Donald J. Hagler Jr.

Radiology, Nuclear Medicine and Imaging · 2006–2018

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Donald J. Hagler Jr. trusts overall

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

  1. Bruce Fischl
  2. Christopher R. Genovese
  3. Moo K. Chung
  4. Nicole A. Lazar
  5. A. M. Dale
  6. John G. Sled
  7. Florent Ségonne
  8. John Ashburner
  9. Alexander Leemans
  10. S. Robbins

Who trusts Donald J. Hagler Jr. overall

  1. B. Ettinger
  2. J. Hill
  3. Andreas Engvig
  4. Krzysztof J. Gorgolewski
  5. Simona Perotto
  6. Anders M. Fjell
  7. T. Inder

Papers from Donald J. Hagler Jr.'s perspective

Ordered by how strongly the researchers Donald J. Hagler Jr. 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. Voxel-based morphometry--the methods.
  3. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  4. Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters (NeuroImage)
  5. Advances in functional and structural MR image analysis and implementation as FSL.
  6. A nonparametric method for automatic correction of intensity nonuniformity in MRI data
  7. Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate (NeuroImage)
  8. Multiband Multislice GE-EPI at 7 Tesla, With 16-Fold Acceleration Using Partial Parallel Imaging With Application to High Spatial and Temporal Whole-Brain FMRI (Magnetic Resonance in Medicine)
  9. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. (Journal of Neurophysiology)
  10. Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory (Journal of Neuroscience)

Their papers