DeepComBat: A statistically motivated, hyperparameter-robust, deep learning approach to harmonization of neuroimaging data.

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第一作者： Fengling,Hu

第一单位： Penn Statistics in Imaging and Visualization Endeavor (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

作者： Fengling,Hu ^[1] ; Alfredo,Lucas ^[2] ; Andrew A,Chen ^[1] ; Kyle,Coleman ^[3] ; Hannah,Horng ^[1] ; Raymond W S,Ng ^[4] ; Nicholas J,Tustison ^[5] ; Kathryn A,Davis ^[6] ; Haochang,Shou ^[7] ; Mingyao,Li ^[3] ; Russell T,Shinohara ^[7] ; Alzheimer's Disease Neuroimaging Initiative

作者单位： Penn Statistics in Imaging and Visualization Endeavor (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA. ^[1] Center for Neuroengineering and Therapeutics, Department of Engineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA. ^[2] Statistical Center for Single-Cell and Spatial Genomics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA. ^[3] Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA. ^[4] Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA. ^[5] Center for Neuroengineering and Therapeutics, Department of Engineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.;Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA. ^[6] Penn Statistics in Imaging and Visualization Endeavor (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.;Center for Biomedical Image Computing and Analytics (CBICA), Perelman School of Medicine, Philadelphia, Pennsylvania, USA. ^[7]

关键词 deep learning image harmonization neuroimaging reproducibility

主题词人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);磁共振成像(Magnetic Resonance Imaging);大脑皮质(Cerebral Cortex);老年人(Aged);男(雄)性(Male);女(雌)性(Female)

DOI 10.1002/hbm.26708

PMID 39056477

发布时间 2024-07-30

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