24 citations · 59 across the 9 of their papers we have counts for
9 papers
Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation
Hongzhen Tian, Reuven Zev Cohen, Chuck Zhang +1
Multistage sequential decision-making scenarios are commonly seen in the healthcare diagnosis process. In this paper, an active learning-based method is developed to actively colle…
APIK: Active Physics-Informed Kriging Model with Partial Differential Equations
Jialei Chen, Zhehui Chen, Chuck Zhang +1
Kriging (or Gaussian process regression) is a popular machine learning method for its flexibility and closed-form prediction expressions. However, one of the key challenges in appl…
A calibration-free method for biosensing in cell manufacturing
Jialei Chen, Zhaonan Liu, Kan Wang +3
Chimeric antigen receptor T cell therapy has demonstrated innovative therapeutic effectiveness in fighting cancers; however, it is extremely expensive due to the intrinsic patient-…
Additive Tensor Decomposition Considering Structural Data Information
Shancong Mou, Andi Wang, Chuck Zhang +1
Tensor data with rich structural information becomes increasingly important in process modeling, monitoring, and diagnosis. Here structural information is referred to structural pr…
Adaptive design for Gaussian process regression under censoring
Jialei Chen, Simon Mak, V. Roshan Joseph +1
A key objective in engineering problems is to predict an unknown experimental surface over an input domain. In complex physical experiments, this may be hampered by response censor…
Function-on-function kriging, with applications to 3D printing of aortic tissues
Jialei Chen, Simon Mak, V. Roshan Joseph +1
3D-printed medical prototypes, which use synthetic metamaterials to mimic biological tissue, are becoming increasingly important in urgent surgical applications. However, the mimic…
Learning the Treatment Effects on FTIR Signals Subject to Multiple Sources of Uncertainties
Hongzhen Tian, Andi Wang, Jialei Chen +5
Fourier-transform infrared spectroscopy (FTIR) is a versatile technique for characterizing the chemical composition of the various uncertainties, including baseline shift and multi…
Active Image Synthesis for Efficient Labeling
Jialei Chen, Yujia Xie, Kan Wang +4
The great success achieved by deep neural networks attracts increasing attention from the manufacturing and healthcare communities. However, the limited availability of data and hi…
Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation
Jialei Chen, Yujia Xie, Kan Wang +6
Machine learning methods play increasingly important roles in pre-procedural planning for complex surgeries and interventions. Very often, however, researchers find the historical…