Improved kernel density estimation for clustered data using regularisation and deconvolution. - Q. Chen; D. Sandoz; R. J. Wynne; Uwe Kruger 001 (ACC, 2000)

An alternative PLS algorithm for the monitoring of industrial process. - Uwe Kruger 001; X. Wang; Q. Chen; S. Joe Qin (ACC, 2001)

A novel multiblock method using latent variable partial least squares. - Xun Wang; Uwe Krüger 001; Barry Lennox; Peter R. Goulding (ACC, 2001)

Improved diagnosis of sensor faults using multivariate statistics. - Dirk Lieftucht; Uwe Krüger 001; George W. Irwin (ACC, 2004)

Compensation terms to improve fault detection in multivariate auto-correlated processes. - Dirk Lieftucht; Uwe Kruger 001; George W. Irwin (CDC/ECC, 2005)

Dynamic Principal Component Analysis Using Subspace Model Identification. - Pingkang Li; Richard J. Treasure; Uwe Kruger 001 (ICIC (1), 2005)

Introduction of a nonlinearity measure for principal component models. - Uwe Kruger 001; David Antory; Juergen Hahn; George W. Irwin; Geoffrey McCullough (Comput. Chem. Eng., 2005)

A recursive rule base adjustment algorithm for a fuzzy logic controller. - Pingkang Li; George W. Irwin; Uwe Kruger 001 (Fuzzy Sets Syst., 2005)

Analysis of extended partial least squares for monitoring large-scale processes. - Qian Chen; Uwe Kruger 001 (IEEE Trans. Control. Syst. Technol., 2005)

A New Principal Curve Algorithm for Nonlinear Principal Component Analysis. - David Antory; Uwe Kruger 001; Tim Littler (ICIC (1), 2006)

A New Sensor Fault Diagnosis Technique Based Upon Subspace Identification and Residual Filtering. - Srinivasan Rajaraman; Uwe Kruger 001; M. Sam Mannan; Juergen Hahn (ICIC (2), 2006)

Statistical Processes Monitoring Based on Improved ICA and SVDD. - Lei Xie 007; Uwe Kruger 001 (ICIC (1), 2006)

Improved reliability in diagnosing faults using multivariate statistics. - Dirk Lieftucht; Uwe Kruger 001; George W. Irwin (Comput. Chem. Eng., 2006)

Identification of dynamic systems under closed-loop control. - Pingkang Li; Uwe Kruger 001; George W. Irwin (Int. J. Syst. Sci., 2006)

Analysis of IL6 Signal Transduction Model using Reduced Rank Regression. - Alison McArdle; Uwe Kruger 001; Tim Littler; Juergen Hahn (CCA, 2007)

Improved principal component monitoring using the local approach. - Uwe Kruger 001; Sukhbinder Kumar; Tim Littler (Autom., 2007)

Improved process monitoring using nonlinear principal component models. - David Antory; George W. Irwin; Uwe Kruger 001; Geoffrey McCullough (Int. J. Intell. Syst., 2008)

Nonlinear PCA With the Local Approach for Diesel Engine Fault Detection and Diagnosis. - Xun Wang; Uwe Kruger 001; George W. Irwin; Geoffrey McCullough; Neil McDowell (IEEE Trans. Control. Syst. Technol., 2008)

Adaptive Constraint K-Segment Principal Curves for Intelligent Transportation Systems. - Junping Zhang; Dewang Chen; Uwe Krüger 001 (IEEE Trans. Intell. Transp. Syst., 2008)

A Riemannian Distance Approach for Constructing Principal Curves. - Junping Zhang; Uwe Krüger 001; Xiaodan Wang; Dewang Chen (Int. J. Neural Syst., 2010)

Principal Curve Algorithms for Partitioning High-Dimensional Data Spaces. - Junping Zhang; Xiaodan Wang; Uwe Krüger 001; Fei-Yue Wang 001 (IEEE Trans. Neural Networks, 2011)

Process monitoring based on Kullback Leibler divergence. - Jiusun Zeng; Lei Xie 007; Uwe Krüger 001; Jie Yu 028; Jingjing Sha; Xuyi Fu (ECC, 2013)

Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment. - Billy Chang; Uwe Krüger 001; Rafal Kustra; Junping Zhang (ICML (2), 2013)

Detecting abnormal situations using the Kullback-Leibler divergence. - Jiusun Zeng; Uwe Kruger 001; Jaap Geluk; Xun Wang; Lei Xie 007 (Autom., 2014)

Seasonal Analysis and Prediction of Wind Energy Using Random Forests and ARX Model Structures. - Yujie Lin; Uwe Krüger 001; Junping Zhang; Qi Wang; Lisa Ann Lamont; Lana El Chaar (IEEE Trans. Control. Syst. Technol., 2015)

Semisupervised Pedestrian Counting With Temporal and Spatial Consistencies. - Wei Xia; Junping Zhang; Uwe Krüger 001 (IEEE Trans. Intell. Transp. Syst., 2015)

Adaptive KPCA Modeling of Nonlinear Systems. - Zhe Li; Uwe Kruger 001; Lei Xie 007; Ali Almansoori; Hongye Su (IEEE Trans. Signal Process., 2015)

Learning Linear Representation of Space Partitioning Trees Based on Unsupervised Kernel Dimension Reduction. - Hongming Shan; Junping Zhang; Uwe Krüger 001 (IEEE Trans. Cybern., 2016)

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 001; Stepan Melnyk; S. Jill James; Juergen Hahn (PLoS Comput. Biol., 2017)

3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network. - Hongming Shan; Yi Zhang 018; Qingsong Yang; Uwe Kruger 001; Wenxiang Cong; Ge Wang 001 (CoRR, 2018)

Learning Deep Similarity Metric for 3D MR-TRUS Registration. - Grant Haskins; Jochen Kruecker; Uwe Kruger 001; Sheng Xu 001; Peter A. Pinto; Bradford J. Wood; Pingkun Yan (CoRR, 2018)

Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods? - Hongming Shan; Atul Padole; Fatemeh Homayounieh; Uwe Krüger 001; Ruhani Doda Khera; Chayanin Nitiwarangkul; Mannudeep K. Kalra; Ge Wang 001 (CoRR, 2018)

3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network. - Hongming Shan; Yi Zhang 018; Qingsong Yang; Uwe Kruger 001; Mannudeep K. Kalra; Ling Sun 006; Wenxiang Cong; Ge Wang 001 (IEEE Trans. Medical Imaging, 2018)

Correction for "3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network". - Hongming Shan; Yi Zhang 018; Qingsong Yang; Uwe Kruger 001; Mannudeep K. Kalra; Ling Sun 006; Wenxiang Cong; Ge Wang 001 (IEEE Trans. Medical Imaging, 2018)

Learning deep similarity metric for 3D MR-TRUS image registration. - Grant Haskins; Jochen Kruecker; Uwe Kruger 001; Sheng Xu 001; Peter A. Pinto; Bradford J. Wood; Pingkun Yan (Int. J. Comput. Assist. Radiol. Surg., 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 001; Ruhani Doda Khera; Chayanin Nitiwarangkul; Mannudeep K. Kalra; Ge Wang 001 (Nat. Mach. Intell., 2019)

Framework of Randomized Distribution Features for Visual Representation and Categorization. - Hongming Shan; Junping Zhang; Uwe Kruger 001 (IEEE Trans. Cybern., 2019)

Practical Considerations on Nonparametric Methods for Estimating Intrinsic Dimensions of Nonlinear Data Structures. - Jochen Einbeck; Zakiah I. Kalantan; Uwe Kruger 001 (Int. J. Pattern Recognit. Artif. Intell., 2020)

Deep learning in medical image registration: a survey. - Grant Haskins; Uwe Kruger 001; Pingkun Yan (Mach. Vis. Appl., 2020)

Knowledge-Based Analysis for Mortality Prediction From CT Images. - Hengtao Guo; Uwe Kruger 001; Ge Wang 001; Mannudeep K. Kalra; Pingkun Yan (IEEE J. Biomed. Health Informatics, 2020)

Modeling of moral decisions with deep learning. - Christopher Wiedeman; Ge Wang 001; Uwe Kruger 001 (Vis. Comput. Ind. Biomed. Art, 2020)

Association of AI quantified COVID-19 chest CT and patient outcome. - Xi Fang 002; Uwe Kruger 001; Fatemeh Homayounieh; Hanqing Chao; Jiajin Zhang; Subba R. Digumarthy; Chiara Daniela Arru; Mannudeep K. Kalra; Pingkun Yan (Int. J. Comput. Assist. Radiol. Surg., 2021)

Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review. - Erim Yanik; Xavier Intes; Uwe Kruger 001; Pingkun Yan; David Miller; Brian Van Voorst; Basiel Makled; Jack Norfleet; Suvranu De (CoRR, 2021)

Functional Brain Imaging Reliably Predicts Bimanual Motor Skill Performance in a Standardized Surgical Task. - Yuanyuan Gao; Pingkun Yan; Uwe Kruger 001; Lora Cavuoto; Steven D. Schwaitzberg; Suvranu De; Xavier Intes (IEEE Trans. Biomed. Eng., 2021)

An Auto-Adjustable and Time-Consistent Model for Determining Coagulant Dosage Based on Operators' Experience. - Yiqun Liu 009; Yiwei He; Shumao Li; Zhenghui Dong; Junping Zhang; Uwe Kruger 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Video-based Formative and Summative Assessment of Surgical Tasks using Deep Learning. - Erim Yanik; Uwe Krüger 001; Xavier Intes; Rahul Rahul; Suvranu De (CoRR, 2022)

Integrating AI in College Education: Positive yet Mixed Experiences with ChatGPT. - Xinrui Song; Jiajin Zhang; Pingkun Yan; Juergen Hahn; Uwe Kruger 001; Hisham Mohamed 002; Ge Wang 001 (CoRR, 2024)

Dynamic directed functional connectivity as a neural biomarker for objective motor skill assessment. - Anil Kamat; Rahul Rahul; Anirban Dutta; Lora Cavuoto; Uwe Krüger 001; Harry Burke; Matthew Hackett; Jack Norfleet; Steven D. Schwaitzberg; Suvranu De (CoRR, 2025)