Ken D. Sauer

58 papers B 5C 1Misc 9Journal 20Unranked 20
YearRankTypeTitle / Venue / Authors
2022 B conf
A Noise Preserving Sharpening Filter for CT Image Enhancement.
ICIP
Madhuri Nagare, Jie Tang, Obaidullah Rahman, Brian Nett, Roman Melnyk, Ken D. Sauer, Charles A. Bouman
2021 Misc conf
A Bias-Reducing Loss Function for CT Image Denoising.
ICASSP
Madhuri Nagare, Roman Melnyk, Obaidullah Rahman, Ken D. Sauer, Charles A. Bouman
2019 J jnl
Prior-Guided Metal Artifact Reduction for Iterative X-Ray Computed Tomography.
IEEE Trans. Medical Imaging
Zhiqian Chang, Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman
2018 Misc conf
2.5D Deep Learning For CT Image Reconstruction Using A Multi-GPU Implementation.
ACSSC
Amirkoushyar Ziabari, Dong Hye Ye, Somesh Srivastava, Ken D. Sauer, Jean-Baptiste Thibault, Charles A. Bouman
2018 Misc conf
Deep Residual Learning for Model-Based Iterative CT Reconstruction Using Plug-and-Play Framework.
ICASSP
Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman
2017 J jnl
Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging
Lin Fu, Tzu-Cheng Lee, Soo Mee Kim, Adam M. Alessio, Paul E. Kinahan, Zhiqian Chang, Ken D. Sauer, Mannudeep K. Kalra, Bruno De Man
2017 J jnl
Modeling and Pre-Treatment of Photon-Starved CT Data for Iterative Reconstruction.
IEEE Trans. Medical Imaging
Zhiqian Chang, Ruoqiao Zhang, Jean-Baptiste Thibault, Debashish Pal, Lin Fu, Ken D. Sauer, Charles A. Bouman
2016 J jnl
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction With Applications to Low-Dose X-Ray CT.
IEEE Trans. Computational Imaging
Ruoqiao Zhang, Dong Hye Ye, Debashish Pal, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman
2016 J jnl
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT.
CoRR
Ruoqiao Zhang, Dong Hye Ye, Debashish Pal, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman
2016 — ed.
Computational Imaging XIV, San Francisco, California, USA, February 14-18, 2016
Computational Imaging
Charles A. Bouman, Ken D. Sauer
2015 J jnl
A Model-Based Image Reconstruction Algorithm With Simultaneous Beam Hardening Correction for X-Ray CT.
IEEE Trans. Computational Imaging
Pengchong Jin, Charles A. Bouman, Ken D. Sauer
2015 — ed.
Computational Imaging XIII, part of the IS&T-SPIE Electronic Imaging Symposium, San Francisco, California, USA, February 10-11, 2015, Proceedings.
Computational Imaging
Charles A. Bouman, Ken D. Sauer
2014 — ed.
Computational Imaging XII, part of the IS&T-SPIE Electronic Imaging Symposium, San Francisco, California, USA, February 2, 2014, Proceedings.
Computational Imaging
Charles A. Bouman, Ken D. Sauer
2014 J jnl
Model-Based Iterative Reconstruction for Dual-Energy X-Ray CT Using a Joint Quadratic Likelihood Model.
IEEE Trans. Medical Imaging
Ruoqiao Zhang, Jean-Baptiste Thibault, Charles A. Bouman, Ken D. Sauer, Jiang Hsieh
2014 — conf
Statistical x-ray computed tomography imaging from photon-starved measurements.
Computational Imaging
Zhiqian Chang, Ruoqiao Zhang, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman
2013 — conf
Gaussian mixture Markov random field for image denoising and reconstruction.
GlobalSIP
Ruoqiao Zhang, Charles A. Bouman, Jean-Baptiste Thibault, Ken D. Sauer
2013 — conf
Statistical modeling challenges in model-based reconstruction for x-ray CT.
Computational Imaging
Ruoqiao Zhang, Aaron Chang, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman
2012 B conf
Prediction coefficient estimation in Markov random fields for iterative X-ray CT reconstruction.
Image Processing
Jiao Wang, Ken D. Sauer, Jean-Baptiste Thibault, Zhou Yu, Charles A. Bouman
2011 J jnl
Fast Model-Based X-Ray CT Reconstruction Using Spatially Nonhomogeneous ICD Optimization.
IEEE Trans. Image Process.
Zhou Yu, Jean-Baptiste Thibault, Charles A. Bouman, Ken D. Sauer, Jiang Hsieh
2011 — conf
Kinetic parameter reconstruction for motion compensation in transmission tomography.
Computational Imaging
Zhou Yu, Jean-Baptiste Thibault, Jiao Wang, Charles A. Bouman, Ken D. Sauer
2011 — conf
Medical image enhancement using resolution synthesis.
Computational Imaging
Tak-Shing Wong, Charles A. Bouman, Jean-Baptiste Thibault, Ken D. Sauer
2008 — conf
Non-homogeneous ICD optimization for targeted reconstruction of volumetric CT.
Computational Imaging
Zhou Yu, Jean-Baptiste Thibault, Charles A. Bouman, Ken D. Sauer, Jiang Hsieh
2008 — conf
System modeling studies in iterative X-ray CT reconstruction.
ACSCC
Jiao Wang, Jean-Baptiste Thibault, Zhou Yu, Ken D. Sauer, Charles A. Bouman
2007 — conf
Non-homogeneous updates for the iterative coordinate descent algorithm.
Computational Imaging
Zhou Yu, Jean-Baptiste Thibault, Charles A. Bouman, Ken D. Sauer, Jiang Hsieh
2006 — conf
A recursive filter for noise reduction in statistical iterative tomographic imaging.
Computational Imaging
Jean-Baptiste Thibault, Charles A. Bouman, Ken D. Sauer, Jiang Hsieh
2005 J jnl
Direct reconstruction of kinetic parameter images from dynamic PET data.
IEEE Trans. Medical Imaging
Mustafa E. Kamasak, Charles A. Bouman, Evan D. Morris, Ken D. Sauer
2005 — conf
Parametric reconstruction of kinetic PET data with plasma function estimation.
Computational Imaging
Mustafa E. Kamasak, Charles A. Bouman, Evan D. Morris, Ken D. Sauer
2005 B conf
Reconstruction of kinetic parameter images directly from dynamic PET sinograms.
Image Processing
Mustafa E. Kamasak, Charles A. Bouman, Evan D. Morris, Ken D. Sauer
2003 — conf
Bayesian estimation for rheological MRI.
Computational Imaging
Fabien Feron, Ken D. Sauer
2003 J jnl
Quantitative Comparison of FBP, EM, and Bayesian Reconstruction Algorithms, including the Impact of Accurate System Modeling, for the IndyPET Scanner.
IEEE Trans. Medical Imaging
Thomas Frese, Ned C. Rouze, Charles A. Bouman, Ken D. Sauer, Gary D. Hutchins
2002 J jnl
Adaptive wavelet graph model for Bayesian tomographic reconstruction.
IEEE Trans. Image Process.
Thomas Frese, Charles A. Bouman, Ken D. Sauer
2000 B conf
Bayesian Multiresolution Algorithm for PET Reconstruction.
ICIP
Thomas Frese, Charles A. Bouman, Ned C. Rouze, Gary D. Hutchins, Ken D. Sauer
2000 J jnl
Newton-style optimization for emission tomographic estimation.
J. Electronic Imaging
Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman
2000 J jnl
Parallelizable Bayesian tomography algorithms with rapid, guaranteed convergence.
IEEE Trans. Image Process.
Jun Zheng, Suhail S. Saquib, Ken D. Sauer, Charles A. Bouman
1999 — conf
Nonlinear, Noniterative Bayesian Tomographic Image Reconstruction.
ICIP (2)
Blanca L. Andia, Ken D. Sauer, Charles A. Bouman
1998 J jnl
ML parameter estimation for Markov random fields with applications to Bayesian tomography.
IEEE Trans. Image Process.
Suhail S. Saquib, Charles A. Bouman, Ken D. Sauer
1997 — conf
Reconstruction of the Shape of a Compact Object from Few Projections.
ICIP (1)
Ali Mohammad-Djafari, Yassine Khayi, Ken D. Sauer, Eric Cano
1996 — conf
A non-homogeneous MRF model for multiresolution Bayesian estimation.
ICIP (2)
Suhail S. Saquib, Charles A. Bouman, Ken D. Sauer
1996 J jnl
A unified approach to statistical tomography using coordinate descent optimization.
IEEE Trans. Image Process.
Charles A. Bouman, Ken D. Sauer
1996 Misc conf
Efficient ML estimation of the shape parameter for generalized Gaussian MRFs.
ICASSP
Suhail S. Saquib, Charles A. Bouman, Ken D. Sauer
1996 J jnl
Efficient block motion estimation using integral projections.
IEEE Trans. Circuits Syst. Video Technol.
Ken D. Sauer, Brian Schwartz
1996 — conf
Provably convergent coordinate descent in statistical tomographic reconstruction.
ICIP (2)
Suhail S. Saquib, Jun Zheng, Charles A. Bouman, Ken D. Sauer
1995 — conf
Computationally efficient 3-D statistical reconstruction from digitized radiographs.
ICIP (3)
Huy Phan, Ken D. Sauer
1995 B conf
Parallel computation of sequential pixel updates in statistical tomographic reconstruction.
ICIP
Ken D. Sauer, Sean Borman, Charles A. Bouman
1995 Misc conf
Tractable models and efficient algorithms for Bayesian tomography.
ICASSP
Charles A. Bouman, Ken D. Sauer, Suhail S. Saquib
1994 — conf
A Hough Transform Technique for Detection of Rotationally Invariant Surface Features.
ICIP (1)
Mike Hoffelder, Ken D. Sauer, J. Keith Rigby Jr.
1994 — conf
Maximum Likelihood Dosage Estimation for Bayesian Transmission Tomography.
ICIP (2)
Ken D. Sauer, Charles A. Bouman
1994 — conf
Maximum likelihood scale estimation for a class of Markov random fields.
ICASSP (5)
Charles A. Bouman, Ken D. Sauer
1993 — conf
A Bayesian segmentation approach to 3-D tomographic reconstruction from few radiographs.
ICASSP (5)
Catherine Klifa, Ken D. Sauer
1993 J jnl
A generalized Gaussian image model for edge-preserving MAP estimation.
IEEE Trans. Image Process.
Charles A. Bouman, Ken D. Sauer
1993 J jnl
A local update strategy for iterative reconstruction from projections.
IEEE Trans. Signal Process.
Ken D. Sauer, Charles A. Bouman
1993 J jnl
Bayesian Block-Wise Segmentation of Interframe Differences in Video Sequences.
CVGIP Graph. Model. Image Process.
Ken D. Sauer, Coleen Jones
1993 C conf
Integral projection methods for block motion estimation.
VCIP
Brian Schwartz, Ken D. Sauer
1991 Misc conf
Bayesian estimation from projections with low photon dosages.
ICASSP
Ken D. Sauer, Charles A. Bouman
1991 J jnl
Enhancement of low bit-rate coded images using edge detection and estimation.
CVGIP Graph. Model. Image Process.
Ken D. Sauer
1990 Misc conf
Image reconstruction from a limited number of projections using multiple object detection/estimation.
ICASSP
Ken D. Sauer, Bede Liu
1989 Misc conf
Nonstationary filtering for removal of signal dependent noise in reconstructions from projections.
ICASSP
Ken D. Sauer, Bede Liu
1986 Misc conf
Iterative reconstruction of multidimensional signals from nonuniformly spaced samples.
ICASSP
Ken D. Sauer, Jan P. Allebach