Arthur K. Liu

IEEE Transactions on Medical Imaging · 2000–2001

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Whom Arthur K. Liu trusts overall

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

  1. Bruce Fischl

Who trusts Arthur K. Liu overall

  1. Bruce Fischl
  2. David H. Salat
  3. A. M. Dale
  4. Martin H. Teicher
  5. Hiroshi Shibasaki
  6. Polina Golland
  7. Anton L. Beer
  8. Bradford C. Dickerson
  9. Martin Reuter
  10. Christian K. Tamnes

Papers from Arthur K. Liu's perspective

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

  1. Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI. (NeuroImage)
  2. 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)
  3. Differential Geometry of Curves and Surfaces
  4. Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children (Journal of Neuroscience)
  5. Effects of age on tissues and regions of the cerebrum and cerebellum. (Neurobiology of Aging)
  6. Aging, sexual dimorphism, and hemispheric asymmetry of the cerebral cortex: replicability of regional differences in volume. (Neurobiology of Aging)
  7. Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. (Cerebral Cortex)
  8. Mapping the evolution of regional atrophy in Alzheimer's disease: Unbiased analysis of fluid-registered serial MRI (Proceedings of the National Academy of Sciences of the United States of America)
  9. Normal sexual dimorphism of the adult human brain assessed by in vivo magnetic resonance imaging. (Cerebral Cortex)
  10. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)

Their papers