LaISR Publications

Journal publications

Publications in Really Good Conferences

Theses

Journal Publications

Multiscale Modeling and Inversion

  1. Baussard, Alexandre, Miller, Eric L., and Lesselier, Dominique, “Adaptive Multiscale Reconstruction of Buried Targets,” Inverse Problems: SPECIAL ISSUE: Electromagnetic characterization of buried obstacles. Vol. 20, No. 6, December 2004, S1-S15. © 2004 IOP. doi:10.1088/0266-5611/20/6/S01
  2. Baussard, Alexandre, Miller, Eric L., and Prémel, Denis, “Adaptive B-spline scheme for solving an inverse scattering problem,” Inverse Problems , Vol. 20, No. 2, April 2004, pp. 347-365. © 2004 IOP.  doi:10.1088/0266-5611/20/2/003
  3. Eric L. Miller, Ibrahim Yavuv, Lena Nicolaides, and Andreas Mandelis, "An adaptive, multiscale inverse scattering approach to photothermal depth profilometry," Circuits, Systems, and Signal Processing,  Vol. 19, No. 4, July 2000, pp. 339-363.  The original publication is available at www.springerlink.com doi:10.1007/BF01200892
  4. Belge, M., Kilmer, M. and Miller, Eric L.,  "Wavelet Domain Image Restoration with Adaptive Edge-Preserving Regularization," IEEE Trans. on Image Processing, Vol. 9, No. 4, April 2000, pp. 598-608. © 2000 IEEE
  5. Dufour, Roger and Miller, Eric L, "Statistical Signal Restoration with Wavelet Domain Prior Models," Signal Processing, Vol. 78, 1999, pp. 289-307. doi:10.1016/S0165-1684(99)00069-9
  6. Miller, Eric L., "Efficient Computational Methods for Wavelet Domain Signal Restoration Problems," IEEE Trans. on Signal Processing, Vol. 47, No. 4, April 1999, pp. 1184-1188. © 1999 IEEE. doi:10.1109/78.752622
  7. Miller, Eric L., "Statistically Based Methods for Anomaly Characterization in Images from Observations of Scattered Radiation," IEEE Trans. on Image Processing, Vol. 8, No. 1, January 1999, pp. 92-101.© 1999 IEEE doi:10.1109/83.736694
  8. Miller, Eric L., Nicolaides, Lena, and Mandelis, Andreas, "Nonlinear inverse scattering methods for thermal wave slice tomography: A wavelet domain approach," Journal of the Optical Society of America (A), Vol 15, No. 6, June 1998, pp. 1545-1556. © 1998 OSA. doi:10.1364/JOSAA.15.001545
  9. Miller, Eric L. and Willsky, Alan S., "Multiscale, Statistical Anomaly Detection Analysis and Algorithms for Linearized Inverse Scattering Problems,'' Multidimensional Systems and Signal Processing , vol 8, pp. 151-184. The original publication is available at www.springerlink.com doi:10.1023/A:1008277108555
  10. Miller, Eric L. and Willsky, Alan S., "Wavelet-based methods for the nonlinear inverse scattering problem using the Extended Born Approximation,'' Radio Science, vol. 31 no. 1 pp. 51-67.  © 1996 AGU To view the published open abstract click here.
  11. Miller, Eric L. and Willsky, Alan S., "A Multiscale, Statistically-Based Inversion Scheme for the Linearized, Inverse Scattering Problem,'' IEEE Trans. on Geoscience and Remote Sensing, Vol. 34, No. 2, 1996, pp 346-357.  © 1996 IEEE, doi:10.1109/36.485112
  12. Miller, Eric L. and Willsky, Alan S., A Multiscale Approach to Sensor Fusion and the Solution of Linear Inverse Problems,'' Applied and Computational Harmonic Analysis , vol. 2, No. 2, April 1995, pp. 127-147. doi:10.1006/acha.1995.1009

Geometric/Shape-Based Modeling and Inversion

  1. R. Firoozabadi and E. L. Miller, “A Shape-Based Inversion Algorithm Applied to Microwave Imaging of Breast Tumors,” IEEE Trans. On Antennas and Propagation, to appear.
  2. A. Aghasi, M. E. Kilmer and E. L. Miller, “Parametric Level Set Methods for Inverse Problems,” SIAM Journal on Imaging Sciences, Vol. 4, pp. 618-650, 2011, © 2011 SIAM, doi:10.1137/100800208
  3. Ulker Karbeyaz, Basak, Miller, Eric L., Cleveland, Robin O., “Shape-based ultrasound tomography using a Born model with application to high intensity focused ultrasound therapy,” Journal of the Acoustical Society of America, vol. 123,  no. 5., pp 2944-2956, 2008.  © 2008 ASA. This article appeared in JASA and may be found at http://dx.doi.org/10.1121/1.2897045
  4. Boverman, Gregory, Fang, Quinauin,  Miller, Eric L., Brooks, Dana H., Moore, Richard H., Kopans, Daniel B. and Boas, David A., “Estimation and Statistical Bounds for Three-Dimensional Polar Shapes in Diffuse Optical Tomography,” IEEE Transactions on Medical Imaging, vol 27, no. 6, pp. 752-765, June 2008. © 2008 IEEE. 10.1109/TMI.2007.911492 
  5. Miled, M. K. Ben Hadj and Miller, Eric L., “A projection-based level-set approach to enhance conductivity anomaly reconstruction in electrical resistance tomography,” Inverse Problems, Vol. 23, pp. 2375-2400. © 2004 IOP.  doi:10.1088/0266-5611/23/6/007
  6. Firoozabadi, R., Miller, E. L., Rappaport C. M., and, Morgenthaler, A. W., “Subsurface Sensing of Buried Objects under a Randomly Rough Surface Using Scattered Electromagnetic Field Data,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 1, Jan. 2007, pp. 104-117. © 2007 IEEE. doi:10.1109/TGRS.2006.883462
  7. El-Shenawee, Magda and Miller, Eric L., “Spherical Harmonics Wideband Polarimetric Algorithm for Shape and Location Reconstruction of Three-Dimensional Malignant Breast Cancer Tumor,” IEEE Transactions on Medical Imaging, Vol. 25, No. 10, October 2006, pp. 1258-1271. © 2006 IEEE. doi:10.1109/TMI.2006.881377
  8. Kilmer, Misha, Miller Eric L., Barbaro, Alethea, Boas David A., “3D Shape-Based Imaging for Diffuse Optical Tomography,” Applied Optics Special Issue on Topics in Biomedical Optics, Vol. 42, No. 16, June 1, 2003, pp. 3129-3144.  © 2003 OSA. doi:10.1364/AO.42.003129
  9. Boverman, Gregory, Miled, Mohamed Khames, Miller, Eric L., “Recent Work in Shape-Based Methods for Diffusive Inverse Problems,” Review of Scientific Instruments, Vol. 74, No. 4, April 2003, pp. 2580-2582.
  10. Dufour, Roger, Miller, Eric L., Galatsanos, Nikolas, “Template Matching Based Object Recognition with Unknown Geometric Parameters”, IEEE Trans. Image Processing, Vol. 11, No. 12, December 2002, pp. 1385-1396.  © 2002 IEEE doi:10.1109/TIP.2002.806245
  11. Kilmer, Misha E., Miller, Eric L., Boas, David, Brooks, Dana, "A Shape-Based Reconstruction Technique for DPDW Data,"  Optics Express focus issue on Diffuse Optical Tomography, Vol. 7, No. 13, December 18, 2000, pp. 481-491. © 2000 OSA. Online abstract available here.
  12. Dorn, Oliver, Miller, Eric L. and Rappaport, Carey M, "A shape reconstruction method for electromagnetic tomography using adjoint fields and level sets,"  Inverse Problems, Vol. 16, No. 5, October 2000, pp. 1119-1156. © 2000 IOP. doi:10.1088/0266-5611/16/5/303
  13. Miller, Eric L., Kilmer, Misha, and Rappaport, Carey, "A New Shape-Based Method for Object Localization and Characterization from Scattered Field Data," IEEE Trans. Geoscience and Remote Sensing, Vol. 38, No. 4, July 2000, pp. 1682-1696. © 2000 IEEE.  doi:10.1109/36.851967

Physical Modeling and Computational Methods

  1. H. E. Guven, E. L. Miller, and R. O. Cleveland, Fast computation of the acoustic field for ultrasound elements, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol. 56, no. 9, pp. 1903-1912, 2009. © 2009 IEEE. 10.1109/TUFFC.2009.1266 
  2. Ulker Karbeyaz, Basak, Miller, Eric L., Cleveland, Robin O., “Semi-analytical computation of the acoustic field of a segment of a cylindrically concave transducer in lossless and attenuating media  ,” Journal of the Acoustical Society of America, Vol. 21, No. 2, 2007, pp. 1226—1237. © 2007 ASA. This article appeared in JASA and may be found at doi:10.1121/1.2409489 .
  3. Szabo, Thomas L., Karbeyaz, Basak Ulker, Cleveland, Robin O., and Miller, Eric L. "Determining the pulse-echo electromechanical characteristic of a transducer using flat-plates and point targets," The Journal of the Acoustical Society of America, Vol. 116, No 1, pp. 90-96. © 2004 ASA. This article appeared in JASA and may be found at doi:10.1121/1.1756893.
  4. Kilmer, Misha, Miller, Eric L., and Rappaport, Carey, "QMR-Based Projection Techniques for the Solution of Non-Hermitian Systems with Multiple Right Hand Sides," SIAM Journal on Scientific and Statistical Computing, Vol. 23 No. 3, 2001, pp. 761-780. © 2001 SIAM.  doi:10.1137/S1064827599355542
  5. Rappaport, Carey M., Kilmer, Misha and Miller, Eric L. "Accuracy Considerations in Using the PML ABC with FDFD Helmholtz Equation Computation", International Journal of Numerical Modeling, Vol. 13, 2000, pp. 471-482. © 2000 Wiley.  doi:10.1002/1099-1204(200009/10)13:5<471::AID-JNM378>3.0.CO;2-A
  6. Marengo, Edwin A., Rappaport, Carey M., Miller, Eric L., "Optimum PML ABC Conductivity Profile in FDFD."  IEEE Trans. on Magnetics, Vol. 35, No. 3 May 1999, pp. 1506-1509. © 1999 IEEE doi:10.1109/20.767253
  7. Sahin, Adnan, and Miller, Eric L., "Recursive T-Matrix Methods for Scattering From Multiple Dielectric and Metallic Objects," IEEE Trans, Antennas and Propagation, Vol. 46, No. 5, May 1998, pp. 672-678. © 1998 IEEE.  doi:10.1109/8.668910
  8. Sahin, A and Miller, Eric L., "Recursive T-Matrix Algorithm for Multiple Metallic Cylinders," Microwave and Optical Technology Letters, Vol. 15, No. 6, August, 1997, pp. 360-363. © 1997 Wiley.doi:10.1002/(SICI)1098-2760(19970820)15:6<360::AID-MOP7>3.0.CO;2-C

General Physics-Based Processing and Inverse Problems

  1. A. Aghasi and E. L. Miller,Sensitivity Calculations for the Poisson’s Equation via the Adjoint Field Method, IEEE Geoscience and Remote Sensing Letters, to appear.
  2. F. Larusson, S. Fantini, and E. L. Miller,Hyperspectral image reconstruction for diffuse optical tomography, Biomed. Opt. Express, Vol. 2, 2011, pp. 946-965. © 2011 OSA.
  3. Q. Fang, J. Selb, S. A. Carp, G. Boverman, E. L. Miller, D. H. Brooks, R. H. Moore, D. B. Kopans, and D. A. Boas,  Combined Optical and X-ray Tomosynthesis Breast Imaging, Radiology, vol. 258, no. 1, January 2011, pp. 89-97.
  4. D. Hyde, E. Miller, D. Brooks, and V. Ntziachristos, Data Specific Spatially Varying Regularization for Multi-Modal Fluorescence Molecular Tomography, IEEE Transactions on Medical Imaging, vol. 29, no. 2, pp. 365-374, Feb. 2010.  © 2010 IEEE http://dx.doi.org/10.1109/TMI.2009.2031112
  5. D. Hyde, R. Schultz, D. Brooks, E. Miller and V. Ntiziachristos, Performance dependence of hybrid X-ray CT - FMT on the optical forward problem, Journal of the Optical Society of America – A, vol. 26, no. 4, pp 919-923, 2009. © 2009 OSA, http://dx.doi.org/10.1364/JOSAA.26.000919
  6. D. Hyde, R. De Kleine, S. MacLaurin, E. L. Miller, D. Brooks, T. Krucker, and V. Ntzaichristos, Hybrid FMT-CT imaging of amyloid-beta plaques in a murine Alzheimer's disease model , NeuroImage, vol. 44, no. 4, pp.1304-1311, Feb. 15, 2009.  http://dx.doi.org/10.1016/j.neuroimage.2008.10.038
  7. Q. Fang, S. A. Carp, J. Selb, G. Boverman, Q. Zhang, D. B. Kopans, R. H. Moore, E. L. Miller, D. H. Brooks, and D. A. Boas, “Combined optical imaging and mammography of the healthy breast: optical contrast derived from breast structure and compression,” IEEE Transactions on Medical Imaging, vol. 28, no. 1, pp. 30-42, January 2009.  © 2009 IEEE http://dx.doi.org/10.1109/TMI.2008.925082
  8. Aliamiri, Alireza, Stalnaker, Jack, and Miller, Eric L., “Statistical Classification Of Buried Unexploded Ordnance Using Non-Parametric Prior Models,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 9, September 2007, pp. 2794-2806. © 1998 IEEE.   doi:10.1109/TGRS.2007.900681 
  9. Hyde, Damon, Miller Eric L., Brooks, Dana H., and Ntziachristos, Vasilis, “A Statistical Approach to Inverting the Born Ratio,” IEEE Transactions on Medical Imaging, Vol. 27, No. 7, July 2007, pp. 893-905. © 2007 IEEE.  doi:10.1109/TMI.2007.895467
  10. Hyde, Damon, Kilmer, Misha E., Brooks, Dana H., and Miller, Eric L., “Analysis And Exploitation Of Matrix Structure Arising In Linearized Optical Tomographic Imaging,” SIAM Journal on Matrix Analysis and Applications, Vol. 29, No. 4,  2007, 1065-1083. © 2007 SIAM.  doi:10.1137/060657285
  11. Boverman, Gregory, Fang, Qianqian, Carp, Stefan A., Miller, Eric L., Brooks, Dana H., Selb, Juliette, Moore, Richard H, Kopans, Daniel B., and Boas David A., “Spatio-Temporal Imaging of the Hemoglobin in the Compressed Breast With Diffuse Optical Tomography,” Physics in Medicine and Biology, Vol. 52, 2007, pp. 3619-3641. © 2007 IOP.  doi:10.1088/0031-9155/52/12/018
  12. Tarokh, A. B. and Miller, Eric L., “Subsurface Sensing Under Sensor Positional Uncertainty,” IEEE Transactions on Geoscience and Remote Sensing, Vol.45, No. 3, March 2007, pp. 675-688. © 2007 IEEE.  doi:10.1109/TGRS.2006.888851
  13. Boverman, Gregory, Miller, Eric L., Li, Ang, Zhang, Quan, Chaves, Tina, Brooks, Dana H., Boas, David A., “Quantitative Spectroscopic Diffuse Optical Tomography of the Breast Guided by Imperfect A Priori Structural Information,” Physics in Medicine and Biology, Vol. 50, No. 17, 3941-3956, 2005. © 2005 IOP.  doi:10.1088/0031-9155/50/17/002
  14. Li A, Boverman G, Zhang Y, Brooks D, Miller EL, Kilmer ME, Zhang Q, Hillman EMC and Boas DA., “Optimal linear inverse solution with multiple priors in diffuse optical tomography,” Applied Optics 44(10): 1948-1956. 2005."© 2005 OSA.  doi:10.1364/AO.44.001948
  15. El Shenawee, Magda and Miller, Eric L., “Multiple-Incidence and Multi-Frequency for Profile Reconstruction of Random Rough Surfaces Using the 3-D Electromagnetic Fast Multipole Model,” IEEE Trans. Geoscience and Remote Sensing, Vol. 42, No. 11, November 2004, pp. 2499-2510.  © 2004 IEEE. doi:10.1109/TGRS.2004.834762 
  16. Li, Ang, Zhang, Q., Culver, J. P., Miller, E. L., and Boas, D.A., “Reconstructing Chromophore Concentration Images Directly by Continuous-Wave Diffuse Optical Tomography,” Optics Letters, Vol. 29, No. 3, pp. 256-258. © 2003 OSA. doi:10.1364/OL.29.000256
  17. Li, Ang, Miller, Eric L., Kilmer, Misha E., Brukilacchio1, Thomas J., Chaves, Tina, Stott, Jonathan, Zhang, Quan, Wu, Tao, Chorlton, MaryAnn, Moore, Richard H., Kopans, Daiel B., and Boas, David A. “Tomographic Optical Breast Imaging Guided by 3-D Mammography,” Applied Optics, Vol. 42, No. 25, Sept 1, 2003, pp.5181-5191.  © 2003 OSA. doi:10.1364/AO.42.005181
  18. Miller, Eric L., Cheney, Margaret, Kilmer Misha K., Boverman, Gregory, Li, Ang, Boas, David, “Feature-Enhancing Methods for Limited View Tomographic Imaging Problems,” Subsurface Sensing Technologies and Applications, Vol. 4, No. 4, October 2003, pp. 327-353.   The original publication is available at www.springerlink.com doi:10.1023/A:1026304732232
  19. Xu, Xiaoyin, Miller Eric L., and Rappaport, Carey M., “Minimum entropy regularization in frequency-wavenumber migration to localize subsurface objects,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No. 8, August 2003, pp. 1804-1812.  © 2003 IEEE doi:10.1109/TGRS.2003.813497 
  20. Belge, Murat, Kilmer Misha, Miller, Eric L., “Efficient Determination of Multiple Regularization Parameters in a Generalized L-Curve Framework,” Inverse Problems, Vol. 18, August 2002, pp. 1161-1183. © 2002 IOP. doi:10.1088/0266-5611/18/4/314
  21. Boas, D.A., Brooks, D.H., Miller, E.L., DiMarzio, C.A., Kilmer, M., Gaudette, R.J., Quan, Zhang, “Imaging the body with diffuse optical tomography,” IEEE Signal Processing Magazine, Vol. 18, No. 6, November 2001, pp. 57—75. © 2001 IEEE. doi:10.1109/79.962278
  22. El-Shenawee, M., Rappaport, C., Miller, E., Silevitch, M., "3-D Subsurface Analysis of Electromagnetic Scattering from Penetrable/PEC Objects Buried under Rough Surfaces: Use of the Steepest Decent Fast Multilevel Multipole (SDFMM) Technique," IEEE Transactions on Geoscience and Remote Sensing, special issue on subsurface sensing, Vol. 39, No. 6, June 2001, pp. 1174-1182. © 2001 IEEE. doi:10.1109/36.927436
  23. Miller, Eric L., "Introduction to Optics Express focus issue on Diffuse Optical Tomography," Optics Express special issue on Diffuse Optical Tomography (DOT) and related inverse problems, Vol. 7, No. 13, December 18, 2000, p. 461. © 2000 OSA
  24. Richard J. Gaudette, Dana H. Brooks, Charles A. DiMarzio, Misha E. Kilmer, Eric L. Miller, Tom Gaudette, David A. Boas, "A comparison study of linear reconstruction techniques for diffuse optical tomographic imaging of absorption coefficient," Phys. Med. Bio., Vol. 45, No. 4, April 2000, pp. 1051-1070. © 2000 IOP. doi:10.1088/0031-9155/45/4/318
  25. Belge, Murat and Miller, Eric L., "A Sliding Window RLS-like Adaptive Filtering Algorithm for Filtering a-stable Noise," IEEE Signal Processing Letters, Vol. 7, No. 4, April 2000, pp. 86-89. © 2000 IEEE doi:10.1109/97.833005

Medical Image Analysis

  1. A. Lauric, E. L. Miller, M. I. Bahargoglu , and A. M. Malek, Rupture Status Discrimination in Intracranial Aneurysms using the Centroid-Radii Model, IEEE Trans. On Biomedical Engineering,  to appear.
  2. A Lauric, E. L. Miller, M. I. Bahargoglu, and A. M. Malek, 3D Shape Analysis of Intracranial Aneurysms Using the Writhe Number as a Discriminant for Rupture, Annals of Biomedical Engineering, The original publication is available at www.springerlink.com DOI: 10.1007/s10439-010-0241-x.
  3. J. Cheng, X. Zhou, E. L. Miller, V. A. Alvarez, B. L. Sabatini, S. T. C. Wong, Oriented Markov Random Field Based Dendritic Spine Segmentation for Fluorescence Microscopy Images, Neuroinformatics,Vol. 8, No. 3, pp. 157-170, 2010.  The original publication is available at www.springerlink.com doi: 10.1007/s12021-010-9073-y
  4. A. Lauric, E. L. Miller, S. Friskin, and A. M. Malek, Automated Detection of Intracranial Aneurysms Based on Parent Vessel 3D Analysis, Medical Image Analysis, vol. 14. no. 2, pp. 149-159, April 2010.  http://dx.doi.org/10.1016/j.media.2009.10.005
  5. C. Bayan, J. Levitt, E. Miller, D. Kaplan, and I. Georgakoudi, Fully-automated, quantitative, non-invasive assessment of collagen fiber content and organization in thick specimens, Journal of Applied Physics, Vol. 105, 2009. © 2009 AIP http://dx.doi.org/10.1063/1.3116626
  6. Srinivasan, Ranga, Zhou, Xiaobo Zhou, Miller Eric L.,, Lu, Ju, Litchman, Jeff, Wong, Stephen TC, “Automated Axon Tracking of 3D Confocal Laser Scanning Microscopy Images Using Guided Probabilistic Region Merging,” Neuroinformatics, Vol. 5, No. 3, September 2007, pp. 189-203.  The original publication is available at www.springerlink.com doi:10.1007/s12021-007-0013-4
  7. Cheng, Jie, Zhou, Xiaobo, Miller, Eric, Witt, Rochelle M., Zhu, Jinmin, Sabatini, Bernardo L., and Wong, Steven T. C., “A Novel Computational Approach for Automatic Dendrite Spines Detection in Two-Photon Laser Scan Microscopy,” Journal of Neuroscience Methods, Vol. 165, 2007, pp. 122-134. doi:10.1016/j.jneumeth.2007.05.020

General Image and Signal Processing

  1. R. Mittelman and E. L. Miller, Robust Estimation of a Random Parameter in a Gaussian Linear Model with Joint Eigenvalue and Elementwise Covariance Uncertainties, IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1001-1011, March 2010. © 2010 IEEE  http://dx.doi.org/10.1109/TSP.2009.2036063
  2. A. Aghasi, H. Amindavar, E. L. Miller, and J. R. Mohassel, Flat-Top Footprint Pattern Synthesis Through the Design of Arbitrary Planar-Shaped Apertures, IEEE Transactions on Antennas and Propagation, to appear.
  3. R. Mittelman, and E. L. Miller, “Nonlinear filtering using a new proposal distribution and the improved fast gauss transform with tighter performance bounds,” IEEE Transactions on Signal Processing, vol. 56, no. 12, pp. 5746-5757, December 2008. © 2008 IEEE http://dx.doi.org/10.1109/TSP.2008.2005095
  4. Jagannathan, A., and Miller, Eric L., “3D Surface Mesh Segmentation Using A Curvedness-Based Region Growing Approach”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 12, December, 2007, pp. 2195-2204. © 2007 IEEE. doi:10.1109/TPAMI.2007.112
  5. Coric, Srdjan, Leeser, Miriam, Miller, Eric, and Trepanier, Marc, “Parallel-Beam Backprojection: an FPGA Implementation Optimized for Medical Imaging,” The Journal of VLSI Signal Processing-Systems for Signal, Image, and Video Technology, Volume 39, Number 3 (2005).  The original publication is available at www.springerlink.com doi:10.1007/s11265-005-4846-5
  6. Tarokh, A. B., Miller, E. L. , Won, I. J. and Huang, H., “Statistical classification of buried objects from spatially sampled time or frequency domain electromagnetic induction data,” Radio Science, Vol 39, Np. 4, July/August, 2004, p RS4S05-1-RS4S05-11.   © 2004 AGU. To view the published open abstract go to doi:10.1029/2003RS002951
  7. Xu, Xiaoyin, Miller, Eric L., Chen Dongbin, and Sarhadi, Mansoor, “Adaptive Two-pass Median Filter to Remove Impulse Noise in Highly Corrupted Images,” IEEE Transactions on Image Processing, Vol. 13, No. 2, February, 2004, p 238-247. © 2004 IEEE. doi:10.1109/TIP.2004.823827
  8. Hoge, W. Scott, Miller, Eric L., Lev-Ari, Hanoch, Brooks, Dana H., and Panych, Lawrence P., “A Doubly Adaptive Approach to Dynamic MRI Sequence Estimation,” IEEE Trans. on Image Processing, Vol. 11, No. 10, October 2002, pp. 1168 - 1178 © 2002 IEEE doi:10.1109/TIP.2002.804272
  9. Xu, Xiaoyin, Miller, Eric L., Rappaport, Carey, and Sower, Gary, “Statistical Method to Detect Subsurface Objects Using Array Ground Penetrating Radar Data,” IEEE Trans. Geoscience and Remote Sensing, Vol. 40, No. 4, April 2002 pp. 963 -976. © 2002 IEEE. doi:10.1109/TGRS.2002.1006391
  10. Hoge, Wm. Scott, Miller, Eric L., Lev-Ari, Hanoch, Brooks, Dana H., Karl, W. Clem, Panych, Lawrence, "An Efficient Region of Interest Acquisition Method for Dynamic Magnetic Resonance Imaging," IEEE Trans. on Image Processing, Vol. 10, No. 7, July 2001, pp.1118-1128. © 2001 IEEE doi:10.1109/83.931105
  11. Sahin, Adnan and Miller, Eric L., "Model-Based Multiple Object Detection Using High-Resolution Near Field Array Processing,"  IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, No. 1, Jan. 2001, pp. 136-141. © 2001 IEEE. doi:10.1109/36.898675
  12. Sahin, Adnan and Miller, Eric L., "Electromagnetic Scattering-Based Array Processing Methods for Near-Field Object Characterization,"  Journal of Electromagnetic Waves and Applications, Vol. 13, 1999, pp. 1209-1236. 

Highly Referred Conference Publications

  1. A. Vazquez-Reina, M. Gelbart, D. Huang, J. Lichtman, E. Miller, and H. Pfister, Segmentation Fusion for Connectomics, International Conference on Computer Vision, 2011, Barcelona Spain, Poster Presentation.
  2. A. Vázquez-Reina, S. Avidan, H. Pfister, and E. Miller, Multiple Hypothesis Video Segmentation from Superpixel Flows, European Conference on Computer Vision, 2010, Crete, Greece. Oral presentation. Acceptance rate = 3.3% (1174 submissions).  Also in Lecture Notes in Computer Science, 6315 LNCS (PART 5), pp. 268-281.
  3. A. Vazquez-Reina, E. Miller, and H. Pfister, Multiphase geometric couplings for the segmentation of neural processes, Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, pp. 2020-2027, 2009.
  4. Jagannathan, A., and Miller, E. L. “Unstructured 3D point cloud matching within graph theoretic and thermodynamic frameworks,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2005


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