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Improving performance robustness of subject-based brain segmentation software

• Authors : Jong-Hyeok Park; Kyung-Il Park; Dongmin Kim

Subjects: alzheimer disease; artificial intelligence; data augmentation

• Source: Encephalitis, Vol 3, Iss 1, Pp 24-33 (2023)

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Prediction of Amyloid Positivity in Mild Cognitive Impairment Using Fully Automated Brain Segmentation Software

• Authors : Kang KM; Sohn CH; Byun MS

Subjects: amyloid; brain segmentation; magnetic resonance imaging

• Source: Neuropsychiatric Disease and Treatment, Vol Volume 16, Pp 1745-1754 (2020)

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Inter-scanner reproducibility of brain volumetry: influence of automated brain segmentation software

• Authors : Sirui Liu; Bo Hou; Yiwei Zhang

Subjects: Magnetic resonance imaging; Automated brain volumetry; Coefficient of variation

• Source: BMC Neuroscience, Vol 21, Iss 1, Pp 1-10 (2020)

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Prediction of Amyloid Positivity in Mild Cognitive Impairment Using Fully Automated Brain Segmentation Software

Subjects: Neuropsychiatric Disease and Treatment; Original Research; info:eu-repo/semantics/article

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Automatic estimation of brain parenchymal fraction in patients with multple sclerosis: a comparison between synthetic MRI and an established automated brain segmentation software based on FSL

• Authors : Yazici, Ilyas; Krieger, Britta; Bellenberg, Barbara ...

Subjects: Cardiology and Cardiovascular Medicine; Neurology (clinical); Radiology, Nuclear Medicine and imaging

• Source: Neuroradiology ; volume 66, issue 2, page 193-205 ; ISSN 0028-3940 1432-1920

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Prediction of Amyloid Positivity in Mild Cognitive Impairment Using Fully Automated Brain Segmentation Software

• Authors : Kang,Koung Mi; Sohn,Chul-Ho; Byun,Min Soo

Subjects: Neuropsychiatric Disease and Treatment

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Inter-scanner reproducibility of brain volumetry: influence of automated brain segmentation software.

• Authors : Liu S; Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.; Hou B

Subjects: Brain/Brain/Brain/*diagnostic imaging ; Image Processing, Computer-Assisted/Image Processing, Computer-Assisted/Image Processing, Computer-Assisted/*methods ; Magnetic Resonance Imaging/Magnetic Resonance Imaging/Magnetic Resonance Imaging/*instrumentation

• Source: BMC neuroscience [BMC Neurosci] 2020 Sep 04; Vol. 21 (1), pp. 35. Date of Electronic Publication: 2020 Sep 04.Publisher: BioMed Central Country of Publication: England NLM ID: 100966986 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2202

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Inter-scanner reproducibility of brain volumetry: influence of automated brain segmentation software

• Authors : Xiaoyuan Fan; Yiwei Zhang; Bou Hou

Subjects: Adult; Male; Scanner

• Source: BMC NeuroscienceBMC Neuroscience, Vol 21, Iss 1, Pp 1-10 (2020)

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Editorial: Computational Neuroimage Analysis Tools for Brain (Diseases) Biomarkers

• Authors : Sima, Diana M.; Bach Cuadra, Meritxell; Dyrby, Tim B.

Subjects: Biomarkers; Brain connectivity; Brain disease

• Source: Sima , D M , Bach Cuadra , M , Dyrby , T B & Van Leemput , K (eds) 2022 , ' Editorial: Computational Neuroimage Analysis Tools for Brain (Diseases) Biomarkers ' ,

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Automated MRI volumetry as a diagnostic tool for Alzheimer's disease: Validation of icobrain dm

• Authors : Struyfs, Hanne; Sima, Diana Maria; Wittens, Melissa

Subjects: Magnetic resonance imaging (MRI); Brain segmentation software; Dementia

• Source: Struyfs , H , Sima , D M , Wittens , M , Ribbens , A , Pedrosa de Barros , N , Phan , T V , Ferraz Meyer , M I , Claes , L , Niemantsverdriet , E , Engelborghs , S , Van Hecke , W & Smeets , D 2020 ,

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