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David Kennedy to Reproducibility of Results

This is a "connection" page, showing publications David Kennedy has written about Reproducibility of Results.

 
Connection Strength
 
 
 
0.479
 
  1. Kennedy DN, Haselgrove C, Makris N, Goldin DM, Lev MH, Caplan D, Caviness VS. WebParc: a tool for analysis of the topography and volume of stroke from MRI. Med Biol Eng Comput. 2010 Mar; 48(3):215-28.
    View in: PubMed
    Score: 0.099
  2. Makris N, Kaiser J, Haselgrove C, Seidman LJ, Biederman J, Boriel D, Valera EM, Papadimitriou GM, Fischl B, Caviness VS, Kennedy DN. Human cerebral cortex: a system for the integration of volume- and surface-based representations. Neuroimage. 2006 Oct 15; 33(1):139-53.
    View in: PubMed
    Score: 0.077
  3. 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: 0.059
  4. Bandrowski A, Brush M, Grethe JS, Haendel MA, Kennedy DN, Hill S, Hof PR, Martone ME, Pols M, Tan SC, Washington N, Zudilova-Seinstra E, Vasilevsky N. The Resource Identification Initiative: A Cultural Shift in Publishing. J Comp Neurol. 2016 Jan 01; 524(1):8-22.
    View in: PubMed
    Score: 0.037
  5. Patenaude B, Smith SM, Kennedy DN, Jenkinson M. A Bayesian model of shape and appearance for subcortical brain segmentation. Neuroimage. 2011 Jun 1; 56(3):907-22.
    View in: PubMed
    Score: 0.026
  6. Kim BW, Kennedy DN, Lehár J, Lee MJ, Blood AJ, Lee S, Perlis RH, Smoller JW, Morris R, Fava M, Breiter HC. Recurrent, robust and scalable patterns underlie human approach and avoidance. PLoS One. 2010 May 26; 5(5):e10613.
    View in: PubMed
    Score: 0.025
  7. Zhang N, Rane P, Huang W, Liang Z, Kennedy D, Frazier JA, King J. Mapping resting-state brain networks in conscious animals. J Neurosci Methods. 2010 Jun 15; 189(2):186-96.
    View in: PubMed
    Score: 0.025
  8. Babalola KO, Patenaude B, Aljabar P, Schnabel J, Kennedy D, Crum W, Smith S, Cootes T, Jenkinson M, Rueckert D. An evaluation of four automatic methods of segmenting the subcortical structures in the brain. Neuroimage. 2009 Oct 1; 47(4):1435-47.
    View in: PubMed
    Score: 0.023
  9. Nishida M, Makris N, Kennedy DN, Vangel M, Fischl B, Krishnamoorthy KS, Caviness VS, Grant PE. Detailed semiautomated MRI based morphometry of the neonatal brain: preliminary results. Neuroimage. 2006 Sep; 32(3):1041-9.
    View in: PubMed
    Score: 0.019
  10. Napadow V, Dhond R, Kennedy D, Hui KK, Makris N. Automated brainstem co-registration (ABC) for MRI. Neuroimage. 2006 Sep; 32(3):1113-9.
    View in: PubMed
    Score: 0.019
  11. O'Brien LM, Ziegler DA, Deutsch CK, Kennedy DN, Goldstein JM, Seidman LJ, Hodge S, Makris N, Caviness V, Frazier JA, Herbert MR. Adjustment for whole brain and cranial size in volumetric brain studies: a review of common adjustment factors and statistical methods. Harv Rev Psychiatry. 2006 May-Jun; 14(3):141-51.
    View in: PubMed
    Score: 0.019
  12. Jovicich J, Czanner S, Greve D, Haley E, van der Kouwe A, Gollub R, Kennedy D, Schmitt F, Brown G, Macfall J, Fischl B, Dale A. Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data. Neuroimage. 2006 Apr 1; 30(2):436-43.
    View in: PubMed
    Score: 0.018
  13. Makris N, Schlerf JE, Hodge SM, Haselgrove C, Albaugh MD, Seidman LJ, Rauch SL, Harris G, Biederman J, Caviness VS, Kennedy DN, Schmahmann JD. MRI-based surface-assisted parcellation of human cerebellar cortex: an anatomically specified method with estimate of reliability. Neuroimage. 2005 May 1; 25(4):1146-60.
    View in: PubMed
    Score: 0.018
  14. Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C, van der Kouwe A, Killiany R, Kennedy D, Klaveness S, Montillo A, Makris N, Rosen B, Dale AM. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron. 2002 Jan 31; 33(3):341-55.
    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.