Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Papers: 10.3389/fonc.2020.00490
https://doi.org/10.3389/fonc.2020.00490
Electron Density and Biologically Effective Dose (BED) Radiomics-Based Machine Learning Models to Predict Late Radiation-Induced Subcutaneous Fibrosis
Cited by: 18
Author(s): Michele Avanzo, G. Pirrone, Lorenzo Vinante, Angela Caroli, Joseph Stancanello, A. Drigo, Samuele Massarut, Mario Mileto, Martina Urbani, Marco Trovò, Issam El Naqa, Antonino De Paoli, G. Sartor
Published: over 4 years ago