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Ken D. Sauer
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2020 – today
- 2022
- [c35]Madhuri Nagare, Jie Tang, Obaidullah Rahman
, Brian Nett, Roman Melnyk, Ken D. Sauer, Charles A. Bouman:
A Noise Preserving Sharpening Filter for CT Image Enhancement. ICIP 2022: 2566-2570 - 2021
- [c34]Madhuri Nagare, Roman Melnyk, Obaidullah Rahman
A Bias-Reducing Loss Function for CT Image Denoising. ICASSP 2021: 1175-1179
2010 – 2019
- 2019
- [j19]Zhiqian Chang
Prior-Guided Metal Artifact Reduction for Iterative X-Ray Computed Tomography. IEEE Trans. Medical Imaging 38(6): 1532-1542 (2019) - 2018
- [c33]Amirkoushyar Ziabari, Dong Hye Ye, Somesh Srivastava, Ken D. Sauer, Jean-Baptiste Thibault, Charles A. Bouman:
2.5D Deep Learning For CT Image Reconstruction Using A Multi-GPU Implementation. ACSSC 2018: 2044-2049 - [c32]Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman:
Deep Residual Learning for Model-Based Iterative CT Reconstruction Using Plug-and-Play Framework. ICASSP 2018: 6668-6672 - 2017
- [j18]Zhiqian Chang, Ruoqiao Zhang
Modeling and Pre-Treatment of Photon-Starved CT Data for Iterative Reconstruction. IEEE Trans. Medical Imaging 36(1): 277-287 (2017) - [j17]Lin Fu, Tzu-Cheng Lee, Soo Mee Kim, Adam M. Alessio, Paul E. Kinahan
Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction. IEEE Trans. Medical Imaging 36(3): 707-720 (2017) - 2016
- [j16]Ruoqiao Zhang
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction With Applications to Low-Dose X-Ray CT. IEEE Trans. Computational Imaging 2(3): 359-374 (2016) - [e3]Charles A. Bouman, Ken D. Sauer:
Computational Imaging XIV, San Francisco, California, USA, February 14-18, 2016. Society for Imaging Science and Technology 2016 [contents] - [i1]Ruoqiao Zhang, Dong Hye Ye, Debashish Pal, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman:
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT. CoRR abs/1605.04006 (2016) - 2015
- [j15]Pengchong Jin, Charles A. Bouman, Ken D. Sauer:
A Model-Based Image Reconstruction Algorithm With Simultaneous Beam Hardening Correction for X-Ray CT. IEEE Trans. Computational Imaging 1(3): 200-216 (2015) - [e2]Charles A. Bouman, Ken D. Sauer:
Computational Imaging XIII, part of the IS&T-SPIE Electronic Imaging Symposium, San Francisco, California, USA, February 10-11, 2015, Proceedings. SPIE Proceedings 9401, IS&T/SPIE 2015, ISBN 978-1-6284-1491-2 [contents] - 2014
- [j14]Ruoqiao Zhang
Model-Based Iterative Reconstruction for Dual-Energy X-Ray CT Using a Joint Quadratic Likelihood Model. IEEE Trans. Medical Imaging 33(1): 117-134 (2014) - [c31]Zhiqian Chang, Ruoqiao Zhang
Statistical x-ray computed tomography imaging from photon-starved measurements. Computational Imaging 2014: 90200G - [e1]Charles A. Bouman, Ken D. Sauer:
Computational Imaging XII, part of the IS&T-SPIE Electronic Imaging Symposium, San Francisco, California, USA, February 2, 2014, Proceedings. SPIE Proceedings 9020, IS&T/SPIE 2014, ISBN 978-0-8194-9937-0 [contents] - 2013
- [c30]Ruoqiao Zhang
Statistical modeling challenges in model-based reconstruction for x-ray CT. Computational Imaging 2013: 86570S - [c29]Ruoqiao Zhang
Gaussian mixture Markov random field for image denoising and reconstruction. GlobalSIP 2013: 1089-1092 - 2012
- [c28]Jiao Wang, Ken D. Sauer, Jean-Baptiste Thibault, Zhou Yu, Charles A. Bouman:
Prediction coefficient estimation in Markov random fields for iterative X-ray CT reconstruction. Image Processing 2012: 831444 - 2011
- [j13]Zhou Yu, Jean-Baptiste Thibault, Charles A. Bouman, Ken D. Sauer, Jiang Hsieh:
Fast Model-Based X-Ray CT Reconstruction Using Spatially Nonhomogeneous ICD Optimization. IEEE Trans. Image Process. 20(1): 161-175 (2011) - [c27]Zhou Yu, Jean-Baptiste Thibault, Jiao Wang, Charles A. Bouman, Ken D. Sauer:
Kinetic parameter reconstruction for motion compensation in transmission tomography. Computational Imaging 2011: 78730T - [c26]Tak-Shing Wong, Charles A. Bouman, Jean-Baptiste Thibault, Ken D. Sauer:
Medical image enhancement using resolution synthesis. Computational Imaging 2011: 787307
2000 – 2009
- 2008
- [c25]Jiao Wang, Jean-Baptiste Thibault, Zhou Yu, Ken D. Sauer, Charles A. Bouman:
System modeling studies in iterative X-ray CT reconstruction. ACSCC 2008: 1072-1076 - [c24]Zhou Yu, Jean-Baptiste Thibault, Charles A. Bouman, Ken D. Sauer, Jiang Hsieh:
Non-homogeneous ICD optimization for targeted reconstruction of volumetric CT. Computational Imaging 2008: 681404 - 2007
- [c23]Zhou Yu, Jean-Baptiste Thibault, Charles A. Bouman, Ken D. Sauer, Jiang Hsieh:
Non-homogeneous updates for the iterative coordinate descent algorithm. Computational Imaging 2007: 64981B - 2006
- [c22]Jean-Baptiste Thibault, Charles A. Bouman, Ken D. Sauer, Jiang Hsieh:
A recursive filter for noise reduction in statistical iterative tomographic imaging. Computational Imaging 2006: 60650X - 2005
- [j12]Mustafa E. Kamasak
Direct reconstruction of kinetic parameter images from dynamic PET data. IEEE Trans. Medical Imaging 24(5): 636-650 (2005) - [c21]Mustafa E. Kamasak, Charles A. Bouman, Evan D. Morris, Ken D. Sauer:
Parametric reconstruction of kinetic PET data with plasma function estimation. Computational Imaging 2005: 293-304 - [c20]Mustafa E. Kamasak, Charles A. Bouman, Evan D. Morris, Ken D. Sauer:
Reconstruction of kinetic parameter images directly from dynamic PET sinograms. Image Processing 2005 - 2003
- [j11]Thomas Frese, Ned C. Rouze, Charles A. Bouman, Ken D. Sauer, Gary D. Hutchins:
Quantitative Comparison of FBP, EM, and Bayesian Reconstruction Algorithms, including the Impact of Accurate System Modeling, for the IndyPET Scanner. IEEE Trans. Medical Imaging 22(2): 258-276 (2003) - [c19]Fabien Feron, Ken D. Sauer:
Bayesian estimation for rheological MRI. Computational Imaging 2003: 123-130 - 2002
- [j10]Thomas Frese, Charles A. Bouman, Ken D. Sauer:
Adaptive wavelet graph model for Bayesian tomographic reconstruction. IEEE Trans. Image Process. 11(7): 756-770 (2002) - 2000
- [j9]Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman:
Newton-style optimization for emission tomographic estimation. J. Electronic Imaging 9(3): 269-282 (2000) - [j8]Jun Zheng, Suhail S. Saquib, Ken D. Sauer, Charles A. Bouman:
Parallelizable Bayesian tomography algorithms with rapid, guaranteed convergence. IEEE Trans. Image Process. 9(10): 1745-1759 (2000) - [c18]Thomas Frese, Charles A. Bouman, Ned C. Rouze, Gary D. Hutchins, Ken D. Sauer:
Bayesian Multiresolution Algorithm for PET Reconstruction. ICIP 2000: 613-616
1990 – 1999
- 1999
- [c17]Blanca L. Andia, Ken D. Sauer, Charles A. Bouman:
Nonlinear, Noniterative Bayesian Tomographic Image Reconstruction. ICIP (2) 1999: 668-671 - 1998
- [j7]Suhail S. Saquib, Charles A. Bouman, Ken D. Sauer:
ML parameter estimation for Markov random fields with applications to Bayesian tomography. IEEE Trans. Image Process. 7(7): 1029-1044 (1998) - 1997
- [c16]Ali Mohammad-Djafari, Yassine Khayi, Ken D. Sauer, Eric Cano:
Reconstruction of the Shape of a Compact Object from Few Projections. ICIP (1) 1997: 165-168 - 1996
- [j6]Ken D. Sauer, Brian Schwartz:
Efficient block motion estimation using integral projections. IEEE Trans. Circuits Syst. Video Technol. 6(5): 513-518 (1996) - [j5]Charles A. Bouman, Ken D. Sauer:
A unified approach to statistical tomography using coordinate descent optimization. IEEE Trans. Image Process. 5(3): 480-492 (1996) - [c15]Suhail S. Saquib, Charles A. Bouman, Ken D. Sauer:
Efficient ML estimation of the shape parameter for generalized Gaussian MRFs. ICASSP 1996: 2227-2230 - [c14]Suhail S. Saquib, Charles A. Bouman, Ken D. Sauer:
A non-homogeneous MRF model for multiresolution Bayesian estimation. ICIP (2) 1996: 445-448 - [c13]Suhail S. Saquib, Jun Zheng, Charles A. Bouman, Ken D. Sauer:
Provably convergent coordinate descent in statistical tomographic reconstruction. ICIP (2) 1996: 741-744 - 1995
- [c12]Charles A. Bouman, Ken D. Sauer, Suhail S. Saquib:
Tractable models and efficient algorithms for Bayesian tomography. ICASSP 1995: 2907-2910 - [c11]Huy Phan, Ken D. Sauer:
Computationally efficient 3-D statistical reconstruction from digitized radiographs. ICIP (3) 1995: 29-32 - [c10]Ken D. Sauer, Sean Borman, Charles A. Bouman:
Parallel computation of sequential pixel updates in statistical tomographic reconstruction. ICIP 1995: 93-96 - 1994
- [c9]Charles A. Bouman, Ken D. Sauer:
Maximum likelihood scale estimation for a class of Markov random fields. ICASSP (5) 1994: 537-540 - [c8]Ken D. Sauer, Charles A. Bouman:
Maximum Likelihood Dosage Estimation for Bayesian Transmission Tomography. ICIP (2) 1994: 844-848 - [c7]Mike Hoffelder, Ken D. Sauer, J. Keith Rigby Jr.:
A Hough Transform Technique for Detection of Rotationally Invariant Surface Features. ICIP (1) 1994: 944-948 - 1993
- [j4]Ken D. Sauer, Coleen Jones:
Bayesian Block-Wise Segmentation of Interframe Differences in Video Sequences. CVGIP Graph. Model. Image Process. 55(2): 129-139 (1993) - [j3]Charles A. Bouman, Ken D. Sauer:
A generalized Gaussian image model for edge-preserving MAP estimation. IEEE Trans. Image Process. 2(3): 296-310 (1993) - [j2]Ken D. Sauer, Charles A. Bouman:
A local update strategy for iterative reconstruction from projections. IEEE Trans. Signal Process. 41(2): 534-548 (1993) - [c6]Catherine Klifa, Ken D. Sauer:
A Bayesian segmentation approach to 3-D tomographic reconstruction from few radiographs. ICASSP (5) 1993: 499-502 - [c5]Brian Schwartz, Ken D. Sauer:
Integral projection methods for block motion estimation. VCIP 1993 - 1991
- [j1]Ken D. Sauer:
Enhancement of low bit-rate coded images using edge detection and estimation. CVGIP Graph. Model. Image Process. 53(1): 52-62 (1991) - [c4]Ken D. Sauer, Charles A. Bouman:
Bayesian estimation from projections with low photon dosages. ICASSP 1991: 2593-2596 - 1990
- [c3]Ken D. Sauer, Bede Liu:
Image reconstruction from a limited number of projections using multiple object detection/estimation. ICASSP 1990: 1861-1864
1980 – 1989
- 1989
- [c2]Ken D. Sauer, Bede Liu:
Nonstationary filtering for removal of signal dependent noise in reconstructions from projections. ICASSP 1989: 1476-1478 - 1986
- [c1]Ken D. Sauer, Jan P. Allebach:
Iterative reconstruction of multidimensional signals from nonuniformly spaced samples. ICASSP 1986: 2487-2490
Coauthor Index
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