MARM: Multiscale adaptive regression models for neuroimaging data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5636 LNCS, Issue , 2009, Pages 314-325

  Zhu, Hongtu ^a,b   Li, Yimei ^a   Ibrahim, Joseph G ^a   Lin, Weili ^b   Shen, Dinggang ^b  

^a IL   (United States)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ANALYSIS; ALZHEIMER'S DISEASE; BRAIN ATROPHY; FALSE NEGATIVES; FALSE POSITIVE; FINITE SAMPLE PERFORMANCE; GROUND TRUTH; IMAGE DATA; IMAGING DATA; KEY FEATURE; MULTISCALES; NEURO-IMAGING; PARAMETER ESTIMATE; REGRESSION MODEL; SHARP EDGES; SIMULATION STUDIES; SMALL SPHERES; SPATIAL DEPENDENCE; SPATIAL PATTERNS; STATISTICAL ANALYSIS; STATISTICAL MODELS;

DATA PROCESSING; REGRESSION ANALYSIS; SAMPLING; SIMULATORS; SPHERES; STATISTICAL TESTS; THREE DIMENSIONAL; TWO DIMENSIONAL;

MEDICAL IMAGING;

AGED; ALGORITHM; ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL INTELLIGENCE; ATROPHY; AUTOMATED PATTERN RECOGNITION; BRAIN; EVALUATION; FEMALE; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

AGED; ALGORITHMS; ALZHEIMER DISEASE; ARTIFICIAL INTELLIGENCE; ATROPHY; BRAIN; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 70349321440     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02498-6_26     Document Type: Conference Paper

References (19)

1. Thompson, P.M., Cannon, T.D., Toga, A.W.: Mapping Genetic Influences on Human Brain Structure. The Annals of Medicine 24, 523-536 (2002)
2. Friston, K.J.: Statistical Parametric Mapping: the Analysis of Functional Brain Images. Academic Press, London (2007)
3. Rogers, B.P., Morgan, V.L., Newton, A.T., Gore, J.C.: Assessing Functional Connectivity in the Human Brain by FMRI. Magnetic Resonance Imaging 25(10), 1347-1357 (2007)
4. Huettel, S.A., Song, A.W., McCarthy, G.: Functional Magnetic Resonance Imaging. Sinauer Associates, Inc. (2004)
5. Friston, K., Holmes, A.P., Worsley, K.J., Poline, J.B., Frith, C.D., Frackowiak, R.S.J.: Statistical Parametric Maps in Functional Imaging: a General Linear Approach. Human Brain Mapping 2, 189-210 (1995)
6. Beckmann, C.F., Jenkinson, M., Smith, S.M.: General Multilevel Linear Modeling for Group Analysis in fMRI. NeuroImage 20, 1052-1063 (2003)
7. Nichols, T., Hayasaka, S.: Controlling the Family-wise Error Rate in Functional Neuroimaging: a Comparative Review. Statistical Methods in Medical Research 12, 419-446 (2003)
8. Worsley, K.J., Taylor, J.E., Tomaiuolo, F., Lerch, J.: Unified Univariate and Mul-tivariate Random Field Theory. NeuroImage 23, 189-195 (2004)
9. Tabelow, K., Polzehl, J., Voss, H.U., Spokoiny, V.: Analyzing fMRI Experiments with Structural Adaptive Smoothing Procedures. NeuroImage 33, 55-62 (2006)
10. Benjamini, Y., Hochberg, Y.: Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society, Ser. B 57, 289-300 (1995)
11. Polzehl, J., Spokoiny, V.G.: Image Denoising: Pointwise Adaptive Approach. Annals of Statistics 31, 30-57 (2003)
12. Polzehl, J., Spokoiny, V.G.: Propagation-Separation Approach for Local Likelihood Estimation. Probab. Theory Relat. Fields 135, 335-362 (2006)
13. Qiu, P.: Image Processing and Jump Regression Analysis. John Wiley & Sons, New York (2005)
14. Bowman, F.D.: Spatio-temporal Models for Region of Interest Analyses of Functional Mappping Experiments. Journal of American Statistical Association 102, 442-453 (2007)
15. Luo, W., Nichols, T.: Diagnosis and Exploration of Massively Univariate fMRI Models. NeuroImage 19, 1014-1032 (2003)
16. Lindsay, B.G.: Composite Likelihood Methods. Contemp. Math. 80, 221-240 (1988)
17. Varin, C.: On Composite Marginal Likelihoods. Advances in Statistical Analysis 92, 1-28 (2008)
18. Robbins, H., Monro, S.: A Stochastic Approximation Method. Annals of Mathematical Statistics 22, 400-407 (1951)
19. Xue, Z., Shen, D., Karacali, B., Stern, J., Rottenberg, D., Davatzikos, C.: Simulating Deformations of MR Brain Images for Validation of Atlas-based Segmentation and Registration Algorithms. NeuroImage 33, 855-866 (2006)