Daniel S. Marcus

Radiology, Nuclear Medicine and Imaging · 2004–2019

A researcher in the Science corpus: 12 papers; trusts 10 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel S. Marcus trusts overall

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

  1. Randy L. Buckner
  2. David H. Salat
  3. Denise Head
  4. Abraham Z. Snyder
  5. Bruce Fischl
  6. Marcelo Arenas
  7. Stephen M. Smith
  8. Yongyue Zhang
  9. John C. Morris
  10. Martin Andreas Styner

Who trusts Daniel S. Marcus overall

  1. Guha Balakrishnan
  2. Adrian V. Dalca
  3. Hanchuan Peng
  4. Jean-Baptiste Poline
  5. Amy Zhao
  6. Pim Moeskops
  7. Alan C. Evans
  8. Christian Wachinger
  9. Russell A. Poldrack
  10. Tony C. W. Mok

Papers from Daniel S. Marcus's perspective

Ordered by how strongly the researchers Daniel S. Marcus 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. Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory (Journal of Neuroscience)
  3. A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual… (NeuroImage)
  4. Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis (NeuroImage)
  5. Differential vulnerability of anterior white matter in nondemented aging with minimal acceleration in dementia of the Alzheimer type: evidence from diffusion tensor imaging. (Cerebral Cortex)
  6. Dynamics of Gray Matter Loss in Alzheimer's Disease (Journal of Neuroscience)
  7. Mild cognitive impairment represents early-stage Alzheimer disease. (Archives of Neurology)
  8. Thinning of the cerebral cortex in aging. (Cerebral Cortex)
  9. Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
  10. Correspondence of the brain's functional architecture during activation and rest

Their papers