Kathryn L. Mills

Cognitive Neuroscience · 2014–2017

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Kathryn L. Mills trusts overall

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

  1. Bruce Fischl
  2. Sarah-Jayne Blakemore
  3. Martin Reuter
  4. Laurence Steinberg
  5. Florent Ségonne
  6. John G. Sled
  7. Ian A. Apperly
  8. Iroise Dumontheil
  9. Catherine Lebel
  10. ChrisD . Frith

Who trusts Kathryn L. Mills overall

  1. Amy C. Orben
  2. Livia Tomova
  3. O. Attanasio
  4. Sarah-Jayne Blakemore
  5. Simon Ciranka

Papers from Kathryn L. Mills's perspective

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

  1. 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)
  2. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  3. A nonparametric method for automatic correction of intensity nonuniformity in MRI data
  4. 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)
  5. Mapping cortical change across the human life span (Nature Neuroscience)
  6. A hybrid approach to the skull stripping problem in MRI (NeuroImage)
  7. Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex (IEEE Transactions on Medical Imaging)
  8. Highly Accurate Inverse Consistent Registration: A Robust Approach (NeuroImage)
  9. Geometrically Accurate Topology-Correction of Cortical Surfaces Using Nonseparating Loops (IEEE Transactions on Medical Imaging)
  10. Within-subject template estimation for unbiased longitudinal image analysis (NeuroImage)

Their papers