Unraveling Biophysical Interactions of Radiation Pneumonitis in Non-Small-Cell Lung Cancer via Bayesian Network Analysis

Lignende værker

• A Multi-Objective Bayesian Networks Approach for Joint Prediction of Tumor Local Control and Radiation Pneumonitis in Non-Small-Cell Lung Cancer (NSCLC) for Response-Adapted Radiotherapy
  af: Luo, Yi, et al.
  Udgivet: (2018)
• Development of a Fully Cross-Validated Bayesian Network Approach for Local Control Prediction in Lung Cancer
  af: Luo, Yi, et al.
  Udgivet: (2018)
• Improved prediction of radiation pneumonitis by combining biological and radiobiological parameters using a data-driven Bayesian network analysis
  af: Tonaye Hinton, et al.
  Udgivet: (2022-07-01)
• A Situational Awareness Bayesian Network Approach for Accurate and Credible Personalized Adaptive Radiotherapy Outcomes Prediction in Lung Cancer Patients
  af: Luo, Yi, et al.
  Udgivet: (2021)
• Priority-driven plan optimization in locally advanced lung patients based on perfusion SPECT imaging
  af: Matuszak, Martha M., et al.
  Udgivet: (2016)