Anjali Krishnan

Radiology, Nuclear Medicine and Imaging · 2011–2020

A researcher in the Science corpus: 9 papers; trusts 13 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Anjali Krishnan trusts overall

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

  1. Hervé Abdi
  2. Anthony Randal McIntosh
  3. Tor D. Wager
  4. Thomas E. Nichols
  5. Stephen M. Smith
  6. Yoav Benjamini
  7. Nancy J. Lobaugh
  8. Bruce Fischl
  9. Brian B. Avants
  10. R. Craddock

Who trusts Anjali Krishnan overall

  1. Ellen Bialystok
  2. Gabriel Ziegler
  3. Ender Konukoglu
  4. Christian F. Baumgartner
  5. Demis Hassabis
  6. Bratislav Misic
  7. Nora Leonardi
  8. Henk R. Cremers
  9. Anders Eklund
  10. R. Nathan Spreng

Papers from Anjali Krishnan's perspective

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

  1. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  2. Statistical parametric maps in functional imaging: A general linear approach
  3. 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)
  4. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
  5. Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate (NeuroImage)
  6. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain (NeuroImage)
  7. A global optimisation method for robust affine registration of brain images (Medical Image Anal.)
  8. Accurate and Robust Brain Image Alignment using Boundary-based Registration (NeuroImage)
  9. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference (NeuroImage)
  10. Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration (NeuroImage)

Their papers