Digital Twins’ advancements and applications in healthcare, towards Precision Medicine
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Radiomics and Machine Learning for skeletal muscle injury recovery prediction
Optical to planar X-ray mouse image mapping in preclinical Nuclear Medicine using conditional adversarial networks
Assessment of physical breast phantoms produced in the PHENOMENO project utilizing three fused filament fabrication approaches
Design and Evaluation of a Portable Pinhole SPECT System for ¹⁷⁷Lu Imaging: Monte Carlo Simulations and Experimental Study
A framework for prediction of personalized pediatric nuclear medical dosimetry based on machine learning and Monte Carlo techniques
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
Size-specific dose estimations for pediatric chest, abdomen/pelvis and head CT scans with the use of GATE
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
A radiomic- and dosiomic-based machine learning regression model for pretreatment planning in 177Lu-DOTATATE therapy
Dosimetric evaluation of Lu-177 peptide receptor Radionuclide Therapy using GATE and Planet Dose
