Xi Cheng
Cited by
Cited by
Deep similarity learning for multimodal medical images
X Cheng, L Zhang, Y Zheng
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2016
Quantitative elastography provided by surface acoustic waves measured by phase-sensitive optical coherence tomography
C Li, G Guan, X Cheng, Z Huang, RK Wang
Optics letters 37 (4), 722-724, 2012
A unified approach to diffusion direction sensitive slice registration and 3-D DTI reconstruction from moving fetal brain anatomy
M Fogtmann, S Seshamani, C Kroenke, X Cheng, T Chapman, J Wilm, ...
IEEE transactions on medical imaging 33 (2), 272-289, 2013
Deep similarity learning for multimodal medical images
X Cheng, Z Li, Y Zheng
US Patent 9,922,272, 2018
A method for handling intensity inhomogenieties in fMRI sequences of moving anatomy of the early developing brain
S Seshamani, X Cheng, M Fogtmann, ME Thomason, C Studholme
Medical image analysis 18 (2), 285-300, 2014
Cascaded slice to volume registration for moving fetal FMRI
S Seshamani, M Fogtmann, X Cheng, M Thomason, C Gatenby, ...
2013 IEEE 10th International Symposium on Biomedical Imaging, 796-799, 2013
Adapting parcellation schemes to study fetal brain connectivity in serial imaging studies
X Cheng, J Wilm, S Seshamani, M Fogtmann, C Kroenke, C Studholme
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
Combining R2* Maps and Slice Registration for fMRI Analysis of Moving Subjects
S Seshamani, C Gatenby, M Fogtmann, X Cheng, M Dighe, C Studholme
The International Society for Magnetic Resonance in Medicine, 2013
Combining R2* mapping and slice registration for fMRI analysis of moving subjects
S Seshamani, C Gatenby, M Fogtmann, X Cheng, M Dighe, C Studholme
Intl Soc Mag Reson Med 21, 3351, 2013
Principal Component Analysis
X Cheng, M Deng, AH Hormati
US Patent App. 17/816,288, 2023
Explainable artificial intelligence in computing environment
X Cheng, L Yin, LIU Jiashang, AH Hormati, M Deng, CA Meyers
US Patent App. 17/354,392, 2022
Machine Learning Time Series Anomaly Detection
LIU Jiashang, X Cheng, A Hormati, S Weijie
US Patent App. 17/664,865, 2022
Point Anomaly Detection
Z Ye, J Liu, F Elliott, A Hormati, XI Cheng, M Deng
US Patent App. 18/438,717, 2024
Scalable Multivariate Time Series Forecasting in Data Warehouse
H Chen, X Cheng, S Weijie, AH Hormati, H Zheng
US Patent App. 18/385,587, 2024
Point anomaly detection
Z Ye, LIU Jiashang, F Elliott, A Hormati, X Cheng, M Deng
US Patent 11,928,017, 2024
Creating a machine learning model with k-means clustering
M Deng, AH Hormati, X Cheng
US Patent 11,842,291, 2023
Time Series Forecasting
X Cheng, AH Hormati, L Yin, U Syed
US Patent App. 18/323,766, 2023
Machine Learning Super Large-Scale Time-series Forecasting
X Cheng, LIU Jiashang, L Yin, AH Hormati, M Deng, S Weijie, K Yousuf
US Patent App. 17/652,863, 2023
Time series forecasting
X Cheng, AH Hormati, L Yin, U Syed
US Patent 11,693,867, 2023
Anomaly Detection with Local Outlier Factor
X Cheng, Z Ye, P Lin, LIU Jiashang, A Hormati, M Deng
US Patent App. 18/053,738, 2023
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