N. Schmansky

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom N. Schmansky trusts overall

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

  1. Bruce Fischl
  2. Philippe Thévenaz
  3. Florent Ségonne
  4. Martin Reuter
  5. Mark Jenkinson
  6. Simon Mason
  7. Stephen M. Smith
  8. David H. Salat
  9. Thierry Blu
  10. John G. Sled

Who trusts N. Schmansky overall

  1. Juan Eugenio Iglesias
  2. Martin Reuter
  3. Xiao Yang
  4. Lara M. Wierenga
  5. Jorge L. Bernal-Rusiel

Papers from N. Schmansky's perspective

Ordered by how strongly the researchers N. Schmansky 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. Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis (NeuroImage)
  4. A fast diffeomorphic image registration algorithm (NeuroImage)
  5. Interpolation Revisited (IEEE Trans. Medical Imaging)
  6. Geometrically Accurate Topology-Correction of Cortical Surfaces Using Nonseparating Loops (IEEE Transactions on Medical Imaging)
  7. Interpolation revisited [medical images application] (IEEE Transactions on Medical Imaging)
  8. Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex (IEEE Transactions on Medical Imaging)
  9. Automatically parcellating the human cerebral cortex. (Cerebral Cortex)
  10. Geodesic estimation for large deformation anatomical shape averaging and interpolation. (NeuroImage)

Their papers