the Alzheimer’s Disease Neuroimaging Initiative

Radiology, Nuclear Medicine and Imaging · 2024

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom the Alzheimer’s Disease Neuroimaging Initiative trusts

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

  1. John Ashburner (in Radiology, Nuclear Medicine and Imaging)
  2. Bruce Fischl (in Radiology, Nuclear Medicine and Imaging)

Papers from the Alzheimer’s Disease Neuroimaging Initiative's perspective

Ordered by how strongly the researchers the Alzheimer’s Disease Neuroimaging Initiative 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. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  3. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  4. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference (NeuroImage)
  5. Permutation inference for the general linear model (NeuroImage)
  6. Construction of a 3D probabilistic atlas of human cortical structures (NeuroImage)
  7. A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging (NeuroImage)
  8. Diffeomorphic registration using geodesic shooting and Gauss–Newton optimisation (NeuroImage)
  9. A curvature-based approach to estimate local gyrification on the cortical surface (NeuroImage)
  10. Anatomically motivated modeling of cortical laminae (NeuroImage)

Their papers