Uwe Krüger

According to our database, Uwe Krüger authored at least 47 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Integrating AI in College Education: Positive yet Mixed Experiences with ChatGPT.

Xinrui Song, Jiajin Zhang, Pingkun Yan, Juergen Hahn, Uwe Kruger, Hisham Mohamed, Ge Wang

CoRR, 2024

2022

Video-based Formative and Summative Assessment of Surgical Tasks using Deep Learning.

Erim Yanik, Uwe Krüger, Xavier Intes, Rahul Rahul, Suvranu De

CoRR, 2022

2021

An Auto-Adjustable and Time-Consistent Model for Determining Coagulant Dosage Based on Operators' Experience.

Yiqun Liu, Yiwei He, Shumao Li, Zhenghui Dong, Junping Zhang, Uwe Kruger

IEEE Trans. Syst. Man Cybern. Syst., 2021

Functional Brain Imaging Reliably Predicts Bimanual Motor Skill Performance in a Standardized Surgical Task.

Yuanyuan Gao, Pingkun Yan, Uwe Kruger, Lora Cavuoto, Steven D. Schwaitzberg, Suvranu De, Xavier Intes

IEEE Trans. Biomed. Eng., 2021

Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review.

Erim Yanik, Xavier Intes, Uwe Kruger, Pingkun Yan, David Miller, Brian Van Voorst, Basiel Makled, Jack Norfleet, Suvranu De

CoRR, 2021

Association of AI quantified COVID-19 chest CT and patient outcome.

Xi Fang, Uwe Kruger, Fatemeh Homayounieh, Hanqing Chao, Jiajin Zhang, Subba R. Digumarthy, Chiara Daniela Arru, Mannudeep K. Kalra, Pingkun Yan

Int. J. Comput. Assist. Radiol. Surg., 2021

2020

Modeling of moral decisions with deep learning.

Christopher Wiedeman, Ge Wang, Uwe Kruger

Vis. Comput. Ind. Biomed. Art, 2020

Knowledge-Based Analysis for Mortality Prediction From CT Images.

Hengtao Guo, Uwe Kruger, Ge Wang, Mannudeep K. Kalra, Pingkun Yan

IEEE J. Biomed. Health Informatics, 2020

Deep learning in medical image registration: a survey.

Grant Haskins, Uwe Kruger, Pingkun Yan

Mach. Vis. Appl., 2020

Practical Considerations on Nonparametric Methods for Estimating Intrinsic Dimensions of Nonlinear Data Structures.

Jochen Einbeck, Zakiah I. Kalantan, Uwe Kruger

Int. J. Pattern Recognit. Artif. Intell., 2020

2019

Framework of Randomized Distribution Features for Visual Representation and Categorization.

Hongming Shan, Junping Zhang, Uwe Kruger

IEEE Trans. Cybern., 2019

Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction.

Hongming Shan, Atul Padole, Fatemeh Homayounieh, Uwe Kruger, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K. Kalra, Ge Wang

Nat. Mach. Intell., 2019

Learning deep similarity metric for 3D MR-TRUS image registration.

Grant Haskins, Jochen Kruecker, Uwe Kruger, Sheng Xu, Peter A. Pinto, Bradford J. Wood, Pingkun Yan

Int. J. Comput. Assist. Radiol. Surg., 2019

2018

Correction for "3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network".

Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Mannudeep K. Kalra, Ling Sun, Wenxiang Cong, Ge Wang

IEEE Trans. Medical Imaging, 2018

3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network.

Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Mannudeep K. Kalra, Ling Sun, Wenxiang Cong, Ge Wang

IEEE Trans. Medical Imaging, 2018

Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?

Hongming Shan, Atul Padole, Fatemeh Homayounieh, Uwe Krüger, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K. Kalra, Ge Wang

CoRR, 2018

Learning Deep Similarity Metric for 3D MR-TRUS Registration.

Grant Haskins, Jochen Kruecker, Uwe Kruger, Sheng Xu, Peter A. Pinto, Bradford J. Wood, Pingkun Yan

CoRR, 2018

3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network.

Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Wenxiang Cong, Ge Wang

CoRR, 2018

2017

Classification and adaptive behavior prediction of children with autism spectrum disorder based upon multivariate data analysis of markers of oxidative stress and DNA methylation.

Daniel Howsmon, Uwe Kruger, Stepan Melnyk, S. Jill James, Juergen Hahn

PLoS Comput. Biol., 2017

2016

Learning Linear Representation of Space Partitioning Trees Based on Unsupervised Kernel Dimension Reduction.

Hongming Shan, Junping Zhang, Uwe Krüger

IEEE Trans. Cybern., 2016

2015

Adaptive KPCA Modeling of Nonlinear Systems.

Zhe Li, Uwe Kruger, Lei Xie, Ali Almansoori, Hongye Su

IEEE Trans. Signal Process., 2015

Semisupervised Pedestrian Counting With Temporal and Spatial Consistencies.

Wei Xia, Junping Zhang, Uwe Krüger

IEEE Trans. Intell. Transp. Syst., 2015

Seasonal Analysis and Prediction of Wind Energy Using Random Forests and ARX Model Structures.

Yujie Lin, Uwe Krüger, Junping Zhang, Qi Wang, Lisa Ann Lamont, Lana El Chaar

IEEE Trans. Control. Syst. Technol., 2015

2014

Detecting abnormal situations using the Kullback-Leibler divergence.

Jiusun Zeng, Uwe Kruger, Jaap Geluk, Xun Wang, Lei Xie

Autom., 2014

2013

Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment.

Billy Chang, Uwe Krüger, Rafal Kustra, Junping Zhang

Proceedings of the 30th International Conference on Machine Learning, 2013

Process monitoring based on Kullback Leibler divergence.

Jiusun Zeng, Lei Xie, Uwe Krüger, Jie Yu, Jingjing Sha, Xuyi Fu

Proceedings of the 12th European Control Conference, 2013

2011

Principal Curve Algorithms for Partitioning High-Dimensional Data Spaces.

Junping Zhang, Xiaodan Wang, Uwe Krüger, Fei-Yue Wang

IEEE Trans. Neural Networks, 2011

2010

A Riemannian Distance Approach for Constructing Principal Curves.

Junping Zhang, Uwe Krüger, Xiaodan Wang, Dewang Chen

Int. J. Neural Syst., 2010

2008

Adaptive Constraint K-Segment Principal Curves for Intelligent Transportation Systems.

Junping Zhang, Dewang Chen, Uwe Krüger

IEEE Trans. Intell. Transp. Syst., 2008

Nonlinear PCA With the Local Approach for Diesel Engine Fault Detection and Diagnosis.

Xun Wang, Uwe Kruger, George W. Irwin, Geoffrey McCullough, Neil McDowell

IEEE Trans. Control. Syst. Technol., 2008

Improved process monitoring using nonlinear principal component models.

David Antory, George W. Irwin, Uwe Kruger, Geoffrey McCullough

Int. J. Intell. Syst., 2008

2007

Improved principal component monitoring using the local approach.

Uwe Kruger, Sukhbinder Kumar, Tim Littler

Autom., 2007

Analysis of IL6 Signal Transduction Model using Reduced Rank Regression.

Alison McArdle, Uwe Kruger, Tim Littler, Juergen Hahn

Proceedings of the IEEE International Conference on Control Applications, 2007

2006

Identification of dynamic systems under closed-loop control.

Pingkang Li, Uwe Kruger, George W. Irwin

Int. J. Syst. Sci., 2006

Improved reliability in diagnosing faults using multivariate statistics.

Dirk Lieftucht, Uwe Kruger, George W. Irwin

Comput. Chem. Eng., 2006

Statistical Processes Monitoring Based on Improved ICA and SVDD.

Lei Xie, Uwe Kruger

Proceedings of the Intelligent Computing, 2006

A New Sensor Fault Diagnosis Technique Based Upon Subspace Identification and Residual Filtering.

Srinivasan Rajaraman, Uwe Kruger, M. Sam Mannan, Juergen Hahn

Proceedings of the Computational Intelligence, 2006

A New Principal Curve Algorithm for Nonlinear Principal Component Analysis.

David Antory, Uwe Kruger, Tim Littler

Proceedings of the Intelligent Computing, 2006

2005

Analysis of extended partial least squares for monitoring large-scale processes.

Qian Chen, Uwe Kruger

IEEE Trans. Control. Syst. Technol., 2005

A recursive rule base adjustment algorithm for a fuzzy logic controller.

Pingkang Li, George W. Irwin, Uwe Kruger

Fuzzy Sets Syst., 2005

Introduction of a nonlinearity measure for principal component models.

Uwe Kruger, David Antory, Juergen Hahn, George W. Irwin, Geoffrey McCullough

Comput. Chem. Eng., 2005

Dynamic Principal Component Analysis Using Subspace Model Identification.

Pingkang Li, Richard J. Treasure, Uwe Kruger

Proceedings of the Advances in Intelligent Computing, 2005

Compensation terms to improve fault detection in multivariate auto-correlated processes.

Dirk Lieftucht, Uwe Kruger, George W. Irwin

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004

Improved diagnosis of sensor faults using multivariate statistics.

Dirk Lieftucht, Uwe Krüger, George W. Irwin

Proceedings of the 2004 American Control Conference, 2004

2001

A novel multiblock method using latent variable partial least squares.

Xun Wang, Uwe Krüger, Barry Lennox, Peter R. Goulding

Proceedings of the American Control Conference, 2001

An alternative PLS algorithm for the monitoring of industrial process.

Uwe Kruger, X. Wang, Q. Chen, S. Joe Qin

Proceedings of the American Control Conference, 2001

2000

Improved kernel density estimation for clustered data using regularisation and deconvolution.

Q. Chen, D. Sandoz, R. J. Wynne, Uwe Kruger

Proceedings of the American Control Conference, 2000