Digital Twins’ advancements and applications in healthcare, towards Precision Medicine

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Radiomics and Machine Learning for skeletal muscle injury recovery prediction

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Optical to planar X-ray mouse image mapping in preclinical Nuclear Medicine using conditional adversarial networks

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Assessment of physical breast phantoms produced in the PHENOMENO project utilizing three fused filament fabrication approaches

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Design and Evaluation of a Portable Pinhole SPECT System for ¹⁷⁷Lu Imaging: Monte Carlo Simulations and Experimental Study

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A framework for prediction of personalized pediatric nuclear medical dosimetry based on machine learning and Monte Carlo techniques

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Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization

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A personalized, Monte Carlo-based method for internal dosimetric evaluation of radiopharmaceuticals in children

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Size-specific dose estimations for pediatric chest, abdomen/pelvis and head CT scans with the use of GATE

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A Review on Personalized Pediatric Dosimetry Applications Using Advanced Computational Tools

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A deep-learning-based prediction model for the biodistribution of 90Y microspheres in liver radioembolization

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The OpenGATE ecosystem for Monte Carlo simulation in medical physics.

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Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography

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HPC+ in the medical field: Overview and current examples

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A radiomic- and dosiomic-based machine learning regression model for pretreatment planning in 177Lu-DOTATATE therapy

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Dosimetric evaluation of Lu-177 peptide receptor Radionuclide Therapy using GATE and Planet Dose

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