| 2022 | ICIP | A Noise Preserving Sharpening Filter for CT Image Enhancement. | Madhuri Nagare, Jie Tang, Obaidullah Rahman, Brian Nett, Roman Melnyk, Ken D. Sauer, Charles A. Bouman |
| 2021 | ICASSP | A Bias-Reducing Loss Function for CT Image Denoising. | Madhuri Nagare, Roman Melnyk, Obaidullah Rahman, Ken D. Sauer, Charles A. Bouman |
| 2018 | ACSSC | 2.5D Deep Learning For CT Image Reconstruction Using A Multi-GPU Implementation. | Amirkoushyar Ziabari, Dong Hye Ye, Somesh Srivastava, Ken D. Sauer, Jean-Baptiste Thibault, Charles A. Bouman |
| 2018 | ICASSP | Deep Residual Learning for Model-Based Iterative CT Reconstruction Using Plug-and-Play Framework. | Dong Hye Ye, Somesh Srivastava, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman |
| 2008 | ACSSC | System modeling studies in iterative X-ray CT reconstruction. | Jiao Wang, Jean-Baptiste Thibault, Zhou Yu, Ken D. Sauer, Charles A. Bouman |
| 2000 | ICIP | Bayesian Multiresolution Algorithm for PET Reconstruction. | Thomas Frese, Charles A. Bouman, Ned C. Rouze, Gary D. Hutchins, Ken D. Sauer |
| 1999 | ICIP | Nonlinear, Noniterative Bayesian Tomographic Image Reconstruction. | Blanca L. Andia, Ken D. Sauer, Charles A. Bouman |
| 1997 | ICIP | Reconstruction of the Shape of a Compact Object from Few Projections. | Ali Mohammad-Djafari, Yassine Khayi, Ken D. Sauer, Eric Cano |
| 1996 | ICASSP | Efficient ML estimation of the shape parameter for generalized Gaussian MRFs. | Suhail S. Saquib, Charles A. Bouman, Ken D. Sauer |
| 1996 | ICIP | A non-homogeneous MRF model for multiresolution Bayesian estimation. | Suhail S. Saquib, Charles A. Bouman, Ken D. Sauer |
| 1996 | ICIP | Provably convergent coordinate descent in statistical tomographic reconstruction. | Suhail S. Saquib, Jun Zheng, Charles A. Bouman, Ken D. Sauer |
| 1995 | ICASSP | Tractable models and efficient algorithms for Bayesian tomography. | Charles A. Bouman, Ken D. Sauer, Suhail S. Saquib |
| 1995 | ICIP | Computationally efficient 3-D statistical reconstruction from digitized radiographs. | Huy Phan, Ken D. Sauer |
| 1995 | ICIP | Parallel computation of sequential pixel updates in statistical tomographic reconstruction. | Ken D. Sauer, Sean Borman, Charles A. Bouman |
| 1994 | ICASSP | Maximum likelihood scale estimation for a class of Markov random fields. | Charles A. Bouman, Ken D. Sauer |
| 1994 | ICIP | A Hough Transform Technique for Detection of Rotationally Invariant Surface Features. | Mike Hoffelder, Ken D. Sauer, J. Keith Rigby Jr. |
| 1994 | ICIP | Maximum Likelihood Dosage Estimation for Bayesian Transmission Tomography. | Ken D. Sauer, Charles A. Bouman |
| 1993 | ICASSP | A Bayesian segmentation approach to 3-D tomographic reconstruction from few radiographs. | Catherine Klifa, Ken D. Sauer |
| 1993 | VCIP | Integral projection methods for block motion estimation. | Brian Schwartz, Ken D. Sauer |
| 1991 | ICASSP | Bayesian estimation from projections with low photon dosages. | Ken D. Sauer, Charles A. Bouman |
| 1990 | ICASSP | Image reconstruction from a limited number of projections using multiple object detection/estimation. | Ken D. Sauer, Bede Liu |
| 1989 | ICASSP | Nonstationary filtering for removal of signal dependent noise in reconstructions from projections. | Ken D. Sauer, Bede Liu |
| 1986 | ICASSP | Iterative reconstruction of multidimensional signals from nonuniformly spaced samples. | Ken D. Sauer, Jan P. Allebach |