Bibliography

Aguirre et al., 1998

Aguirre, G. K., Zarahn, E., and D'Esposito, M. (1998).
A critique of the use of the Kolmogorov-Smirnov (KS) statistic for the analysis of BOLD fMRI data.
Magnetic Resonance in Medicine, 39:500-505.

Alldredge and Gilb, 1976

Alldredge, J. R. and Gilb, N. S. (1976).
Ridge regression: An annotated bibliography.
International Statistical Review, 44(3):355-360.

Andersen et al., 1997

Andersen, L. N., Larsen, J., Hansen, L. K., and Hintz-Madsen, M. (1997).
Adaptive regularization of neural classifiers.
In Principe, J., editor, Proceedings of the IEEE Workshop on Neural Networks for Signal Processing VII, Florida, USA, pages 24-33, Piscataway, New Jersey. IEEE.

Ardekani and Kanno, 1998

Ardekani, B. A. and Kanno, I. (1998).
Statistical methods for detecting activated regions in functional MRI of the brain.
Magnetic Resonance in Imaging, 16(10):1217-1225.

Ardekani et al., 1999

Ardekani, B. A., Kershaw, J., Kashikura, K., and Kanno, I. (1999).
Activation detection in functional MRI using subspace modeling and maximum likelihood estimation.
IEEE Transaction on Medical Imaging, 18(2):101-114.

Belliveau et al., 1996

Belliveau, J., Fox, P., Kennedy, D., Rosen, B., and Ungeleider, L., editors (1996).
Second International Conference on Functional Mapping of the Human Brain, volume 3. Academic Press.

Bishop, 1995

Bishop, C. M. (1995).
Neural Networks for Pattern Recognition.
Oxford University Press, Oxford, UK.

Fletcher et al., 1996

Fletcher, P. C., Dolan, R. J., Shallice, T., Frith, C. D., Franckowiak, R. S. J., and Friston, K. J. (1996).
Is multivariate analysis of PET data more revealing than the univariate approach? Evidence from a study of episodic memory retrieval.
NeuroImage, 3:209-215.

Friberg et al., 1997

Friberg, L., Gjedde, A., Holm, S., Lassen, N. A., and Nowak, M., editors (1997).
Third International Conference on Functional Mapping of the Human Brain, NeuroImage, volume 5. Academic Press.

Friston et al., 1995a

Friston, K. J., Frith, C. D., Frackowiak, R. S. J., and Turner, R. (1995a).
Characterizing dynamic brain responses with fMRI: A multivariate approach.
NeuroImage, 2(2):166-172.

Friston et al., 1995b

Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J.-B., Frith, C. D., and Frackowiak, R. S. J. (1995b).
Statistical parametric maps in functional imaging: A general linear approach.
Human Brain Mapping, 2(4):189-210.

Friston et al., 1994

Friston, K. J., Jezzard, P., and Turner, R. (1994).
The analysis of functional MRI time-series.
Human Brain Mapping, 1(2):153-171.

Gold et al., 1998

Gold, S., Christian, B., Arndt, S., Zeien, G., Cizadlo, T., Johnson, D. L., Flaum, M., and Andreasen, N. C. (1998).
Functional MRI statistical software packages: A comparative analysis.
Human Brain Mapping, 6(2):73-84.

Goutte et al., 2000

Goutte, C., Nielsen, F. Å., and Hansen, L. K. (2000).
Modeling the haemodynamic response in fMRI using smooth FIR filters.
IEEE Transactions on Medical Imaging, 19(12):1188-1201.

Goutte et al., 1998

Goutte, C., Nielsen, F. Å., Svarer, C., Rostrup, E., and Hansen, L. K. (1998).
Space-time analysis of fMRI by feature space clustering.
In Paus, T., Gjedde, A., and Evans, A. C., editors, Fourth International Conference on Functional Mapping of the Human Brain. NeuroImage, volume 7, page S610. Academic Press.

Goutte et al., 1999

Goutte, C., Toft, P., Rostrup, E., Nielsen, F. Å., and Hansen, L. K. (1999).
On clustering fMRI time series.
NeuroImage, 9(3):298-310.

Hansen, 1996

Hansen, P. C. (1996).
Rank-Deficient and Discrete Ill-Posed Problems.
Polyteknisk Forlag, Lyngby, Denmark.
Doctoral Dissertation.

Hartigan and Wong, 1979

Hartigan, J. A. and Wong, M. A. (1979).
Algorithm AS136. a K-means clustering algorithm.
Applied Statistics, 28:100-108.

Haykin, 1994

Haykin, S. (1994).
Neural Networks.
Macmillan College Publishing Company, New York.

Hertz et al., 1991

Hertz, J., Krogh, A., and Palmer, R. G. (1991).
Introduction to the Theory of Neural Computation.
Addison-Wesley, Redwood City, Califonia, 1st edition.
Santa Fe Institute.

Hintz-Madsen et al., 1996a

Hintz-Madsen, M., Hansen, L. K., Larsen, J., Olesen, E., and Drzewiechi, K. T. (1996a).
Detection of malignant melanoma using neural classifiers.
In A.B. Bulsari, S. K. and Tsaptsinos, D., editors, Proceedings of International Conference on Engineerings Applications on Neural Networks, pages 395-398.

Hintz-Madsen et al., 1995

Hintz-Madsen, M., Hansen, L. K., Larsen, J., Olesen, E., and Drzewiecki, K. T. (1995).
Design and evaluation of neural classifiers, application to skin lesion classification.
In IEEE Workshop on Neural Networks for Signal Processing.
NNSP'95.

Hintz-Madsen et al., 1996b

Hintz-Madsen, M., Pedersen, M. W., Hansen, L. K., and Larsen, J. (1996b).
Design and evaluation of neural classifiers.
In S. Usui, Y. Tohkura, S. K. and Wilson, E., editors, Proceedings of the IEEE Workshop on Neural Networks for Signal Processing VI, pages 223-232.

Hoerl and Kennard, 1970a

Hoerl, A. E. and Kennard, R. W. (1970a).
Ridge regression: Application to nonorthogonal problems.
Technometrics, 12(1):69-82.

Hoerl and Kennard, 1970b

Hoerl, A. E. and Kennard, R. W. (1970b).
Ridge regression: Biased estimation for nonorthogonal problems.
Technometrics, 12(1):55-67.

Jackson, 1991

Jackson, J. E. (1991).
A user's guide to principal components.
Wiley Series in Probability and Mathematical Statistics: Applied Probability and Statistics. John Wiley & Sons, New York.

Lange et al., 1996

Lange, N., Hansen, L. K., Pedersen, M. W., Savoy, R. L., and Strother, S. C. (1996).
A concordance correlation coefficient reproducibility of spatial activation patterns.
In [Belliveau et al., 1996], page S75.

Lange and Zeger, 1997

Lange, N. and Zeger, S. L. (1997).
Non-linear fourier time series analysis for human brain mapping by functional magnetic resonance imaging (with discussion).
Applied Statistics, Journal of the Royal Statistical Society, Series C, 46(1):1-29.

Le Cun et al., 1990

Le Cun, Y., Denker, J. S., and Solla, S. A. (1990).
Optimal brain damage.
In Touretzky, D. S., editor, Advances in Neural Information Processing Systems: Proceedings of the 1989 Conference, pages 598-605, San Mateo, CA. Morgan-Kaufmann.
NIPS-2.

Liptrot et al., 2003

Liptrot, M., Adams, K. H., Matiny, L., Pinborg, L. H., Lonsdale, M. N., Olesen, N. V., Holm, S., Svarer, C., and Knudsen, G. M. (2003).
Cluster analysis in kinetic modelling of the brain: A noninvasive alternative to arterial sampling.
NeuroImage.
In press.

Locascio et al., 1997

Locascio, J. J., Jennings, P. J., Moore, C. I., and Corkin, S. (1997).
Time series analysis in the time domain and resampling methods for studies of functional magnetic resonance brain imaging.
Human Brain Mapping, 5(5):168-193.

Lundsager and Kristensen, 1996

Lundsager, B. and Kristensen, B. L. (1996).
Lineær og ulineær modellering af positron emission tomografier.
Master's thesis, Department of Mathematical Modelling, Technical University of Denmark, Lyngby, Denmark.
In Danish.

MacQueen, 1967

MacQueen, J. (1967).
Some methods for classification and analysis of multivariate observations.
In Le Cam, L. M. and Neyman, J., editors, Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, volume 1, pages 281-297, Berkeley, Califonia. University of California Press.

Mardia et al., 1979

Mardia, K. V., Kent, J. T., and Bibby, J. M. (1979).
Multivariate Analysis.
Probability and Mathematical Statistics. Academic Press, London.

McIntosh et al., 1996

McIntosh, A. R., Bookstein, F. L., Haxby, J. V., and Grady, C. L. (1996).
Spatial pattern analysis of functional brain images using Partial Least Square.
NeuroImage, 3(3 part 1):143-157.

Mørch et al., 1996

Mørch, N. J. S., Hansen, L. K., Strother, S. C., Law, I., Svarer, C., Lautrup, B., Anderson, J. R., Lange, N., and Paulson, O. B. (1996).
Generalization performance of nonlinear vs. linear models for [$\,^{15}$O]water PET functional activation studies.
In [Belliveau et al., 1996], page S258.

Mørch et al., 1995

Mørch, N. J. S., Kjems, U., Hansen, L. K., Svarer, C., Law, I., Lautrup, B., Strother, S. C., and Rehm, K. (1995).
Visualization of neural networks using saliency maps.
In Proceedings of 1995 IEEE International Conference on Neural Networks, volume 4, pages 2085-2090.

Mørch and Thomsen, 1994

Mørch, N. J. S. and Thomsen, J. R. (1994).
Statistisk analyse af positron emission tomografier.
Master's thesis, Electronics Institute, Technical University of Denmark, Lyngby, Denmark.
In danish.

Nielsen, 1996

Nielsen, F. Å. (1996).
Visualization and analysis of 3D functional brain images.
Master's thesis, Department of Mathematical Modelling, Technical University of Denmark, Lyngby, Denmark.

Nielsen et al., 1997

Nielsen, F. Å., Hansen, L. K., Toft, P., Goutte, C., Mørch, N. J. S., Svarer, C., Savoy, R., Rosen, B. R., Rostrup, E., and Born, P. (1997).
Comparison of two convolution models for fMRI time series.
In [Friberg et al., 1997], page S473.

Oppenheim and Schafer, 1989

Oppenheim, A. V. and Schafer, R. W. (1989).
Discrete-Time Signal Processing.
Prentice-Hall, Englewood Cliffs, New Jersey.

Ripley, 1996

Ripley, B. D. (1996).
Pattern Recognition and Neural Networks.
Cambridge University Press, Cambridge, United Kingdom.

Sonka et al., 1993

Sonka, M., Hlavac, V., and Boyle, R. (1993).
Image, Processing, Analysis and Machine Vision.
Chapman & Hall Computing Series. Chapman & Hall, London, United Kingdom.

Strother et al., 1996

Strother, S. C., Lange, N., Savoy, R., Anderson, J. R., Sidtis, J. J., Hansen, L. K., Bandettini, P. A., O'Craven, K., Rezza, M., Rosen, B. R., and Rottenberg, D. A. (1996).
Multidimensional state-spaces for fMRI and PET activation studies.
In [Belliveau et al., 1996], page S98.

Strupp, 1996

Strupp, J. P. (1996).
Stimulate: A GUI based fMRI analysis software package.
In [Belliveau et al., 1996], page S607.

Svarer et al., 1993a

Svarer, C., Hansen, L. K., and Larsen, J. (1993a).
On the design and evaluation of tapped-delay lines neural networks.
In Proceedings of the IEEE International Conference on Neural Networks, San Francisco, California, USA, volume 1, pages 46-51.

Svarer et al., 1993b

Svarer, C., Hansen, L. K., Larsen, J., and Rasmussen, C. E. (1993b).
Designer networks for time series processing.
In Kamm, C. et al., editors, Neural Networks for Signal Processing III, pages 78-87, Piscataway, NJ. (Baltimore 1993), IEEE.

Tikhonov, 1963

Tikhonov, A. N. (1963).
Solution of incorrectly formulated problems and the regularization method.
Soviet Math. Dokl., 4:1035-1038.

Tikhonov and Arsenin, 1977

Tikhonov, A. N. and Arsenin, V. Y. (1977).
Solution of Ill-Posed Problems.
Winston, Washington D. C.

Toft et al., 1997

Toft, P., Hansen, L. K., Nielsen, F. Å., Strother, S. C., Lange, N., Mørch, N. J. S., Svarer, C., Paulson, O. B., Savoy, R., Rosen, B. R., Rostrup, E., and Born, P. (1997).
On clustering of fMRI time series.
In [Friberg et al., 1997], page S456.

Van Horn et al., 1996

Van Horn, J. D., Esposito, G., Weinberger, D. R., and Berman, K. F. (1996).
Volume-based multivariate discriminant and canonical correlation analysis of neurophysiological measures of brain function.
In [Belliveau et al., 1996], page S103.

Vinod, 1976

Vinod, H. D. (1976).
Canonical ridge and econometrics of joint production.
Journal of Econometrics, 4:147-166.

Worsley, 1997

Worsley, K. J. (1997).
An overview and some new developments in the statistical analysis of PET and fMRI data.
Human Brain Mapping, 5(4):254-258.

Worsley et al., 1997

Worsley, K. J., Poline, J.-B., Friston, K. J., and Evans, A. C. (1997).
Characterizing the response of PET and fMRI data using multivariate linear models.
NeuroImage, 6(4):305-319.