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Number of items: 5.
Journal article
Xue, Song; Gafita, Andrei; Dong, Chao; Zhao, Yu; Tetteh, Giles; Menze, Bjoern H.; Ziegler, Sibylle; Weber, Wolfgang; Afshar-Oromieh, Ali; Rominger, Axel; Eiber, Matthias und Shi, Kuangyu
(2022):
Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with Lu-177-PSMA I&T therapy.
In: European Journal of Nuclear Medicine and Molecular Imaging, Vol. 49, No. 12: pp. 4064-4072
Zhao, Yu; Gafita, Andrei; Vollnberg, Bernd; Tetteh, Giles; Haupt, Fabian; Afshar-Oromieh, Ali; Menze, Björn; Eiber, Matthias; Rominger, Axel und Shi, Kuangyu
(2020):
Deep neural network for automatic characterization of lesions on Ga-68-PSMA-11 PET/CT.
In: European Journal of Nuclear Medicine and Molecular Imaging, Vol. 47, No. 3: pp. 603-613
Farolfi, Andrea; Ilhan, Harun; Gafita, Andrei; Calais, Jeremie; Barbato, Francesco; Weber, Manuel; Afshar-Oromieh, Ali; Spohn, Fabian; Wetter, Axel; Rischpler, Christoph; Hadaschik, Boris; Pianori, Davide; Fanti, Stefano; Haberkorn, Uwe; Eiber, Matthias; Herrmann, Ken und Fendler, Wolfgang Peter
(2020):
Mapping Prostate Cancer Lesions Before and After Unsuccessful Salvage Lymph Node Dissection Using Repeat PSMA PET.
In: Journal of Nuclear Medicine, Vol. 61, No. 7: pp. 1037-1042
Farolfi, Andrea; Gafita, Andrei; Calais, Jeremie; Eiber, Matthias; Afshar-Oromieh, Ali; Spohn, Fabian; Barbato, Francesco; Weber, Manuel; Ilhan, Harun; Cervati, Veronica; Wetter, Axel; Hadaschik, Boris; Briganti, Alberto; Walz, Jochen; Pianori, Davide; Fanti, Stefano; Haberkorn, Uwe; Herrmann, Ken und Fendler, Wolfgang Peter
(2019):
Ga-68-PSMA-11 Positron Emission Tomography Detects Residual Prostate Cancer after Prostatectomy in a Multicenter Retrospective Study.
In: Journal of Urology, Vol. 202, No. 6: pp. 1174-1180
Debus, Charlotte; Afshar-Oromieh, Ali; Floca, Ralf; Ingrisch, Michael 
ORCID: https://orcid.org/0000-0003-0268-9078; Knoll, Maximilian; Debus, Jürgen; Haberkorn, Uwe und Abdollahi, Amir
(2018):
Feasibility and robustness of dynamic F-18-FET PET based tracer kinetic models applied to patients with recurrent high-grade glioma prior to carbon ion irradiation.
In: Scientific Reports, Vol. 8, 14760
[PDF, 2MB]
ORCID: https://orcid.org/0000-0003-0268-9078; Knoll, Maximilian; Debus, Jürgen; Haberkorn, Uwe und Abdollahi, Amir
(2018):
Feasibility and robustness of dynamic F-18-FET PET based tracer kinetic models applied to patients with recurrent high-grade glioma prior to carbon ion irradiation.
In: Scientific Reports, Vol. 8, 14760
[PDF, 2MB]