| GPU-accelerated back-projection revisited: squeezing performance by careful tuning E Papenhausen, Z Zheng, K Mueller Workshop on High Performance Image Reconstruction 1, 1-4, 2011 | 42 | 2011 |
| Rapid rabbit: Highly optimized GPU accelerated cone-beam CT reconstruction E Papenhausen, K Mueller 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS …, 2013 | 17 | 2013 |
| DQS advisor: a visual interface and knowledge-based system to balance dose, quality, and reconstruction speed in iterative CT reconstruction with application to NLM-regularization Z Zheng, E Papenhausen, K Mueller Physics in Medicine & Biology 58 (21), 7857, 2013 | 15 | 2013 |
| Coding Ants: Optimization of GPU code using ant colony optimization E Papenhausen, K Mueller Computer Languages, Systems & Structures 54, 119-138, 2018 | 12 | 2018 |
| GPU-accelerated incremental correlation clustering of large data with visual feedback E Papenhausen, B Wang, S Ha, A Zelenyuk, D Imre, K Mueller 2013 IEEE International Conference on Big Data, 63-70, 2013 | 11 | 2013 |
| Creating optimal code for GPU‐accelerated CT reconstruction using ant colony optimization E Papenhausen, Z Zheng, K Mueller Medical physics 40 (3), 031110, 2013 | 11 | 2013 |
| Using demographic pattern analysis to predict covid-19 fatalities on the us county level K Mueller, E Papenhausen Digital Government: Research and Practice 2 (1), 1-11, 2020 | 7 | 2020 |
| Polyhedral user mapping and assistant visualizer tool for the r-stream auto-parallelizing compiler E Papenhausen, B Wang, MH Langston, M Baskaran, T Henretty, ... 2015 IEEE 3rd Working Conference on Software Visualization (VISSOFT), 180-184, 2015 | 7 | 2015 |
| An interactive visual tool for code optimization and parallelization based on the polyhedral model E Papenhausen, K Mueller, MH Langston, B Meister, R Lethin 2016 45th International Conference on Parallel Processing Workshops (ICPPW …, 2016 | 5 | 2016 |
| Iterative Cone-Beam CT Reconstruction on GPUs W Xu, Z Zheng, E Papenhausen, S Ha, K Mueller Graphics Processing Unit-Based High Performance Computing in Radiation …, 2018 | 3 | 2018 |
| Progressive clustering of big data with GPU acceleration and visualization J Wang, E Papenhausen, B Wang, S Ha, A Zelenyuk, K Mueller 2017 New York Scientific Data Summit (NYSDS), 1-9, 2017 | 2 | 2017 |
| Searching effective parameters for low-dose CT reconstruction by ant colony optimization Z Zheng, E Papenhausen, K Mueller Int. Conf. Image Formation in X-Ray Computed Tomography, 182-185, 2012 | 2 | 2012 |
| An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development Y Zhang, B Fitzgibbon, D Garofolo, A Kota, E Papenhausen, K Mueller arXiv preprint arXiv:2312.16211, 2023 | 1 | 2023 |
| Patterns of social vulnerability-an interactive dashboard to explore risks to public health on the us county level D Coelho, N Gupta, E Papenhausen, K Mueller 2022 Workshop on Visual Analytics in Healthcare (VAHC), 01-09, 2022 | 1 | 2022 |
| Systems and methods for tensor scheduling BJ Meister, E Papenhausen US Patent 11,372,629, 2022 | 1 | 2022 |
| PUMA-V: An interactive visual tool for code optimization and parallelization based on the polyhedral model E Papenhausen, K Mueller, H Langston, B Meister, R Lethin 2016 New York Scientific Data Summit (NYSDS), 1-4, 2016 | 1 | 2016 |
| Approximate Inverse Chain Preconditioner: Iteration Count Case Study for Spectral Support Solvers MH Langston, PD Letourneau, J Wei, L Weintraub, M Harris, R Lethin, ... 2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2020 | | 2020 |
| PUMA-V: Optimizing Parallel Code Performance Through Interactive Visualization E Papenhausen, MH Langston, B Meister, RA Lethin, K Mueller IEEE Computer Graphics and Applications 39 (1), 84-99, 2019 | | 2019 |
| ◾ Iterative Cone-Beam CT Reconstruction on GPUs: A Computational Perspective XU WEI, Z ZHENG, E PAPENHAUSEN, HA SUNGSOO, K MUELLER Graphics Processing Unit-Based High Performance Computing in Radiation …, 2019 | | 2019 |
| Manual, Automatic, and Semi-Automatic Performance Optimization E Papenhausen State University of New York at Stony Brook, 2017 | | 2017 |
