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Diffusion based multi-domain neuroimaging harmonization method with preservation of anatomical details.

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第一作者： Haoyu,Lan

第一单位： Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. Electronic address: haoyulan@usc.edu.

作者： Haoyu,Lan ^[1] ; Bino A,Varghese ^[2] ; Nasim,Sheikh-Bahaei ^[2] ; Farshid,Sepehrband ^[3] ; Arthur W,Toga ^[3] ; Jeiran,Choupan ^[4] ; Alzheimer's Disease Neuroimaging Initiative

作者单位： Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. Electronic address: haoyulan@usc.edu. ^[1] Department of Radiology, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. ^[2] Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. ^[3] Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; NeuroScope Inc, NY, USA. ^[4]

关键词 Denoising diffusion probabilistic model Domain adaptation Harmonization Image processing Radiomics analysis Structural MRI

医学主题词人类(Humans);脑(Brain);图像处理, 计算机辅助(Image Processing, Computer-Assisted);磁共振成像(Magnetic Resonance Imaging);弥散磁共振成像(Diffusion Magnetic Resonance Imaging);结果可重复性(Reproducibility of Results)

DOI 10.1016/j.neuroimage.2025.121297

PMID 40436128

发布时间 2025-06-24

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