(PDF) PBPK-Adapted Deep Learning for Pre-Therapy Prediction of Voxel-Wise Dosimetry: In-Silico Proof-of-Concept

Home 4 4 updates Questions Jobs 2 1 Add new Article Full-text available PBPK-Adapted Deep Learning for Pre-Therapy Prediction of Voxel-Wise Dosimetry: In-Silico Proof-of-Concept January 2024IEEE Transactions on Radiation and Plasma Medical Sciences PP(99):1-1 DOI: 10.1109/TRPMS.2024.3381849 LicenseCC BY 4.0 Mohamed KassarMilos DrobnjakovicGabriele BirindelliShow all 13 authorsKuangyu Shi Research Interest Score 2.5 Citations 0 Recommendations 2 Reads 62 Learn about stats on ResearchGate Overview Stats Comments Citations References (56) Download Share More Recommend Recommend this work Follow Get updates Share Share in a message Abstract and figures Pre-therapy dosimetry prediction is a prerequisite for treatment planning and personalized optimization of the emerging radiopharmaceutical therapy (RPT). Physiologically based pharmacokinetic (PBPK) model, describing the intrinsic pharmacokinetics of radiopharmaceuticals, have been proposed for pre-therapy prediction of dosimetry. However,

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