3 citations · 3 across the 2 of their papers we have counts for
4 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…
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…
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…