Digital Signal Processing Reference
In-Depth Information
[187]S. Ogawa, T. Lee, and B. Barrere. The sensitivity of magnetic resonance
image signals of a rat brain to changes in the cerebral venous blood oxygenation
activation.
Magn. Reson. Med.
, 29(8):205-210, 1993.
[188]S. Ogawa, T. Lee, A. Kay, and D. Tank. Brain magnetic-resonance-imaging
with contrast dependent on blood oxygenation.
Proc. Nat. Acad. Sci. USA
,
87:9868-9872, 1990.
[189]S. Ogawa, D. Tank, R. Menon, and et. al. Intrinsic signal changes
accompanying sensory stimulation: Functional brain mapping with magnetic
resonance imaging.
Proceedings of the National Academy of Sciences
,
89(8):5951-5955, 1992.
[190]A. Oppenheim and R. Schafer.
DigitalSignalProcessing
. Prentice Hall, 1975.
[191]S. Osowski, T. Markiewicz, B. Marianska, and L. Moszczynski. Feature
generation for the cell image recognition of myelogenous leukemia. In
Proc.
EUSICPO 2004
, pages 753-756, 2004.
[192]L. Østergaard, A. Sorensen, K. Kwong, R. Weisskopf, C. Gyldensted, and
B. Rosen. High resolution measurement of cerebral blood flow using intravascular
tracer bolus passages. Part II: Experimental comparison and preliminary results.
Magnetic Resonance in Medicine
, 36(10):726-736, 1996.
[193]N. Pal, J. Bezdek, and E. Tsao. Generalized clsutering networks and
Kohonen's self-organizing scheme.
IEEE Transactions on Neural Networks
,
4(9):549-557, 1993.
[194]S. Pal and S. Mitra.
Neuro-Fuzzy Pattern Recognition
. JWiley, 1999.
[195]A. Papoulis.
Probability, Random Variables, and Stochastic Processes
.
McGraw-Hill, 1986.
[196]J. Parent, T. Yu, R. Leibowitz, D. Geschwind, R. Sloviter, and D. Lowenstein.
Dentate granule cell neurogenesis is increased by seizures and contributes to
aberrant network reorganization in the adult rat hippocampus.
J. Neursci.
,
17:3727-3738, 1997.
[197]J. Park and I. Sandberg. Universal approximation using radial-basis-function
networks.
Neural Computation
, 3(6):247-257, 1991.
[198]K. Pearson. On lines and planes of closest fit to systems of points in space.
Philosophical Magazine
, 6th ser., 2:559-572, 1901.
[199]S. Peltier, T. Polk, and D. Noll. Detecting low-frequency functional
connectivity in fMRI using a self-organizing map (SOM) algorithm.
Human Brain
Mapping
, 20(4):220-226, 2003.
[200]H. Penzkofer.
Entwicklung von Methoden zur magnetresonanztomographischen
Bestimmung der myokardialen und zerebralen Perfusion
. PhD thesis, LMU
Munich, 1998.
[201]N. Petrick, H. Chan, B. Sahiner, M. Helvie, M. Goodsitt, and D. Adler.
Computer-aided breast mass detection: False positive reducing using breast tissue
composition.
Excerpta Medica
, 1119(6):373-378, 1996.
[202]D.-T. Pham. Joint approximate diagonalization of positive definite matrices.
SIAM Journal on Matrix Anal. and Appl.
, 22(4):1136-1152, 2001.
[203]D.-T. Pham and J.-F. Cardoso. Blind separation of instantaneous mixtures of
nonstationary sources.
IEEE Transactions on Signal Processing
, 49(9):1837-1848,
2001.
[204]C. Piccoli. Contrast-enhanced breast MRI: Factors affecting sensitivity and
specificity.
European Radiology
, 7(2):281-288, 1997.
[205]E. Pietka, A. Gertych, and K. Witko. Informatics infrastructure of CAD
system.
Computerized Medical Imaging and Graphics
, 29:157-169, 10 2005.
Search WWH ::
Custom Search