Silvia Rocchiccioli
  According to our database1,
  Silvia Rocchiccioli
  authored at least 9 papers
  between 2018 and 2023.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2023
Graph-guided Gaussian Process-based Diagnosis of CVD Severity with Uncertainty Measures.
    
  
    Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
    
  
  2021
A proof-of-concept study for the prediction of the de-novo atherosclerotic plaque development using finite elements<sup>*</sup>.
    
  
    Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
    
  
  2020
    Enterp. Inf. Syst., 2020
    
  
Site specific prediction of PCI stenting based on imaging and biomechanics data using gradient boosting tree ensembles.
    
  
    Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
    
  
  2019
The effect of error propagation in the 3D reconstruction of coronary segments using CTCA images on crucial hemodynamic parameters.
    
  
    Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
    
  
Predictive Models of Coronary Artery Disease Based on Computational Modeling: The SMARTool System.
    
  
    Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
    
  
A computational multi-level atherosclerotic plaque growth model for coronary arteries.
    
  
    Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
    
  
  2018
A Clinical Decision Support Platform for the Risk Stratification, Diagnosis, and Prediction of Coronary Artery Disease Evolution.
    
  
    Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
    
  
A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data.
    
  
    Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018