Tracy H. Wang

Cognitive Neuroscience · 2007

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Tracy H. Wang trusts overall

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

  1. Randy L. Buckner
  2. Denise Head
  3. Abraham Z. Snyder
  4. Daniel S. Marcus
  5. Yongyue Zhang
  6. David H. Salat

Who trusts Tracy H. Wang overall

  1. Guha Balakrishnan
  2. Adrian V. Dalca
  3. Amy Zhao
  4. Pim Moeskops
  5. Tony C. W. Mok
  6. Jyoti Islam
  7. Alexandre de Brébisson
  8. John V. Guttag
  9. Xiao Yang
  10. Russell A. Poldrack

Papers from Tracy H. Wang's perspective

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

  1. A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual… (NeuroImage)
  2. Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory (Journal of Neuroscience)
  3. Mild cognitive impairment represents early-stage Alzheimer disease. (Archives of Neurology)
  4. Thinning of the cerebral cortex in aging. (Cerebral Cortex)
  5. Frontal-hippocampal double dissociation between normal aging and Alzheimer's disease.
  6. Parametric estimate of intensity inhomogeneities applied to MRI (IEEE Transactions on Medical Imaging)
  7. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  8. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
  9. Neurotechnique Whole Brain Segmentation: Automated Labeling of Neuroanatomical Structures in the Human Brain
  10. Measures of brain morphology and infarction in the framingham heart study: establishing what is normal. (Neurobiology of Aging)

Their papers