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Connection

David Kennedy to Models, Neurological

This is a "connection" page, showing publications David Kennedy has written about Models, Neurological.
Connection Strength

0.442
  1. Desai M, Mangoubi R, Shah J, Karl W, Pien H, Worth A, Kennedy D. Functional MRI activity characterization using response time shift estimates from curve evolution. IEEE Trans Med Imaging. 2002 Nov; 21(11):1402-12.
    View in: PubMed
    Score: 0.201
  2. Patenaude B, Smith SM, Kennedy DN, Jenkinson M. A Bayesian model of shape and appearance for subcortical brain segmentation. Neuroimage. 2011 Jun 01; 56(3):907-22.
    View in: PubMed
    Score: 0.089
  3. Desai M, Kennedy DN, Mangoubi R, Shah J, Karl C, Worth A, Makris N, Pien H. Model-based variational smoothing and segmentation for diffusion tensor imaging in the brain. Neuroinformatics. 2006; 4(3):217-34.
    View in: PubMed
    Score: 0.063
  4. Dick AS, Lopez DA, Watts AL, Heeringa S, Reuter C, Bartsch H, Fan CC, Kennedy DN, Palmer C, Marshall A, Haist F, Hawes S, Nichols TE, Barch DM, Jernigan TL, Garavan H, Grant S, Pariyadath V, Hoffman E, Neale M, Stuart EA, Paulus MP, Sher KJ, Thompson WK. Meaningful associations in the adolescent brain cognitive development study. Neuroimage. 2021 10 01; 239:118262.
    View in: PubMed
    Score: 0.046
  5. Noble KG, Houston SM, Brito NH, Bartsch H, Kan E, Kuperman JM, Akshoomoff N, Amaral DG, Bloss CS, Libiger O, Schork NJ, Murray SS, Casey BJ, Chang L, Ernst TM, Frazier JA, Gruen JR, Kennedy DN, Van Zijl P, Mostofsky S, Kaufmann WE, Kenet T, Dale AM, Jernigan TL, Sowell ER. Family income, parental education and brain structure in children and adolescents. Nat Neurosci. 2015 May; 18(5):773-8.
    View in: PubMed
    Score: 0.030
  6. Fischl B, van der Kouwe A, Destrieux C, Halgren E, S?gonne F, Salat DH, Busa E, Seidman LJ, Goldstein J, Kennedy D, Caviness V, Makris N, Rosen B, Dale AM. Automatically parcellating the human cerebral cortex. Cereb Cortex. 2004 Jan; 14(1):11-22.
    View in: PubMed
    Score: 0.014
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.