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Publications

Our team has published hundreds of papers in academic peer-reviewed journals. The following is a sampling of our publications in key areas.

Neuroimaging / fMRI

  • Yourganov G, Chen X, Lukic A, Grady C, Small S, Wernick M, Strother SC. Dimensionality Estimation for Optimal Detection of Functional Networks in BOLD fMRI Data. Neuroimage (in press). [PubMed]
  • Strother SC, Oder A, Spring R, Grady C. The NPAIRS Computational Statistics Framework for Data Analysis in Neuroimaging. Proc. 19th Int. Conf. on Computational Statistics: Refereed Keynote, Invited and Contributed Papers, Lechevallier, Yves; Saporta, Gilbert (Eds.), pp. 111-120, Physica-Verlag, Berlin, 2010
  • Schmah T, Yourganov G, Zemel RS, Hinton GE, Small SL, Strother SC. Comparing classification methods for longitudinal fMRI studies. Neural Computation, 22, 2729-2762 2010. [PubMed]
  • Spreng RN, Rosen, HJ, Strother SC, Chow TW, Diehl-Schmid J, Freedman M, Graff-Radford NR, Hodges JR, Lipton AM, Mendez MF, Morelli SA, Black SE, Miller BL, Levine B. Occupation attributes relate to location of atrophy in frontotemporal lobar degeneration. Neuropsychologia 48, 3634-3641 2010. [PubMed]
  • Wernick MN, Yang Y, Brankov JG, Yourganov G, Strother SC. Machine Learning In Medical Imaging. Invited Review Paper: IEEE Sig Proc Mag 27:25-38, 2010. [IEEE Xplore]
  • Sidtis JJ, Strother SC, Groshong A, Rottenberg DA, Gomez C. Longitudinal cerebral blood flow changes during syllable repetition in hereditary ataxia. Brain Lang 114, 43-51 2010. [PubMed]
  • Carter CS, Heckers S, Nichols T, Pine DS, Strother SC. Optimizing the Design and Analysis of Clinical fMRI Research Studies. Biol Psychiatry 64(10):842-9, 2008. [PubMed]
  • Schmah T, Hinton G, Zemel RS, Small SL, Strother SC. Generative versus discriminative training of RBMs for classification of fMRI images. Proc. Neural Information Processing Systems, 1409-1416, 2008
  • 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]
  • 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 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]
  • Strother SC. (2006): Evaluating fMRI preprocessing pipelines. IEEE Eng Med Biol Mag 25(2):27-41. [PubMed]
  • LaConte S, Strother SC, Cherkassky V, Anderson J, Hu X. Support Vector Machines for Temporal Classification of fMRI Data. Neuroimage, 26:317-329, 2005. [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]
  • 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, Anderson J, Hansen LK, Kjems U, Kustra R, Siditis J, Frutiger S, Muley S, LaConte S, Rottenberg D. The quantitative evaluation of functional neuroimaging experiments: The NPAIRS data analysis framework. Neuroimage 15:747-771, 2002. [PubMed]
  • Kjems U, Hansen LK, Strother SC. Generalizable singular value decomposition for ill-posed datasets. In: TK Leen, TG Dietterich, V Tresp, Eds: Advances in Neural Information Processing Systems, Vol. 13, MIT Press, 549-555, 2001
  • 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]
  • Liow JS, Rehm K, Strother SC, Anderson JR, Morch N, Hansen LK, Schaper KA, Rottenberg DA. Voxel based covariance analysis for optimal discrimination of groups of FDG PET scans between normal and HIV-1 seropositive subjects. J Nucl Med, 41:612-621, 2000.
  • Rottenberg DA, Sidtis JJ, Strother SC, Schaper KA, Anderson JR, Nelson MJ, Price RW. Abnormal cerebral glucose metabolism in HIV-1 seropositives with and without dementia. J Nuc Med, 37:1133-1141, 1996. [PubMed]
  • Moeller JR, Strother SC. A regional covariance approach to the analysis of functional patterns in positron emission tomographic data. J Cereb Blood Flow Metab. 11:A121-A135, 1991.

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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.
  • Xiaofeng Niu, Yongyi Yang, Michael A. King, and Miles N. Wernick, “Detectability of perfusion defect in five-dimensional gated-dynamic cardiac SPECT images,” Medical Physics, vol. 37, pp. 5102-5112, 2010.
  • Xiaofeng Niu, Mingwu Jin, Yongyi Yang, Michael A. King, and Miles N. Wernick, “Regularized fully 5D reconstruction of cardiac gated dynamic SPECT images,” IEEE Transactions on Nuclear Science, vol. 57, no. 3, pp. 1085-1095, 2010.
  • Mingwu Jin, Yongyi Yang, Xiaofeng Niu, Thibault Marin, Jovan G. Brankov, Bing Feng, P. Hendrik Pretorius, Michael A. King, and Miles Wernick, “Quantitative evaluation study of four-dimensional gated cardiac
SPECT reconstruction,” Physics in Medicine and Biology, vol. 54, pp. 5643-5659, 2009.
  • 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.

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Ophthalmic imaging

  • Daniel K. Roberts, Ana S. Lukic, Yongyi Yang, Jacob T. Wilensky, and Miles N. Wernick, “Multispectral diagnostic imaging of the iris,” 2010,  Journal of Glaucoma, in press.
  • Daniel K. Roberts, Ana Lukic, Yongyi Yang, Sayoko E. Moroi, Jacob T. Wilensky, and Miles N. Wernick, “Novel observations and potential applications using digital infrared iris imaging,” Ophthalmic Surgery, Lasers, and Imaging, vol. 40, pp. 207-216, 2009.
  • 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, vol. 16, pp. 440-447, 2007.
  • 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.

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Image analysis, Machine learning, and Computer-aided diagnosis

  • Miles N. Wernick, Yongyi Yang, Jovan G. Brankov, Grigori Yourganov, and Stephen C. Strother, “Machine learning in medical imaging,” IEEE Signal Processing Magazine, vol. 27, no. 4, pp. 25-38, 2010.
  • Yusuf Artan, Masoom A. Haider, Deanna L. Langer, Andrew J. Evans, Yongyi Yang, Miles N. Wernick, and Imam Samil Yetik, “Prostate cancer localization with multispectral MRI using cost-sensitive support vector machines and conditional random fields,” IEEE Transactions on Image Processing, vol. 19, no. 9, pp. 2444-2455, 2010.
  • Sedat Ozer, Deanna L. Langer, Xin Liu, Masoom A. Haider, Theodorus H. van der Kwast, Andrew J. Evans, Yongyi Yang, Miles N. Wernick, and Imam S. Yetik, “Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI,” Medical Physics, vol. 27, no. 4, pp. 1873-1872, 2010.
  • Liyang Wei, Yongyi Yang, Miles N. Wernick, and Robert M. Nishikawa, “Learning of perceptual similarity from expert readers for mammogram retrieval,” IEEE Journal of Selected Topics in Signal Processing, vol. 1, pp. 53-61, 2009.
  • Jovan G. Brankov, Yongyi Yang, Liyang Wei, Issam El-Naqa, and Miles N. Wernick, “Learning a nonlinear channelized observer for image quality assessment,” IEEE Transactions on Medical Imaging, vol. 28, pp. 991-999, 2009.
  • Xin Liu, Imam Samil Yetik, Deanna L. Langer, Masoom A. Haider, Yongyi Yang and Miles N. Wernick, “Prostate cancer segmentation with simultaneous estimation of Markov random field parameters and classes,” IEEE Transactions on Medical Imaging, vol. 28, pp. 906-915, 2009.
  • 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.
  • Jovan G. Brankov, Nikolas P. Galatsanos, Yongyi Yang, and Miles N. Wernick, “Segmentation of dynamic PET or fMRI images based on a similarity metric,” IEEE Transactions on Nuclear Science, vol. 50, pp. 1410-1414, 2003.
  • 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.
  • hmad 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.

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X-ray imaging

  • Cheng-Ying Chou, Mark A. Anastasio, Jovan G. Brankov, Miles N. Wernick, Eric M. Brey, Dean M. Connor, Jr., and Zhong Zhong, “An extended diffraction-enhanced imaging method for implementing multiple-image radiography,” Physics in Medicine and Biology, vol. 52, pp. 1923-1945, 2007.
  • Carol Muehleman, Jun Li, Zhong Zhong, Jovan G. Brankov, and Miles N. Wernick, “Multiple-image radiography for soft tissue of the foot and ankle,” Journal of Anatomy, vol. 208, pp.115-124, 2006.
  • Gocha Khelashvili, Jovan G. Brankov, Dean Chapman, Mark A. Anastasio, Yongyi Yang, Zhong Zhong, and Miles N. Wernick, “A physical model of multiple image radiography,” Physics in Medicine and Biology, vol. 51, pp. 221-236, 2006. [Recognized by IOP Select]
  • Jovan G. Brankov, Miles N. Wernick, Yongyi Yang, Jun Li, Carol Muehleman, Zhong Zhong, and Mark A. Anastasio, “A computed tomography implementation of multiple-image radiography” Medical Physics, vol. 33, pp. 278-289, 2006.
  • Miles N. Wernick, Yongyi Yang, Indrasis Mondal, Dean Chapman, Christopher Parham, and Zhong Zhong, “Computation of mass density images from refraction-gradient images,” Physics in Medicine and Biology, vol. 51, pp. 1769-1778, 2006. [Recognized by IOP Select]
  • 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.

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