Zhao, Yu

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Number of items: 9.

Journal Article

Mosbahi, Selim; Siepe, Matthias R; Desai, Nimesh D; Pregaldini, Fabio; Nucera, Maria; Berezowski, M; Kelly, John J; Jiang, Fei; Zhao, Yu; Szeto, Wilson Y; Schoenhoff, Florian S; Bavaria, Joseph E (2024). The non to moderately dilated root in acute type a aortic dissection: outcomes of the PENN-BERN registry in young, non-syndromic patients. European journal of cardio-thoracic surgery, 65(1) Oxford University Press 10.1093/ejcts/ezae024

Wu, Ping; Zhao, Yu; Wu, Jianjun; Brendel, Matthias; Lu, Jiaying; Ge, Jingjie; Bernhardt, Alexander; Li, Ling; Alberts, Ian; Katzdobler, Sabrina; Yakushev, Igor; Hong, Jimin; Xu, Qian; Sun, Yimin; Liu, Fengtao; Levin, Johannes; Hoeglinger, Guenter; Bassetti, Claudio; Guan, Yihui; Oertel, Wolfgang H; ... (2022). Differential diagnosis of parkinsonism based on deep metabolic imaging indices. Journal of nuclear medicine, 63(11), pp. 1741-1747. Society of Nuclear Medicine 10.2967/jnumed.121.263029

Xue, Song; Gafita, Andrei; Dong, Chao; Zhao, Yu; Tetteh, Giles; Menze, Bjoern H; Ziegler, Sibylle; Weber, Wolfgang; Afshar-Oromieh, Ali; Rominger, Axel; Eiber, Matthias; Shi, Kuangyu (2022). Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with 177Lu-PSMA I&T therapy. European journal of nuclear medicine and molecular imaging, 49(12), pp. 4064-4072. Springer 10.1007/s00259-022-05883-w

Zhao, Yu; Wu, Ping; Wu, Jianjun; Brendel, Matthias; Lu, Jiaying; Ge, Jingjie; Tang, Chunmeng; Hong, Jimin; Xu, Qian; Liu, Fengtao; Sun, Yimin; Ju, Zizhao; Lin, Huamei; Guan, Yihui; Bassetti, Claudio; Schwaiger, Markus; Huang, Sung-Cheng; Rominger, Axel; Wang, Jian; Zuo, Chuantao; ... (2022). Decoding the dopamine transporter imaging for the differential diagnosis of parkinsonism using deep learning. European journal of nuclear medicine and molecular imaging, 49(8), pp. 2798-2811. Springer 10.1007/s00259-022-05804-x

Hu, Xiaobin; Guo, Rui; Chen, Jieneng; Li, Hongwei; Waldmannstetter, Diana; Zhao, Yu; Li, Biao; Shi, Kuangyu; Menze, Bjoern (2020). Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images. IEEE journal of biomedical and health informatics, 24(9), pp. 2599-2608. Institute of Electrical and Electronics Engineers 10.1109/JBHI.2020.2972694

Zhao, Yu; Gafita, Andrei; Vollnberg, Bernd; Tetteh, Giles; Haupt, Fabian; Afshar-Oromieh, Ali; Menze, Bjoern; Eiber, Matthias; Rominger, Axel; Shi, Kuangyu (2020). Deep neural network for automatic characterization of lesions on 68Ga-PSMA-11 PET/CT. European journal of nuclear medicine and molecular imaging, 47(3), pp. 603-613. Springer-Verlag 10.1007/s00259-019-04606-y

Zhao, Yu; Gafita, Andrei; Tetteh, Giles; Haupt, Fabian; Afshar Oromieh, Ali; Menze, Bjoern; Eiber, Matthias; Rominger, Axel; Shi, Kuangyu (2019). Deep Neural Network for Automatic Characterization of Lesions on 68Ga-PSMA PET/CT Images. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, pp. 951-954. IEEE 10.1109/EMBC.2019.8857955

Zhao, Yu; Wu, Ping; Wang, Jian; Li, Hongwei; Navab, Nassir; Yakushev, Igor; Weber, Wolfgang; Schwaiger, Markus; Huang, Sung-Cheng; Cumming, Paul; Rominger, Axel; Zuo, Chuantao; Shi, Kuangyu (2019). A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on 18F-FDG PET Images. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, pp. 3531-3534. IEEE 10.1109/EMBC.2019.8856747

Yang, Zhenglin; Chen, Yali; Lillo, Concepcion; Chien, Jeremy; Yu, Zhengya; Michaelides, Michel; Klein, Martin; Howes, Kim A; Li, Yang; Kaminoh, Yuuki; Chen, Haoyu; Zhao, Chao; Chen, Yuhong; Al-Sheikh, Youssef Tawfik; Karan, Goutam; Corbeil, Denis; Escher, Pascal; Kamaya, Shin; Li, Chunmei; Johnson, Samantha; ... (2008). Mutant prominin 1 found in patients with macular degeneration disrupts photoreceptor disk morphogenesis in mice. Journal of clinical investigation, 118(8), pp. 2908-2916. American Society for Clinical Investigation 10.1172/JCI35891

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