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Recent
news
02.01.2008
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Predictek awarded Phase II SBIR grant from the National Institute of Mental Health to develop and test optimized neuroimaging analysis pipelines for pharmaceutical evaluation using FDG-PET imaging.
[Learn more]
08.01.2006
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Predictek awarded Phase II SBIR grant from the National Eye
Institute to develop a new device and image analysis software for diagnostic imaging of
the iris.
[Learn more]
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Publications
Our
team has published hundreds of papers in academic peer-reviewed
journals. The following is a list of a few of our publications
in key areas.
-Neuroimaging
/ fMRI
-PET
& SPECT
-Ophthalmic imaging
-Image analysis / machine learning
/ pattern recognition
-X-ray imaging
Neuroimaging
/ fMRI
- Zhang J, Liang L, Anderson JR, Gatewood L, Rottenberg DA, Strother SC. A java-based fMRI processing pipeline evaluation system for assessment of univariate general linear model and multivariate canonical variate analysis-based pipelines. Neuroinformatics (in press).
- Lukic
AS, Wernick MN, Tzikas DG, Chen X, Likas A, Galatanos NP, Yang
Y, Zhao F, Strother SC. (2007): Kernel methods for
analysis of functional neuroimages. IEEE Trans Med Imaging 26(12):1613-1624. [PubMed]
- Zhang J, Liang L, Anderson JR, Gatewood L, Rottenberg DA, Strother SC. Evaluation and Comparison of GLM- and CVA-based fMRI Processing Pipelines with Java-based fMRI Processing Pipeline Evaluation System. Neuroimage (in press).
- Zhang J, Anderson JR, Liang L, Pulapura SK, Gatewood L, Rottenberg DA, Strother SC. Evaluation and Optimization of fMRI Single-Subject Processing Pipelines with NPAIRS and 2nd-level CVA. Magnetic Resonance in Medicine (in press)
- Lukic AS, Wernick MN, Yang Y, Hansen LK, Arfanakis K, Strother SC. Effect
of spatial alignment transformations in PCA and ICA of functional neuroimages.
IEEE Trans Med Imaging 26(8):1058-68, 2007. [PubMed]
- Lukic AS, Wernick M N , Strother SC. (2007) Evaluation
of methods for detection of brain activations from functional
neuroimages,” Artificial Intelligence in Medicine (invited
for special issue) 25: 69-88. [PubMed]
- Kustra R, Strother SC. (2001):
Penalized discriminant analysis of [15O]-water PET brain images
with prediction error selection of smoothness and regularization
hyperparameters. IEEE Trans Med Imaging 20(5):376-87. [PubMed]
- Strother SC, Anderson J, Hansen LK, Kjems U, Kustra R, Sidtis
J, Frutiger S, Muley S, LaConte S, Rottenberg D. (2002): The
quantitative evaluation of functional neuroimaging experiments:
the NPAIRS data analysis framework. Neuroimage 15(4):747-71.
[PubMed]
- Shaw ME, Strother SC, Gavrilescu M, Podzebenko K, Waites A,
Watson J, Anderson J, Jackson G, Egan G. (2003): Evaluating
subject specific preprocessing choices in multisubject fMRI
data sets using data-driven performance metrics. Neuroimage
19(3):988-1001. [PubMed]
- LaConte S, Anderson J, Muley S, Ashe J, Frutiger S, Rehm K,
Hansen LK, Yacoub E, Hu X, Rottenberg D and others. (2003):
The evaluation of preprocessing choices in single-subject BOLD
fMRI using NPAIRS performance metrics. Neuroimage 18(1):10-27.
[PubMed]
- Strother SC, La Conte S, Kai Hansen L, Anderson J, Zhang J,
Pulapura S, Rottenberg D. (2004): Optimizing the fMRI data-processing
pipeline using prediction and reproducibility performance metrics:
I. A preliminary group analysis. Neuroimage 23 Suppl 1:S196-207.
[PubMed]
- Strother SC. (2006): Evaluating fMRI preprocessing pipelines.
IEEE Eng Med Biol Mag 25(2):27-41. [PubMed]
-
[back to top]
PET & SPECT
- Miles N. Wernick and John
N. Aarsvold, eds., Emission Tomography: The Engineering and
Physics of PET and SPECT, San Diego: Academic Press, 2004, pp.
596.
- Kustra R, Strother SC. (2001): Penalized discriminant analysis
of [15O]-water PET brain images with prediction error selection
of smoothness and regularization hyperparameters. IEEE Trans
Med Imaging 20(5):376-87. [PubMed]
- Miles N. Wernick, E. James Infusino, and Milos Milosevic,
“Fast spatio-temporal image reconstruction for dynamic
PET,” IEEE Transactions on Medical Imaging, vol. 18, pp.
185-195, March 1999.
- Chien-Min Kao, Jeffrey T. Yap, Jogeshwar Mukherjee, and Miles
N. Wernick, “Image reconstruction for dynamic PET based
on low-order approximation and restoration of the sinogram,”
IEEE Transactions on Medical Imaging, vol. 16, pp. 738-749,
1997.
- Bing Feng, P. Hendrik Pretorius, Troy Farncombe, Seth. T.
Dahlberg, Manoj V. Narayanan, Anna M. Celler, Jeffrey A. Leppo
and Michael A. King, “Simultaneous assessment of cardiac
perfusion and function using 5-dimensional imaging with Tc-99m
teboroxime,” Journal of Nuclear Cardiology, vol. 13, pp.
354-361, 2006.
[back
to top]
Ophthalmic
imaging
- Elzie C. Chan, Daniel K. Roberts, Donald D. Loconte, and Miles
N. Wernick, “Digital camera system to perform infrared
photography of iris transillumination,” Journal of Glaucoma,
vol. 11, pp. 426-428, 2002.
- Daniel K. Roberts and Miles N. Wernick, “Infrared imaging
technique can help prove the diagnosis of pigment dispersion
syndrome in blacks who do not show iris transillumination defects
via traditional methods,” Journal of Glaucoma, 2007 (in
press).
[back
to top]
Image
analysis / machine learning / pattern recognition
- Ahmad Abu Naser, Nikolas P. Galatsanos, and Miles N. Wernick,
“Methods of detecting objects in photon-limited images,”
Journal of the Optical Society of America A, in press, 2005.
- Liyang Wei, Yongyi Yang, Robert M. Nishikawa, and Miles N.
Wernick, “Relevance vector machine for automatic detection
of clustered microcalcifications,” IEEE Transactions on
Medical Imaging, in press, 2005.
- Issam El-Naqa, Yongyi Yang, and Miles N. Wernick, “A
support vector machine approach for detection of microcalcifications,”
IEEE Transactions on Medical Imaging, vol. 21, no. 12, pp. 1552-1563,
2002.
- Ahmad Abu-Naser, Nikolas P. Galatsanos, Miles N. Wernick,
and Dan Schonfeld, “Object recognition based on impulse
restoration using an expectation-maximization algorithm,”
Journal of the Optical Society of America A, vol. 15, pp. 2327-2340,
1998.
- Miles N. Wernick, “Pattern classification by convex
analysis,” Journal of the Optical Society of America A,
vol. 8, pp. 1874-1880, 1991.
- Miles N. Wernick and G. Michael Morris, “Image classification
at low light levels,” Journal of the Optical Society of
America A, vol. 3, pp. 2179-2187, 1986.
- G. Michael Morris, Miles N. Wernick, and Thomas A. Isberg,
“Image correlation at low light levels,” Optics
Letters, vol. 10, pp. 315-317, 1985.
[back to top]
X-ray imaging
- C. Muehleman, J. Li, M. Wernick, J. Brankov, K. Kuettner,
and Z. Zhong, “Yes, you can see cartilage with X-rays:
Diffraction enhanced X-ray imaging for soft and hard tissues,”
Journal of Musculoskeletal and Neuronal Interactions, vol. 4,
pp. 369-370, 2004.
- Miles N. Wernick, Jovan G. Brankov, and Alejandro Saiz-Herranz,
“Noise analysis and image denoising for DEI,” Proceedings
of SPIE, vol. 5535, pp. 660-667, 2005.
- Miles N. Wernick, J. G. Brankov, D. Chapman, Y. Yang, E. Pisano,
C. Parham, C. Muehleman, Z. Zhong, M. A. Anastasio, “Multiple-image
radiography and computed tomography,” Proceedings of SPIE,
vol. 5535, pp. 369-379, 2005.
- Miles N. Wernick, Oliver Wirjadi, Dean Chapman, Zhong Zhong,
Nikolas P. Galatsanos, Yongyi Yang, Jovan G. Brankov, Oral Oltulu,
Mark A. Anastasio, and Carol Muehleman, "Multiple-image
radiography," Physics in Medicine and Biology, vol. 48,
pp. 3875-3895, 2003.
- Oral Oltulu, Zhong Zhong, Moumen Hasnah, Miles N. Wernick,
and Dean Chapman, “Extraction of extinction, refraction
and absorption properties in diffraction enhanced imaging,”
Journal of Physics D: Applied Physics, vol. 36, pp. 2152-2156,
2003.
[back
to top]
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