Uwe Kruger

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 20

Top Topics

Image Registration

Similarity Metric

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

IEEE Trans. Medical Imaging

Int. J. Pattern Recognit. Artif. Intell.

Publications

Xinrui Song, Jiajin Zhang, Pingkun Yan, Juergen Hahn, Uwe Kruger, Hisham Mohamed, Ge Wang
Integrating AI in College Education: Positive yet Mixed Experiences with ChatGPT. CoRR (2024)
Yuanyuan Gao, Pingkun Yan, Uwe Kruger, Lora Cavuoto, Steven D. Schwaitzberg, Suvranu De, Xavier Intes
Functional Brain Imaging Reliably Predicts Bimanual Motor Skill Performance in a Standardized Surgical Task. IEEE Trans. Biomed. Eng. 68 (7) (2021)
Xi Fang, Uwe Kruger, Fatemeh Homayounieh, Hanqing Chao, Jiajin Zhang, Subba R. Digumarthy, Chiara Daniela Arru, Mannudeep K. Kalra, Pingkun Yan
Association of AI quantified COVID-19 chest CT and patient outcome. Int. J. Comput. Assist. Radiol. Surg. 16 (3) (2021)
Erim Yanik, Xavier Intes, Uwe Kruger, Pingkun Yan, David Miller, Brian Van Voorst, Basiel Makled, Jack Norfleet, Suvranu De
Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review. CoRR (2021)
Yiqun Liu, Yiwei He, Shumao Li, Zhenghui Dong, Junping Zhang, Uwe Kruger
An Auto-Adjustable and Time-Consistent Model for Determining Coagulant Dosage Based on Operators' Experience. IEEE Trans. Syst. Man Cybern. Syst. 51 (9) (2021)
Hengtao Guo, Uwe Kruger, Ge Wang, Mannudeep K. Kalra, Pingkun Yan
Knowledge-Based Analysis for Mortality Prediction From CT Images. IEEE J. Biomed. Health Informatics 24 (2) (2020)
Grant Haskins, Uwe Kruger, Pingkun Yan
Deep learning in medical image registration: a survey. Mach. Vis. Appl. 31 (1-2) (2020)
Christopher Wiedeman, Ge Wang, Uwe Kruger
Modeling of moral decisions with deep learning. Vis. Comput. Ind. Biomed. Art 3 (2020)
Jochen Einbeck, Zakiah I. Kalantan, Uwe Kruger
Practical Considerations on Nonparametric Methods for Estimating Intrinsic Dimensions of Nonlinear Data Structures. Int. J. Pattern Recognit. Artif. Intell. 34 (9) (2020)
Grant Haskins, Jochen Kruecker, Uwe Kruger, Sheng Xu, Peter A. Pinto, Bradford J. Wood, Pingkun Yan
Learning deep similarity metric for 3D MR-TRUS image registration. Int. J. Comput. Assist. Radiol. Surg. 14 (3) (2019)
Hengtao Guo, Uwe Kruger, Ge Wang, Mannudeep K. Kalra, Pingkun Yan
Knowledge-based Analysis for Mortality Prediction from CT Images. CoRR (2019)
Hongming Shan, Junping Zhang, Uwe Kruger
Framework of Randomized Distribution Features for Visual Representation and Categorization. IEEE Trans. Cybern. 49 (9) (2019)
Grant Haskins, Uwe Kruger, Pingkun Yan
Deep Learning in Medical Image Registration: A Survey. CoRR (2019)
Hongming Shan, Atul Padole, Fatemeh Homayounieh, Uwe Kruger, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K. Kalra, Ge Wang
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction. Nat. Mach. Intell. 1 (6) (2019)
Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Mannudeep K. Kalra, Ling Sun, Wenxiang Cong, Ge Wang
Correction for "3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network". IEEE Trans. Medical Imaging 37 (12) (2018)
Grant Haskins, Jochen Kruecker, Uwe Kruger, Sheng Xu, Peter A. Pinto, Bradford J. Wood, Pingkun Yan
Learning Deep Similarity Metric for 3D MR-TRUS Registration. CoRR (2018)
Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Mannudeep K. Kalra, Ling Sun, Wenxiang Cong, Ge Wang
3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network. IEEE Trans. Medical Imaging 37 (6) (2018)
Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Wenxiang Cong, Ge Wang
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network. CoRR (2018)
Daniel Howsmon, Uwe Kruger, Stepan Melnyk, S. Jill James, Juergen Hahn
Classification and adaptive behavior prediction of children with autism spectrum disorder based upon multivariate data analysis of markers of oxidative stress and DNA methylation. PLoS Comput. Biol. 13 (3) (2017)
Zhe Li, Uwe Kruger, Lei Xie, Ali Almansoori, Hongye Su
Adaptive KPCA Modeling of Nonlinear Systems. IEEE Trans. Signal Process. 63 (9) (2015)
Jiusun Zeng, Uwe Kruger, Jaap Geluk, Xun Wang, Lei Xie
Detecting abnormal situations using the Kullback-Leibler divergence. Autom. 50 (11) (2014)
David Antory, George W. Irwin, Uwe Kruger, Geoffrey McCullough
Improved process monitoring using nonlinear principal component models. Int. J. Intell. Syst. 23 (5) (2008)
Xun Wang, Uwe Kruger, George W. Irwin, Geoffrey McCullough, Neil McDowell
Nonlinear PCA With the Local Approach for Diesel Engine Fault Detection and Diagnosis. IEEE Trans. Control. Syst. Technol. 16 (1) (2008)
Alison McArdle, Uwe Kruger, Tim Littler, Juergen Hahn
Analysis of IL6 Signal Transduction Model using Reduced Rank Regression. CCA (2007)
Uwe Kruger, Sukhbinder Kumar, Tim Littler
Improved principal component monitoring using the local approach. Autom. 43 (9) (2007)
Dirk Lieftucht, Uwe Kruger, George W. Irwin
Improved reliability in diagnosing faults using multivariate statistics. Comput. Chem. Eng. 30 (5) (2006)
David Antory, Uwe Kruger, Tim Littler
A New Principal Curve Algorithm for Nonlinear Principal Component Analysis. ICIC (1) (2006)
Lei Xie, Uwe Kruger
Statistical Processes Monitoring Based on Improved ICA and SVDD. ICIC (1) (2006)
Pingkang Li, Uwe Kruger, George W. Irwin
Identification of dynamic systems under closed-loop control. Int. J. Syst. Sci. 37 (3) (2006)
Srinivasan Rajaraman, Uwe Kruger, M. Sam Mannan, Juergen Hahn
A New Sensor Fault Diagnosis Technique Based Upon Subspace Identification and Residual Filtering. ICIC (2) (2006)
Pingkang Li, George W. Irwin, Uwe Kruger
A recursive rule base adjustment algorithm for a fuzzy logic controller. Fuzzy Sets Syst. 156 (2) (2005)
Qian Chen, Uwe Kruger
Analysis of extended partial least squares for monitoring large-scale processes. IEEE Trans. Control. Syst. Technol. 13 (5) (2005)
Pingkang Li, Richard J. Treasure, Uwe Kruger
Dynamic Principal Component Analysis Using Subspace Model Identification. ICIC (1) (2005)
Dirk Lieftucht, Uwe Kruger, George W. Irwin
Compensation terms to improve fault detection in multivariate auto-correlated processes. CDC/ECC (2005)
Uwe Kruger, David Antory, Juergen Hahn, George W. Irwin, Geoffrey McCullough
Introduction of a nonlinearity measure for principal component models. Comput. Chem. Eng. 29 (11-12) (2005)
Q. Chen, D. Sandoz, R. J. Wynne, Uwe Kruger
Improved kernel density estimation for clustered data using regularisation and deconvolution. ACC (2000)