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Fraioli, Francesco; Albert, Nathalie; Boellaard, Ronald; Galazzo, Ilaria Boscolo; Brendel, Matthias; Buvat, Irene; Castellaro, Marco; Cecchin, Diego; Fernandez, Pablo Aguiar; Guedj, Eric; Hammers, Alexander; Kaplar, Zoltan; Morbelli, Silvia; Papp, Laszlo; Shi, Kuangyu; Tolboom, Nelleke; Traub-Weidinger, Tatjana; Verger, Antoine; Van Weehaeghe, Donatienne; Yakushev, Igor; ... (2024). Perspectives of the European Association of Nuclear Medicine on the role of artificial intelligence (AI) in molecular brain imaging. European journal of nuclear medicine and molecular imaging, 51(4), pp. 1007-1011. Springer 10.1007/s00259-023-06553-1
Lu, Jiaying; Wang, Min; Wu, Ping; Yakushev, Igor; Zhang, Huiwei; Ziegler, Sibylle; Jiang, Jiehui; Förster, Stefan; Wang, Jian; Schwaiger, Markus; Rominger, Axel; Huang, Sung-Cheng; Liu, Fengtao; Zuo, Chuantao; Shi, Kuangyu (2023). Adjustment for the Age- and Gender-Related Metabolic Changes Improves the Differential Diagnosis of Parkinsonism. Phenomics, 3(1), pp. 50-63. Springer 10.1007/s43657-022-00079-6
Wang, Min; Schutte, Michael; Grimmer, Timo; Lizarraga, Aldana; Schultz, Thomas; Hedderich, Dennis M; Diehl-Schmid, Janine; Rominger, Axel; Ziegler, Sybille; Navab, Nassir; Yan, Zhuangzhi; Jiang, Jiehui; Yakushev, Igor; Shi, Kuangyu (2022). Reducing instability of inter-subject covariance of FDG uptake networks using structure-weighted sparse estimation approach. European journal of nuclear medicine and molecular imaging, 50(1), pp. 80-89. Springer 10.1007/s00259-022-05949-9
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
Yakushev, Igor; Ripp, Isabelle; Wang, Min; Savio, Alex; Schutte, Michael; Lizarraga, Aldana; Bogdanovic, Borjana; Diehl-Schmid, Janine; Hedderich, Dennis M; Grimmer, Timo; Shi, Kuangyu (2022). Mapping covariance in brain FDG uptake to structural connectivity. European journal of nuclear medicine and molecular imaging, 49(4), pp. 1288-1297. Springer 10.1007/s00259-021-05590-y
Sala, Arianna; Lizarraga, Aldana; Ripp, Isabelle; Cumming, Paul; Yakushev, Igor (2022). Static versus Functional PET: Making Sense of Metabolic Connectivity. Cerebral cortex, 32(5), pp. 1125-1129. Oxford University Press 10.1093/cercor/bhab271
Ripp, Isabelle; Wallenwein, Lara A; Wu, Qiong; Emch, Monica; Koch, Kathrin; Cumming, Paul; Yakushev, Igor (2021). Working memory task induced neural activation: A simultaneous PET/fMRI study. NeuroImage, 237, p. 118131. Elsevier 10.1016/j.neuroimage.2021.118131
Grimmer, Timo; Shi, Kuangyu; Diehl-Schmid, Janine; Natale, Bianca; Drzezga, Alexander; Förster, Stefan; Förstl, Hans; Schwaiger, Markus; Yakushev, Igor; Wester, Hans-Jürgen; Kurz, Alexander; Yousefi, Behrooz Hooshyar (2020). 18F-FIBT may expand PET for β-amyloid imaging in neurodegenerative diseases. Molecular psychiatry, 25(10), pp. 2608-2619. Nature Publishing Group 10.1038/s41380-018-0203-5
Grimmer, Timo; Shi, Kuangyu; Diehl-Schmid, Janine; Natale, Bianca; Drzezga, Alexander; Förster, Stefan; Förstl, Hans; Schwaiger, Markus; Yakushev, Igor; Wester, Hans-Jürgen; Kurz, Alexander; Yousefi, Behrooz Hooshyar (2020). Correction: 18F-FIBT may expand PET for β-amyloid imaging in neurodegenerative diseases. Molecular psychiatry, 25(10), p. 2643. Nature Publishing Group 10.1038/s41380-018-0302-3
Han, Xianhua; Wu, Ping; Alberts, Ian; Zhou, Hucheng; Yu, Huan; Bargiotas, Panagiotis; Yakushev, Igor; Wang, Jian; Höglinger, Guenter; Förster, Stefan; Bassetti, Claudio; Oertel, Wolfgang; Schwaiger, Markus; Huang, Sung-Cheng; Cumming, Paul; Rominger, Axel; Jiang, Jiehui; Zuo, Chuantao; Shi, Kuangyu (2020). Characterizing the heterogeneous metabolic progression in idiopathic REM sleep behavior disorder. NeuroImage: Clinical, 27(102294), p. 102294. Elsevier 10.1016/j.nicl.2020.102294
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
Brendel, Matthias; Deussing, Maximilian; Blume, Tanja; Kaiser, Lena; Probst, Federico; Overhoff, Felix; Peters, Finn; von Ungern-Sternberg, Barbara; Ryazanov, Sergey; Leonov, Andrei; Griesinger, Christian; Zwergal, Andreas; Levin, Johannes; Bartenstein, Peter; Yakushev, Igor; Cumming, Paul; Boening, Guido; Ziegler, Sibylle; Herms, Jochen; Giese, Armin; ... (2019). Late-stage Anle138b treatment ameliorates tau pathology and metabolic decline in a mouse model of human Alzheimer’s disease tau. Alzheimer's research & therapy, 11(1), p. 67. BioMed Central 10.1186/s13195-019-0522-z
Guo, Tengfei; Dukart, Juergen; Brendel, Matthias; Rominger, Axel Oliver; Grimmer, Timo; Yakushev, Igor (2018). Rate of β-amyloid accumulation varies with baseline amyloid burden: Implications for anti-amyloid drug trials. Alzheimer's & dementia, 14(11), pp. 1387-1396. Elsevier 10.1016/j.jalz.2018.05.013
