TZE-HSIANG CHENTesfay, RRTesfayKoran, M E IM E IKoranOuyang, JJOuyangShams, SSShamsYoung, C BC BYoungDavidzon, GGDavidzonLiang, TTLiangKhalighi, MMKhalighiMormino, EEMorminoZaharchuk, GGZaharchuk2024-04-092024-04-092023-0901956108https://scholars.lib.ntu.edu.tw/handle/123456789/641829With the utility of hybrid τ PET/MR imaging in the screening, diagnosis, and follow-up of individuals with neurodegenerative diseases, we investigated whether deep learning techniques can be used in enhancing ultra-low-dose [18F]-PI-2620 τ PET/MR images to produce diagnostic-quality images.enGenerative Adversarial Network-Enhanced Ultra-Low-Dose [18F]-PI-2620 τ PET/MRI in Aging and Neurodegenerative Populationsjournal article10.3174/ajnr.A7961375917712-s2.0-85170717137https://api.elsevier.com/content/abstract/scopus_id/85170717137