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Items: 1 to 20 of 95

1.

Visualizing natural image statistics.

Fang H, Tam GK, Borgo R, Aubrey AJ, Grant PW, Rosin PL, Wallraven C, Cunningham D, Marshall D, Chen M.

IEEE Trans Vis Comput Graph. 2013 Jul;19(7):1228-41. doi: 10.1109/TVCG.2012.312.

PMID:
23661013
2.

Visually defining and querying consistent multi-granular clinical temporal abstractions.

Combi C, Oliboni B.

Artif Intell Med. 2012 Feb;54(2):75-101. doi: 10.1016/j.artmed.2011.10.004. Epub 2011 Dec 15.

PMID:
22177662
3.

Comparing 2D vector field visualization methods: a user study.

Laidlaw DH, Kirby RM, Jackson CD, Davidson JS, Miller TS, da Silva M, Warren WH, Tarr MJ.

IEEE Trans Vis Comput Graph. 2005 Jan-Feb;11(1):59-70.

PMID:
15631129
4.

Visual perception and mixed-initiative interaction for assisted visualization design.

Healey C, Kocherlakota S, Rao V, Mehta R, St Amant R.

IEEE Trans Vis Comput Graph. 2008 Mar-Apr;14(2):396-411. doi: 10.1109/TVCG.2007.70436.

PMID:
18192718
5.

Visual signatures in video visualization.

Chen M, Botchen RP, Hashim RR, Weiskopf D, Ertl T, Thornton IM.

IEEE Trans Vis Comput Graph. 2006 Sep-Oct;12(5):1093-100.

PMID:
17080839
6.

First- and second-order information in natural images: a filter-based approach to image statistics.

Johnson AP, Baker CL Jr.

J Opt Soc Am A Opt Image Sci Vis. 2004 Jun;21(6):913-25.

PMID:
15191171
7.

Power spectra of the natural input to the visual system.

Pamplona D, Triesch J, Rothkopf CA.

Vision Res. 2013 May 3;83:66-75. doi: 10.1016/j.visres.2013.01.011. Epub 2013 Mar 1.

8.

Hierarchical aggregation for information visualization: overview, techniques, and design guidelines.

Elmqvist N, Fekete JD.

IEEE Trans Vis Comput Graph. 2010 May-Jun;16(3):439-54. doi: 10.1109/TVCG.2009.84.

PMID:
20224139
9.

An approach to the perceptual optimization of complex visualizations.

House DH, Bair AS, Ware C.

IEEE Trans Vis Comput Graph. 2006 Jul-Aug;12(4):509-21.

PMID:
16805260
10.

Benefitting InfoVis with visual difficulties.

Hullman J, Adar E, Shah P.

IEEE Trans Vis Comput Graph. 2011 Dec;17(12):2213-22. doi: 10.1109/TVCG.2011.175.

PMID:
22034340
11.

Human factors in visualization research.

Tory M, Möller T.

IEEE Trans Vis Comput Graph. 2004 Jan-Feb;10(1):72-84. Review.

PMID:
15382699
12.

Parametric study of EEG sensitivity to phase noise during face processing.

Rousselet GA, Pernet CR, Bennett PJ, Sekuler AB.

BMC Neurosci. 2008 Oct 3;9:98. doi: 10.1186/1471-2202-9-98.

13.

Statistics of natural image categories.

Torralba A, Oliva A.

Network. 2003 Aug;14(3):391-412.

PMID:
12938764
14.

Predicting the human reaction time based on natural image statistics in a rapid categorization task.

Mirzaei A, Khaligh-Razavi SM, Ghodrati M, Zabbah S, Ebrahimpour R.

Vision Res. 2013 Apr 5;81:36-44. doi: 10.1016/j.visres.2013.02.003. Epub 2013 Feb 16.

15.

Enhancing the classification accuracy of steady-state visual evoked potential-based brain-computer interfaces using phase constrained canonical correlation analysis.

Pan J, Gao X, Duan F, Yan Z, Gao S.

J Neural Eng. 2011 Jun;8(3):036027. doi: 10.1088/1741-2560/8/3/036027. Epub 2011 May 13.

PMID:
21566275
16.

Artistic representations: clues to efficient coding in human vision.

Graham DJ, Meng M.

Vis Neurosci. 2011 Jul;28(4):371-9. doi: 10.1017/S0952523811000162.

PMID:
21838937
17.

Analysis of visual acuity and motion resolvability as measures for optimal visual perception of the workspace.

Janabi-Sharifi F, Vakanski A.

Appl Ergon. 2011 Mar;42(3):473-86. doi: 10.1016/j.apergo.2010.09.008. Epub 2010 Oct 13.

PMID:
20947063
18.

The representation of location in visual images.

Cave KR, Pinker S, Giorgi L, Thomas CE, Heller LM, Wolfe JM, Lin H.

Cogn Psychol. 1994 Feb;26(1):1-32.

PMID:
8131378
19.

PET/CT image navigation and communication.

Ratib O.

J Nucl Med. 2004 Jan;45 Suppl 1:46S-55S. Review.

20.

Knowledge precepts for design and evaluation of information visualizations.

Amar RA, Stasko JT.

IEEE Trans Vis Comput Graph. 2005 Jul-Aug;11(4):432-42.

PMID:
16138553

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