Conjugated Photosensitizers for Imaging and PDT in Cancer Research
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A Review on Personalized Pediatric Dosimetry Applications Using Advanced Computational Tools
A deep-learning-based prediction model for the biodistribution of 90Y microspheres in liver radioembolization
The OpenGATE ecosystem for Monte Carlo simulation in medical physics.
Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography
HPC+ in the medical field: Overview and current examples
Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization
A personalized, Monte Carlo-based method for internal dosimetric evaluation of radiopharmaceuticals in children
A framework for prediction of personalized pediatric nuclear medical dosimetry based on machine learning and Monte Carlo techniques
Size-specific dose estimations for pediatric chest, abdomen/pelvis and head CT scans with the use of GATE
