A framework for prediction of personalized pediatric nuclear medical dosimetry based on machine learning and Monte Carlo techniques
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A personalized, Monte Carlo-based method for internal dosimetric evaluation of radiopharmaceuticals in children
Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization
HPC+ in the medical field: Overview and current examples
Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography
The OpenGATE ecosystem for Monte Carlo simulation in medical physics.
A deep-learning-based prediction model for the biodistribution of 90Y microspheres in liver radioembolization
A Review on Personalized Pediatric Dosimetry Applications Using Advanced Computational Tools
