Anton L. Beer

Cognitive Neuroscience · 2011–2013

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Anton L. Beer trusts overall

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

  1. Bruce Fischl
  2. Florent Ségonne
  3. Timothy Edward John Behrens
  4. A. M. Dale
  5. Mark William Woolrich
  6. Stephen M. Smith
  7. Mark Jenkinson
  8. Marco Catani
  9. Heidi Johansen-Berg
  10. James K. Rilling

Who trusts Anton L. Beer overall

  1. Micah M. Murray
  2. Antonia Thelen
  3. E. Striem-Amit
  4. Tina Plank
  5. S. Ovadia-Caro

Papers from Anton L. Beer's perspective

Ordered by how strongly the researchers Anton L. Beer 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. Virtual in Vivo Interactive Dissection of White Matter Fasciculi in the Human Brain (NeuroImage)
  4. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
  5. Geometrically Accurate Topology-Correction of Cortical Surfaces Using Nonseparating Loops (IEEE Transactions on Medical Imaging)
  6. Advances in functional and structural MR image analysis and implementation as FSL.
  7. Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex (IEEE Transactions on Medical Imaging)
  8. A hybrid approach to the skull stripping problem in MRI (NeuroImage)
  9. Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo (Magnetic Resonance in Medicine)
  10. Characterization and propagation of uncertainty in diffusion‐weighted MR imaging (Magnetic Resonance in Medicine)

Their papers