. H. Braak
  8. Gaël Chételat
  9. Richard S. J. Frackowiak

Who trusts Emma J. Burton overall

  1. Ender Konukoglu
  2. Ben Glocker

Papers from Emma J. Burton's perspective

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

  1. Voxel-based morphometry--the methods.
  2. A voxel-based morphometric study of ageing in 465 normal adult human brains (5th IEEE EMBS International Summer School on Biomedical Imaging, 2002.)
  3. "Voxel-Based Morphometry" Should Not Be Used with Imperfectly Registered Images (NeuroImage)
  4. Why Voxel-Based Morphometry Should Be Used
  5. Mathematical/computational challenges in creating deformable and probabilistic atlases of the human brain (Human Brain Mapping)
  6. Voxel-Based Morphometry Using the RAVENS Maps: Methods and Validation Using Simulated Longitudinal Atrophy
  7. Neuropathological stageing of Alzheimer-related changes
  8. Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas.
  9. Statistical parametric maps in functional imaging: A general linear approach
  10. In Vivo Mapping of Gray Matter Loss with Voxel-Based Morphometry in Mild Alzheimer's Disease (NeuroImage)

Their papers