Prof. Joseph A. O'Sullivan Profile

Prof. Joseph A. O'Sullivan

Professor at Washington Univ in St Louis

SPIE Involvement:

Author

Publications (45)

Proceedings Article | 7 April 2023 Presentation + Paper

MB-DECTNet: a model-based unrolled network for accurate 3D DECT reconstruction

Tao Ge, Maria Medrano, Rui Liao, David Politte, Jeffrey Williamson, Bruce Whiting, Joseph O'Sullivan

Proceedings Volume 12463, 124631S (2023) https://doi.org/10.1117/12.2654252

KEYWORDS: Machine learning, Dual energy imaging, Reconstruction algorithms, 3D image reconstruction, Computed tomography, CT reconstruction

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Proceedings Article | 4 April 2022 Presentation + Paper

Dose prediction in proton cancer therapy based on density maps from dual-energy CT using joint statistical image reconstruction

Maria Jose Medrano Matamoros, Xinyuan Chen, Tao Ge, Tianyu Zhao, Rui Liao, David Politte, Jeffrey Willamson, Bruce Whiting, Yao Hao, Baozhou Sun, Joseph O'Sullivan

Proceedings Volume 12031, 1203119 (2022) https://doi.org/10.1117/12.2611801

KEYWORDS: Monte Carlo methods, Computed tomography, Cancer, Error analysis, Image restoration, Calibration, Tumors, Statistical modeling, Signal processing

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Proceedings Article | 22 May 2020 Paper

High sensitivity dedicated dual-breast PET/MR imaging: concept and preliminary simulations

Martin Tornai, Suranjana Samanta, Stanislaw Majewski, Mark Williams, Timothy Turkington, Alan Register, Jianyong Jiang, Segei Dolinsky, Joseph O'Sullivan, Yuan-Chuan Tai

Proceedings Volume 11513, 1151318 (2020) https://doi.org/10.1117/12.2563650

KEYWORDS: Positron emission tomography, Breast, Sensors, Monte Carlo methods, Imaging systems, Magnetic resonance imaging, Biopsy, Scanners, Chest, Breast imaging

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Proceedings Article | 16 March 2020 Paper

Accurate proton stopping power images reconstructed using joint statistical dual energy CT: experimental verification and impact of fan-beam CT scatter

Maria Medrano, Ruirui Liu, Tyler Webb, Tianyu Zhao, Jeffrey Williamson, Bruce Whiting, David Politte, Mariela Porras-Chaverri, Joseph O'Sullivan

Proceedings Volume 11312, 113121S (2020) https://doi.org/10.1117/12.2549788

KEYWORDS: Error analysis, Collimation, Computed tomography, Tissues, Statistical analysis, Data modeling, Image restoration, Scanners, Dual energy imaging

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Proceedings Article | 28 May 2019 Paper

Low-dose photon counting CT reconstruction bias reduction with multi-energy alternating minimization algorithm

Jingwei Lu, Shuangyue Zhang, David Politte, Joseph O'Sullivan

Proceedings Volume 11072, 110721Q (2019) https://doi.org/10.1117/12.2534897

KEYWORDS: Reconstruction algorithms, Photon counting, Computed tomography, CT reconstruction, Algorithm development, X-ray computed tomography, Sensors

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Proceedings Article | 1 May 2017 Presentation + Paper

Multi-energy penalized maximum-likelihood reconstruction for x-ray security imaging

David Politte, Jingwei Lu, Joseph O'Sullivan, Eric Johnson, Carl Bosch

Proceedings Volume 10187, 101870D (2017) https://doi.org/10.1117/12.2263343

KEYWORDS: X-ray imaging, Information security, Computational imaging, Photon counting, Reconstruction algorithms, X-rays, Imaging systems, Computing systems, Mathematical modeling, Physics, Signal attenuation, Aluminum, Photons, Material characterization, Adaptive optics

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Proceedings Article | 12 May 2016 Paper

Optimizing convergence rates of alternating minimization reconstruction algorithms for real-time explosive detection applications

Carl Bosch, Soysal Degirmenci, Jason Barlow, Assaf Mesika, David Politte, Joseph O'Sullivan

Proceedings Volume 9847, 98470P (2016) https://doi.org/10.1117/12.2224173

KEYWORDS: Reconstruction algorithms, Expectation maximization algorithms, Scanners, Explosives detection, Algorithm development, X-ray computed tomography, Image quality, Objectives, Signal attenuation, Positron emission tomography

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Proceedings Article | 12 May 2016 Paper

Domain and range decomposition methods for coded aperture x-ray coherent scatter imaging

Ikenna Odinaka, Yan Kaganovsky, Joseph O'Sullivan, David Politte, Andrew Holmgren, Joel Greenberg, Lawrence Carin, David Brady

Proceedings Volume 9847, 98470R (2016) https://doi.org/10.1117/12.2224265

KEYWORDS: Coherence imaging, Coded apertures, Expectation maximization algorithms, Reconstruction algorithms, X-ray imaging, X-rays, Coded aperture imaging, Image restoration, Image processing, Optimization (mathematics)

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Proceedings Article | 25 March 2016 Paper

Coded aperture x-ray diffraction imaging with transmission computed tomography side-information

Ikenna Odinaka, Joel Greenberg, Yan Kaganovsky, Andrew Holmgren, Mehadi Hassan, David Politte, Joseph O'Sullivan, Lawrence Carin, David Brady

Proceedings Volume 9783, 978323 (2016) https://doi.org/10.1117/12.2216915

KEYWORDS: Coded aperture imaging, X-ray diffraction, X-ray computed tomography, CT reconstruction, X-ray imaging, Computed tomography, Image restoration, Reconstruction algorithms, X-rays, Fluctuations and noise

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Proceedings Article | 20 March 2015 Paper

Alternating minimization algorithm with iteratively reweighted quadratic penalties for compressive transmission tomography

Yan Kaganovsky, Soysal Degirmenci, Shaobo Han, Ikenna Odinaka, David Politte, David Brady, Joseph O'Sullivan, Lawrence Carin

Proceedings Volume 9413, 94130J (2015) https://doi.org/10.1117/12.2081986

KEYWORDS: Expectation maximization algorithms, Reconstruction algorithms, Sensors, Tomography, Signal attenuation, X-rays, Image restoration, X-ray computed tomography, Molybdenum, Algorithm development

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Proceedings Article | 12 March 2015 Paper

Acceleration of iterative image reconstruction for x-ray imaging for security applications

Soysal Degirmenci, David Politte, Carl Bosch, Nawfel Tricha, Joseph O'Sullivan

Proceedings Volume 9401, 94010C (2015) https://doi.org/10.1117/12.2082966

KEYWORDS: Reconstruction algorithms, Signal attenuation, Image restoration, X-ray imaging, Neodymium, Switching, Metals, Detection and tracking algorithms, Image analysis, Homeland security

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Proceedings Article | 16 March 2011 Paper

Effect of contrast magnitude and resolution metric on noise-resolution tradeoffs in x-ray CT imaging: a comparison of non-quadratic penalized alternating minimization and filtered backprojection algorithms

Joshua Evans, David Politte, Bruce Whiting, Joseph O'Sullivan, Jeffrey Williamson

Proceedings Volume 7961, 79612C (2011) https://doi.org/10.1117/12.876701

KEYWORDS: Modulation transfer functions, Reconstruction algorithms, Image resolution, Amplitude modulation, Bone, Spatial resolution, X-ray computed tomography, Image filtering, X-rays, Expectation maximization algorithms

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Proceedings Article | 27 January 2010 Paper

Implementation and evaluation of a penalized alternating minimization algorithm for computational DIC microscopy

Chrysanthe Preza, Joseph O'Sullivan

Proceedings Volume 7533, 75330E (2010) https://doi.org/10.1117/12.839020

KEYWORDS: Digital image correlation, Signal to noise ratio, Yeast, Point spread functions, Microscopy, Transmittance, Error analysis, Computer simulations, Inverse problems, Phase measurement

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Proceedings Article | 5 May 2009 Paper

Laser Doppler vibrometry measures of physiological function: evaluation of biometric capabilities

Mei Chen, Joseph O'Sullivan, Naveen Singla, Erik Sirevaag, John Rohrbaugh

Proceedings Volume 7306, 730623 (2009) https://doi.org/10.1117/12.818283

KEYWORDS: Laser Doppler velocimetry, Biometrics, Data modeling, Time-frequency analysis, Data fusion, Electrocardiography, Doppler effect, Performance modeling, Signal processing, Information fusion

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Proceedings Article | 5 May 2009 Paper

Laser Doppler vibrometry measurements of the carotid pulse: biometrics using hidden Markov models

Alan Kaplan, Joseph O'Sullivan, Erik Sirevaag, John Rohrbaugh

Proceedings Volume 7306, 730624 (2009) https://doi.org/10.1117/12.818558

KEYWORDS: Laser Doppler velocimetry, Biometrics, Pulsed laser operation, Doppler effect, Vibrometry, Laser marking, Bandpass filters, Electronic filtering, Chromium, Laser applications

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Proceedings Article | 3 February 2009 Paper

Quantitative phase and amplitude imaging using Differential-Interference Contrast (DIC) microscopy

Chrysanthe Preza, Joseph O'Sullivan

Proceedings Volume 7246, 724604 (2009) https://doi.org/10.1117/12.819929

KEYWORDS: Digital image correlation, Amplitude modulation, Microscopy, Computer simulations, Inverse problems, Algorithm development, Point spread functions, Objectives, Phase measurement, Image analysis

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Proceedings Article | 26 February 2008 Paper

Alternating minimization algorithm for quantitative differential-interference contrast (DIC) microscopy

Joseph O'Sullivan, Chrysanthe Preza

Proceedings Volume 6814, 68140Y (2008) https://doi.org/10.1117/12.785471

KEYWORDS: Digital image correlation, Amplitude modulation, Image analysis, Reconstruction algorithms, Microscopy, Error analysis, Algorithm development, Point spread functions, Absorption, Objectives

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Proceedings Article | 8 August 2007 Paper

Quantitative determination of specimen properties using computational differential-interference contrast (DIC) microscopy

Chrysanthe Preza, Joseph O’Sullivan

Proceedings Volume 6630, 66300E (2007) https://doi.org/10.1117/12.729527

KEYWORDS: Digital image correlation, Expectation maximization algorithms, Microscopy, Error analysis, Amplitude modulation, Algorithm development, Point spread functions, Transmittance, Data modeling, Image analysis

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Proceedings Article | 28 March 2007 Paper

Missing data estimation for fully 3D spiral CT image reconstruction

Daniel Keesing, Joseph O'Sullivan, David Politte, Bruce Whiting, Donald Snyder

Proceedings Volume 6510, 65105V (2007) https://doi.org/10.1117/12.713502

KEYWORDS: Reconstruction algorithms, Sensors, Data analysis, Signal attenuation, Scanners, CT reconstruction, Statistical analysis, 3D image processing, Computed tomography, Tomography

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Proceedings Article | 28 February 2007 Paper

Image reconstruction performance as a function of model complexity using information geometry: application to transmission tomographic imaging

Joseph O'Sullivan, Liangjun Xie, David Politte, Bruce Whiting

Proceedings Volume 6498, 649806 (2007) https://doi.org/10.1117/12.716264

KEYWORDS: Data modeling, Error analysis, Sensors, Reconstruction algorithms, Data analysis, Algorithm development, Systems modeling, Statistical modeling, Image restoration, Physics

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Proceedings Article | 2 February 2006 Paper

Image reconstruction algorithms for a novel PET system with a half-ring insert

Debashish Pal, Yuan-Chuan Tai, Martin Janecek, Heyu Wu, Joseph O'Sullivan

Proceedings Volume 6065, 60650T (2006) https://doi.org/10.1117/12.648435

KEYWORDS: Sensors, Image resolution, Positron emission tomography, Expectation maximization algorithms, Scanners, Imaging systems, Reconstruction algorithms, Monte Carlo methods, Breast, Image restoration

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Proceedings Article | 11 March 2005 Paper

Implementation of alternating minimization algorithms for fully 3D CT imaging

David Politte, Shenyu Yan, Joseph O'Sullivan, Donald Snyder, Bruce Whiting

Proceedings Volume 5674, (2005) https://doi.org/10.1117/12.602748

KEYWORDS: Sensors, Signal attenuation, Scanners, Detection and tracking algorithms, Data modeling, X-rays, X-ray sources, Polymethylmethacrylate, 3D image processing, X-ray computed tomography

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Proceedings Article | 21 May 2004 Paper

Alternating minimization multigrid algorithms for transmission tomography

Joseph O'Sullivan, Jasenka Benac

Proceedings Volume 5299, (2004) https://doi.org/10.1117/12.537508

KEYWORDS: Tomography, Reconstruction algorithms, Signal attenuation, Expectation maximization algorithms, Image restoration, X-ray computed tomography, CT reconstruction, Algorithm development, Data modeling, X-rays

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Proceedings Article | 12 September 2003 Paper

Azimuth correlation models for radar imaging

Michael DeVore, Joseph O'Sullivan, Lee Montagnino

Proceedings Volume 5095, (2003) https://doi.org/10.1117/12.488642

KEYWORDS: Reflectivity, Data modeling, Radar, Synthetic aperture radar, Expectation maximization algorithms, Detection and tracking algorithms, Image processing, Data processing, Target recognition, Statistical analysis

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Proceedings Article | 15 May 2003 Paper

Sieve-regularized image reconstruction algorithm with pose search in transmission tomography

Ryan Murphy, Donald Snyder, David Politte, Joseph O'Sullivan

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.481362

KEYWORDS: Signal attenuation, Reconstruction algorithms, Tomography, Image restoration, Data modeling, Algorithm development, Image analysis, Image processing, Data analysis, Tissues

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Proceedings Article | 1 August 2002 Paper

Conditionally gamma- and k-distribution models for SAR ATR

Michael DeVore, Joseph O'Sullivan, Lee Montagnino

Proceedings Volume 4727, (2002) https://doi.org/10.1117/12.478690

KEYWORDS: Data modeling, Synthetic aperture radar, Statistical modeling, Automatic target recognition, Statistical analysis, Algorithm development, Expectation maximization algorithms, Radar, Model-based design, Detection and tracking algorithms

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Proceedings Article | 9 May 2002 Paper

Incorporating known information into image reconstruction algorithms for transmission tomography

Ryan Murphy, Joseph O'Sullivan, Jasenka Benac, Donald Snyder, Bruce Whiting, David Politte, Jeffrey Williamson

Proceedings Volume 4684, (2002) https://doi.org/10.1117/12.467179

KEYWORDS: Signal attenuation, Data modeling, Metals, Tomography, Reconstruction algorithms, Expectation maximization algorithms, Image filtering, Photons, Image restoration, Image transmission

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Proceedings Article | 22 October 2001 Paper

Relationships between computational system performance and recognition system performance

Michael DeVore, Joseph O'Sullivan, Roger Chamberlain, Mark Franklin

Proceedings Volume 4379, (2001) https://doi.org/10.1117/12.445384

KEYWORDS: Image processing, Synthetic aperture radar, Computing systems, Data modeling, Automatic target recognition, Telecommunications, Performance modeling, Radar, Microelectromechanical systems, Target recognition

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Proceedings Article | 22 October 2001 Paper

Classification of Gaussian data with sieve-regularized estimates

Natalia Schmid, Joseph O'Sullivan

Proceedings Volume 4379, (2001) https://doi.org/10.1117/12.445405

KEYWORDS: Error analysis, Statistical analysis, Analytical research, Expectation maximization algorithms, Data analysis, Stochastic processes, Classification systems, Data modeling, Image classification, Binary data

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Proceedings Article | 27 August 2001 Paper

Statistical assessment of model fit for synthetic aperture radar data

Michael DeVore, Joseph O'Sullivan

Proceedings Volume 4382, (2001) https://doi.org/10.1117/12.438231

KEYWORDS: Data modeling, Synthetic aperture radar, Statistical modeling, Statistical analysis, Performance modeling, Data acquisition, Algorithm development, Radar, Sensors, Detection and tracking algorithms

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Proceedings Article | 27 August 2001 Paper

Probabilistic approach to model extraction from training data

Michael DeVore, Joseph O'Sullivan, Sushil Anand, Natalia Schmid

Proceedings Volume 4382, (2001) https://doi.org/10.1117/12.438229

KEYWORDS: Data modeling, Automatic target recognition, Target recognition, Model-based design, Statistical modeling, Synthetic aperture radar, Radar, Solid modeling, Image segmentation, Systems modeling

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Many of the approaches to automatic target recognition (ATR) for synthetic aperture radar (SAR) images that have been proposed in the literature fall into one of two broad classes, those based on prediction of images from models (CAD or otherwise) of the targets and those based on templates describing typical received images which are often estimated from sample data. Systems utilizing model-based prediction typically synthesize an expected SAR image given some target class and pose and then search for the combination of class and pose which maximizes some match metric between the synthesized and observed images. This approach has the advantage of being robust with respect to target pose and articulation not previously encountered but does require detailed models of the targets of interest. On the other hand, template-based systems typically do not require detailed target models but instead store expected images for a range of targets and poses based on previous observations (training data) and then search for the template which most closely represents the observed image. We consider the design and use of probabilistic models for targets developed from training data which do not require CAD models of the targets but which can be used in a hypothesize-and-predict manner similar to other model-based approaches. The construction of such models requires the extraction from training data of functions which characterize the target radar cross section in terms of target class, pose, articulation, and other sources of variability. We demonstrate this approach using a conditionally Gaussian model for SAR image data and under that model develop the tools required to determine target models and to use those models to solve inference problems from an image of an unknown target. The conditionally Gaussian model is applied in a target-centered reference frame resulting in a probabilistic model on the surface of the target. The model is segmented based on the information content in regions of the target space. Modeling radar power variability and target positional uncertainty results in improved accuracy. Performance results are presented for both target classification and orientation estimation using the publicly available MSTAR dataset.

Proceedings Article | 2 February 2001 Paper

Shape estimation for online diameter calibration in Czochralski silicon crystal growth

Steven Kimbel, Joseph O'Sullivan

Proceedings Volume 4188, (2001) https://doi.org/10.1117/12.417181

KEYWORDS: Crystals, Cameras, 3D modeling, Calibration, Silicon, Edge detection, Reflection, Solids, Filtering (signal processing), Detection and tracking algorithms

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Proceedings Article | 24 August 2000 Paper

Performance-complexity tradeoffs for several approaches to ATR from SAR images

Joseph O'Sullivan, Michael DeVore

Proceedings Volume 4053, (2000) https://doi.org/10.1117/12.396370

KEYWORDS: Synthetic aperture radar, Detection and tracking algorithms, Databases, Automatic target recognition, Error analysis, Data modeling, Performance modeling, Image classification, Target recognition, Radar

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Proceedings Article | 17 August 2000 Paper

Method for reducing dimensionality in ATR systems

Joseph O'Sullivan, Natalia Schmid

Proceedings Volume 4050, (2000) https://doi.org/10.1117/12.395582

KEYWORDS: Error analysis, Data modeling, Statistical analysis, Stochastic processes, Monte Carlo methods, Pattern recognition, Automatic target recognition, Feature selection, Samarium, Fourier transforms

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Proceedings Article | 17 August 2000 Paper

ATR performance of a Rician model for SAR images

Michael DeVore, Aaron Lanterman, Joseph O'Sullivan

Proceedings Volume 4050, (2000) https://doi.org/10.1117/12.395589

KEYWORDS: Synthetic aperture radar, Data modeling, Detection and tracking algorithms, Performance modeling, Automatic target recognition, Error analysis, Expectation maximization algorithms, Databases, Target recognition, System on a chip

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SPIE Journal Paper | 1 December 1999

Kullback-Leibler distances for quantifying clutter and models

Aaron Lanterman, Joseph O'Sullivan, Michael Miller

OE, Vol. 38, Issue 12, (December 1999) https://doi.org/10.1117/12.10.1117/1.602323

KEYWORDS: Data modeling, Performance modeling, Systems modeling, Automatic target recognition, Target detection, Sensors, Optical engineering, Solids, Monte Carlo methods, Model-based design

Proceedings Article | 24 August 1999 Paper

Estimation of overlapping spectral signatures from hyperspectral data

Donald Snyder, Joseph O'Sullivan, Daniel Fuhrmann, William Smith

Proceedings Volume 3718, (1999) https://doi.org/10.1117/12.359983

KEYWORDS: Reflectivity, Data modeling, Sensors, Spectroscopy, Imaging spectrometry, Matrices, Information operations, Hyperspectral imaging, Signal to noise ratio, Statistical analysis

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Proceedings Article | 24 August 1999 Paper

Multispectral sensor fusion for ground-based target orientation estimation: FLIR, ladar, HRR

Joseph Kostakis, Matthew Cooper, Thomas Green, Michael Miller, Joseph O'Sullivan, Jeffrey Shapiro, Donald Snyder

Proceedings Volume 3718, (1999) https://doi.org/10.1117/12.359949

KEYWORDS: Sensors, LIDAR, Signal to noise ratio, Radar, Error analysis, Forward looking infrared, Infrared sensors, Statistical modeling, Sensor fusion, Imaging systems

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Proceedings Article | 13 August 1999 Paper

Dependence of ATR system performance on size of training sets

Joseph O'Sullivan, Natalia Schmid

Proceedings Volume 3721, (1999) https://doi.org/10.1117/12.357688

KEYWORDS: Probability theory, Automatic target recognition, Data modeling, Systems modeling, Statistical analysis, Binary data, Information operations, Receivers, Radar, Target detection

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Proceedings Article | 18 September 1998 Paper

Multispectral active-passive sensor fusion for ground-based target orientation estimation

Joseph Kostakis, Matthew Cooper, Thomas Green, Michael Miller, Joseph O'Sullivan, Jeffrey Shapiro, Donald Snyder

Proceedings Volume 3371, (1998) https://doi.org/10.1117/12.323868

KEYWORDS: Sensors, LIDAR, Error analysis, Forward looking infrared, Radar, Signal to noise ratio, Sensor fusion, Infrared sensors, Passive sensors, Imaging systems

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Proceedings Article | 15 September 1998 Paper

Stochastic models and performance bounds for pose estimation using high-resolution radar data

Joseph O'Sullivan, Steven Jacobs, Vikas Kedia

Proceedings Volume 3370, (1998) https://doi.org/10.1117/12.321860

KEYWORDS: Data modeling, Radar, Performance modeling, Target recognition, Sensors, Polarization, Statistical analysis, Error analysis, 3D modeling, Statistical modeling

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Proceedings Article | 23 June 1997 Paper

High-resolution radar models for joint tracking and recognition

Steven Jacobs, Joseph O'Sullivan

Proceedings Volume 3069, (1997) https://doi.org/10.1117/12.277146

KEYWORDS: Data modeling, Target recognition, Sensors, Error analysis, Radar, Performance modeling, Signal to noise ratio, L band, Automatic target recognition, X band

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Proceedings Article | 5 November 1996 Paper

Automatic target recognition system using high-resolution radar

Steven Jacobs, Joseph O'Sullivan, Mohammad Faisal, Donald Snyder

Proceedings Volume 2845, (1996) https://doi.org/10.1117/12.257247

KEYWORDS: Target recognition, Data modeling, Radar, Detection and tracking algorithms, Automatic target recognition, Sensors, Computer simulations, Associative arrays, Target detection, Stochastic processes

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Proceedings Article | 8 December 1995 Paper

Write-read-write signal precompensation techniques for magnetic recording

Joseph O'Sullivan, Dakshi Agrawal, Ronald Indeck, Marcel Muller

Proceedings Volume 2605, (1995) https://doi.org/10.1117/12.228242

KEYWORDS: Interference (communication), Magnetism, Systems modeling, Head, Signal to noise ratio, Fourier transforms, Electronics, Distortion, Manufacturing, Signal processing

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Proceedings Article | 15 October 1993 Paper

Reflectivity models for radar target recognition

Joseph O'Sullivan, K. Du, Robert Teichman, Michael Miller, Donald Snyder, Vincent Vannicola

Proceedings Volume 1960, (1993) https://doi.org/10.1117/12.160588

KEYWORDS: Radar, Target recognition, Reflectivity, Data modeling, Detection and tracking algorithms, Antennas, Receivers, Sensors, Object recognition, Automatic target recognition

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Showing 5 of 45 publications

Conference Committee Involvement (31)

Anomaly Detection and Imaging with X-Rays (ADIX) VIII

3 May 2023 | Orlando, Florida, United States

Anomaly Detection and Imaging with X-Rays (ADIX) VII

4 April 2022 | Orlando, Florida, United States

Anomaly Detection and Imaging with X-Rays (ADIX) VI

12 April 2021 | Online Only, Florida, United States

Anomaly Detection and Imaging with X-Rays (ADIX) V

27 April 2020 | Online Only, California, United States

Anomaly Detection and Imaging with X-Rays (ADIX) IV

15 April 2019 | Baltimore, MD, United States

Anomaly Detection and Imaging with X-Rays (ADIX) III

17 April 2018 | Orlando, FL, United States

Anomaly Detection and Imaging with X-Rays (ADIX) II

12 April 2017 | Anaheim, CA, United States

Automatic Target Recognition XXVII

10 April 2017 | Anaheim, CA, United States

Anomaly Detection and Imaging with X-Rays (ADIX)

19 April 2016 | Baltimore, MD, United States

Automatic Target Recognition XXVI

18 April 2016 | Baltimore, MD, United States

Automatic Target Recognition XXV

20 April 2015 | Baltimore, MD, United States

Automatic Target Recognition XXIV

5 May 2014 | Baltimore, MD, United States

Automatic Target Recognition XXIII

29 April 2013 | Baltimore, Maryland, United States

Computational Imaging XI

5 February 2013 | Burlingame, California, United States

Automatic Target Recognition XXII

23 April 2012 | Baltimore, Maryland, United States

Computational Imaging X

23 January 2012 | Burlingame, California, United States

Automatic Target Recognition XXI

25 April 2011 | Orlando, Florida, United States

Automatic Target Recognition XX

5 April 2010 | Orlando, Florida, United States

Computational Imaging VIII

18 January 2010 | San Jose, California, United States

Automatic Target Recognition XIX

13 April 2009 | Orlando, Florida, United States

Computational Imaging VII

19 January 2009 | San Jose, California, United States

Automatic Target Recognition XVIII

19 March 2008 | Orlando, Florida, United States

Computational Imaging VI

28 January 2008 | San Jose, California, United States

Automatic Target Recognition XVII

10 April 2007 | Orlando, Florida, United States

Computational Imaging V

29 January 2007 | San Jose, CA, United States

Automatic Target Recognition XVI

18 April 2006 | Orlando (Kissimmee), Florida, United States

Computational Imaging IV

16 January 2006 | San Jose, California, United States

Automatic Target Recognition XV

29 March 2005 | Orlando, Florida, United States

Automatic Target Recognition XIV

13 April 2004 | Orlando, Florida, United States

Automatic Target Recognition XIII

22 April 2003 | Orlando, Florida, United States

Geo-Spatial Image and Data Exploitation Developments and Applications III

4 April 2002 | Orlando, FL, United States

Showing 5 of 31 Conference Committees

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