포트래이 인사이트
데이터 분석과 AI 기술, 그리고 포트래이가 만들어가는 플랫폼의 생각을 전합니다.
최근 글
글 59편
Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging
Behav Brain Res. 2018 May 15;344:103–109. Abstract For effective treatment of Alzheimer’s disease (AD), it is important to identify subjects who are most likely to exhibit rapid cognitive decline. We…
포트래이-
Predicting Aging of Brain Metabolic Topography Using Variational Autoencoder
Front Aging Neurosci. 2018 Jul 12;10:212. Abstract Predicting future brain topography can give insight into neural correlates of aging and neurodegeneration. Due to variability in the aging process, …
포트래이-
Deep learning only by normal brain PET identify unheralded brain anomalies
EBioMedicine. 2019;43:447–453. Abstract Background: Recent deep learning models have shown remarkable accuracy for the diagnostic classification. However, they have limitations in clinical applicatio…
포트래이-
Alzheimer’s Disease Neuroimaging Initiative. Amyloid PET Quantification Via End-to-End Training of a Deep Learning
Nucl Med Mol Imaging. 2019;53(5):340–348. Abstract Purpose: Although quantification of amyloid positron emission tomography (PET) is important for evaluating patients with cognitive impairment, its r…
포트래이-
Alzheimer’s Disease Neuroimaging Initiative. Cognitive signature of brain FDG PET based on deep learning: domain transfer from Alzheimer’s disease to Parkinson’s disease
Eur J Nucl Med Mol Imaging. 2020;47(2):403–412. Abstract Purpose: Although functional brain imaging has been used for the early and objective assessment of cognitive dysfunction, there is a lack of g…
포트래이-
Deep learning-based interpretation of basal/acetazolamide brain perfusion SPECT leveraging unstructured reading reports
Eur J Nucl Med Mol Imaging. 2020 Aug;47(9):2186–2196. Abstract Purpose: Basal/acetazolamide brain perfusion single-photon emission computed tomography (SPECT) has been used to evaluate functional hem…
포트래이-
Unsupervised clustering of dopamine transporter PET imaging discovers heterogeneity of parkinsonism
Human Brain Mapping. 2020. Abstract Parkinsonism has heterogeneous nature, showing distinctive patterns of disease progression and prognosis. We aimed to find clusters of parkinsonism based on 18 F-f…
포트래이-
Visual interpretation of [18F]Florbetaben PET supported by deep learning-based estimation of amyloid burden
Eur J Nucl Med Mol Imaging. 2020 Abstract Purpose: Amyloid PET which has been widely used for noninvasive assessment of cortical amyloid burden is visually interpreted in the clinical setting. As a f…
포트래이-
Variability of FP-CIT PET Patterns Associated With Clinical Features of Multiple System Atrophy
Neurology. 2021;96(12):e1663-e1671. Abstract Objective: To validate the role of the dopamine transporter (DAT) imaging as a biomarker in multiple system atrophy (MSA), we analyzed the association bet…
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