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Deep learning-based quantification of PET/CT prostate gland uptake: association with overall survival.
Clin Physiol Funct Imaging. 2020 Mar;40(2):106-113. doi: 10.1111/cpf.12611. Epub 2019 Dec 20.
Clin Physiol Funct Imaging. 2020.
PMID: 31794112
Free PMC article.
Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG-PET/CT in Hodgkin and non-Hodgkin lymphomas.
Sadik M, Lind E, Polymeri E, Enqvist O, Ulén J, Trägårdh E.
Sadik M, et al. Among authors: polymeri e.
Clin Physiol Funct Imaging. 2019 Jan;39(1):78-84. doi: 10.1111/cpf.12546. Epub 2018 Oct 3.
Clin Physiol Funct Imaging. 2019.
PMID: 30284376
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Artificial intelligence-based measurements of PET/CT imaging biomarkers are associated with disease-specific survival of high-risk prostate cancer patients.
Polymeri E, Kjölhede H, Enqvist O, Ulén J, Poulsen MH, Simonsen JA, Borrelli P, Trägårdh E, Johnsson ÅA, Høilund-Carlsen PF, Edenbrandt L.
Polymeri E, et al.
Scand J Urol. 2021 Dec;55(6):427-433. doi: 10.1080/21681805.2021.1977845. Epub 2021 Sep 25.
Scand J Urol. 2021.
PMID: 34565290
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Artificial Intelligence-Based Organ Delineation for Radiation Treatment Planning of Prostate Cancer on Computed Tomography.
Polymeri E, Johnsson ÅA, Enqvist O, Ulén J, Pettersson N, Nordström F, Kindblom J, Trägårdh E, Edenbrandt L, Kjölhede H.
Polymeri E, et al.
Adv Radiat Oncol. 2023 Oct 14;9(3):101383. doi: 10.1016/j.adro.2023.101383. eCollection 2024 Mar.
Adv Radiat Oncol. 2023.
PMID: 38495038
Free PMC article.
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