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Afshar Oromieh, Ali; Eiber, M.; Fendler, W.; Schmidt, M.; Rahbar, K.; Ahmadzadehfar, H.; Umutlu, L.; Hadaschik, B.; Hakenberg, O.W.; Fornara, P.; Kurth, J.; Neels, O.; Wester, H.J.; Schwaiger, M.; Kopka, K.; Haberkorn, U.; Herrmann, K.; Krause, B.J. (2019). Leitlinie "PSMA-Liganden-PET/CT in der Diagnostik des Prostatakarzinoms". AWMF Online
Birindelli, G.; Drobnjakovic, M.; Morath, V.; Alessandria, C.D.; Gourni, E.; Afshar-Oromieh, A.; Weber, W.; Rominger, A.; Eiber, M.; Shi, K. (2022). In silico study on the heterogeneity of the dose distribution and radiobiological efficacy of Ac-225 and Lu-177 for PSMA-guided radiotherapy. Nuklearmedizin, 61(02), pp. 175-176. Thieme 10.1055/s-0042-1746053
Tetteh, G.; Gafita, A.; Xu, L.; Zhao, Y.; Dong, C.; Rominger, Axel Oliver; Shi, Kuangyu; Zimmer, C.; Menze, B.H.; Eiber, M. (2018). Fully Convolutional Neural Network to Assess Skeleton Tumor Burden in Prostate Cancer Using 68Ga-PSMA-11 PET/CT: Preliminary Results. European journal of nuclear medicine and molecular imaging, 45(S1), S41-S41. Springer-Verlag
Shi, Kuangyu; Xu, L.; Tetteh, G.; Gafita, A.; Haupt, Fabian; Afshar Oromieh, Ali; Eiber, M.; Menze, B.H.; Rominger, Axel Oliver (2018). Multi-Task Deep Learning for the Detection of Lesions on 68Ga-PSMA PET/CT Imaging. European journal of nuclear medicine and molecular imaging, 45(S1), S43-S43. Springer-Verlag
