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SLIC-Occ: functional segmentation of occupancy images improves precision of EC<sub>50</sub> images.

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第一作者： Alaaddin,Ibrahimy

第一单位： Department of Biomedical Engineering, Yale University, New Haven, CT, USA. alaaddin.ibrahimy@yale.edu.

作者： Alaaddin,Ibrahimy ^[1] ; Jocelyn,Hoye ^[2] ; Hao,Wu ^[3] ; Bart,de Laat ^[4] ; Su Jin,Kim ^[5] ; David L,Wilson ^[3] ; Evan D,Morris ^[6]

作者单位： Department of Biomedical Engineering, Yale University, New Haven, CT, USA. alaaddin.ibrahimy@yale.edu. ^[1] Department of Radiology, Yale University, New Haven, CT, USA. ^[2] Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA. ^[3] Department of Psychiatry, Yale University, New Haven, CT, USA. ^[4] Department of Nuclear Medicine, Seoul National University Budang Hospital, Seongnam, South Korea. ^[5] Department of Biomedical Engineering, Yale University, New Haven, CT, USA.;Department of Radiology, Yale University, New Haven, CT, USA.;Department of Psychiatry, Yale University, New Haven, CT, USA. ^[6]

关键词 Accuracy and precision Brain imaging Drug occupancy EC50 images Functional clustering PET simulation

DOI 10.1186/s40658-023-00600-4

PMID 38079001

发布时间 2024-03-12

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EJNMMI physics

2023年10卷1期

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SLIC-Occ: functional segmentation of occupancy images improves precision of EC<sub>50</sub> images.

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SLIC-Occ: functional segmentation of occupancy images improves precision of EC<sub>50</sub> images.

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