Application of Luminescence Techniques in Retrospective Dosimetry
L. Bøtter-Jensen, H. Jungner
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New possibility of retrospective EPR dosimetry [PDF]
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Artificial intelligence across oncologic theranostics: evidence for patient stratification, dosimetry, and adaptive radiopharmaceutical therapy. [PDF]
Banala M, Ezuddin S, Foley M, Kuker R.
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FDG/PSMA discordance in [<sup>177</sup>Lu]Lu-PSMA radioligand therapy for mCRPC: a provisional target-sufficiency framework. [PDF]
Deng J, Ma G, Chen W, Wen S, Chen N.
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Advances in Transarterial Radionuclide Therapy for Hepatocellular Carcinoma and Other Liver Tumors: From Yttrium-90 Radioembolization to Emerging Lipiodol-Based Theranostic Approaches. [PDF]
Kono Y +3 more
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Virtual-patient nonlinear mixed-effects modelling for data-driven optimisation of single-time-point dosimetry: a proof-of-concept study in [<sup>177</sup>Lu]Lu-PSMA-617 therapy. [PDF]
Pertiwi Y +7 more
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Natural language processing-based model to predict radiation pneumonitis in patients with locally advanced non-small cell lung cancer undergoing chemoradiotherapy: a retrospective cohort study. [PDF]
Bloom JR +21 more
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Dose-Response and survival analysis after transarterial radioembolization for intrahepatic cholangiocarcinoma: A multicenter multicompartment dosimetry study. [PDF]
Soydal C +38 more
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Artificial Intelligence in Nuclear Medicine (2015-2025): Clinical Applications, Regulatory Governance, and Pharmacotherapeutic Implications. [PDF]
Alpizar-Rojas M +6 more
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Artificial intelligence-assisted photodynamic diagnosis and photodynamic therapy against cancer. [PDF]
Huang J, Law SK, Leung AWN, Xu C.
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