Cargando…

Cloud-Based Brain Magnetic Resonance Image Segmentation and Parcellation System for Individualized Prediction of Cognitive Worsening

For patients with cognitive disorders and dementia, accurate prognosis of cognitive worsening is critical to their ability to prepare for the future, in collaboration with health-care providers. Despite multiple efforts to apply computational brain magnetic resonance image (MRI) analysis in predicti...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sakamoto, Ryo, Marano, Christopher, Miller, Michael I., Lyketsos, Constantine G., Li, Yue, Mori, Susumu, Oishi, Kenichi, ADNI, Alzheimer's Disease Neuroimaging Initiative
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374863/ https://www.ncbi.nlm.nih.gov/pubmed/30838124 http://dx.doi.org/10.1155/2019/9507193

Ejemplares similares

Classification of Alzheimer's and MCI Patients from Semantically Parcelled PET Images: A Comparison between AV45 and FDG-PET
por: Nozadi, Seyed Hossein, et al.
Publicado: (2018)

Topological Measurements of DWI Tractography for Alzheimer's Disease Detection
por: Amoroso, Nicola, et al.
Publicado: (2017)

Multimodal MRI-based imputation of the Aβ+ in early mild cognitive impairment
por: Tosun, Duygu, et al.
Publicado: (2014)

Standardized quality metric system for structural brain magnetic resonance images in multi-center neuroimaging study
por: Osadebey, Michael E., et al.
Publicado: (2018)

A Comprehensive Investigation of the Potential Role of Lipoproteins and Metabolite Profile as Biomarkers of Alzheimer's Disease Compared to the Known CSF Biomarkers
por: Nasab, Azam Sajjadi, et al.
Publicado: (2023)

Structural Brain Imaging Phenotypes of Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD) Found by Hierarchical Clustering
por: Kärkkäinen, Mikko, et al.
Publicado: (2020)

Tissue-Based MRI Intensity Standardization: Application to Multicentric Datasets
por: Robitaille, Nicolas, et al.
Publicado: (2012)

Frequency Specific Effects of ApoE ε4 Allele on Resting-State Networks in Nondemented Elders
por: Liang, Ying, et al.
Publicado: (2017)

Protective Factors Modulate the Risk of Beta Amyloid in Alzheimer's Disease
por: Zhou, Bin, et al.
Publicado: (2020)

Use of Deep-Learning Genomics to Discriminate Healthy Individuals from Those with Alzheimer's Disease or Mild Cognitive Impairment
por: Li, Lanlan, et al.
Publicado: (2021)

Applications of Neuroimaging to Disease-Modification Trials in Alzheimer’s Disease
por: Fleisher, Adam S., et al.
Publicado: (2009)

Functional Evolving Patterns of Cortical Networks in Progression of Alzheimer's Disease: A Graph-Based Resting-State fMRI Study
por: Li, Wei, et al.
Publicado: (2020)

Benchmarking machine learning models for late-onset alzheimer’s disease prediction from genomic data
por: De Velasco Oriol, Javier, et al.
Publicado: (2019)

Genomic Copy Number Analysis in Alzheimer's Disease and Mild Cognitive Impairment: An ADNI Study
por: Swaminathan, Shanker, et al.
Publicado: (2011)

The Combination of Functional and Structural MRI Is a Potential Screening Tool in Alzheimer’s Disease
por: Huang, Chun-Chao, et al.
Publicado: (2018)

Differential co-expression analysis reveals early stage transcriptomic decoupling in alzheimer’s disease
por: Upadhyaya, Yurika, et al.
Publicado: (2020)

Structural Neuroimaging in the Detection and Prognosis of Pre-Clinical and Early AD
por: Fennema-Notestine, Christine, et al.
Publicado: (2009)

Study of the Influence of Age in (18)F-FDG PET Images Using a Data-Driven Approach and Its Evaluation in Alzheimer's Disease
por: Jiang, Jiehui, et al.
Publicado: (2018)

Surface-Based Analysis on Shape and Fractional Anisotropy of White Matter Tracts in Alzheimer's Disease
por: Qiu, Anqi, et al.
Publicado: (2010)

Identifying the Alteration Patterns of Brain Functional Connectivity in Progressive Mild Cognitive Impairment Patients: A Longitudinal Whole-Brain Voxel-Wise Degree Analysis
por: Deng, Yanjia, et al.
Publicado: (2016)

A Real-Time Clinical Decision Support System, for Mild Cognitive Impairment Detection, Based on a Hybrid Neural Architecture
por: Suárez-Araujo, Carmen Paz, et al.
Publicado: (2021)

CSF-Targeted Proteomics Indicate Amyloid-Beta Ratios in Patients with Alzheimer's Dementia Spectrum
por: Behzad, Maryam, et al.
Publicado: (2023)

Evaluation of Cross-Protocol Stability of a Fully Automated Brain Multi-Atlas Parcellation Tool
por: Liang, Zifei, et al.
Publicado: (2015)

Multi-Contrast Multi-Atlas Parcellation of Diffusion Tensor Imaging of the Human Brain
por: Tang, Xiaoying, et al.
Publicado: (2014)

Alzheimer’s disease and the fornix
por: Oishi, Kenichi, et al.
Publicado: (2014)

Editorial: Alzheimer's Disease and the Fornix
por: Oishi, Kenichi, et al.
Publicado: (2016)

Automated Generation of Radiologic Descriptions on Brain Volume Changes From T1-Weighted MR Images: Initial Assessment of Feasibility
por: Akazawa, Kentaro, et al.
Publicado: (2019)

Journey to the other side of the brain: asymmetry in patients with chronic mild or moderate traumatic brain injury
por: Ross, David E, et al.
Publicado: (2023)

Comparison of nine tractography algorithms for detecting abnormal structural brain networks in Alzheimer’s disease
por: Zhan, Liang, et al.
Publicado: (2015)

Late-life obesity is a protective factor for prodromal Alzheimer’s disease: a longitudinal study
por: Sun, Zhen, et al.
Publicado: (2020)

Plasma sex hormone-binding globulin predicts neurodegeneration and clinical progression in prodromal Alzheimer's disease
por: Xu, Wei, et al.
Publicado: (2020)

Metabolically healthy obesity reduces the risk of Alzheimer’s disease in elders: a longitudinal study
por: Ma, Ling-Zhi, et al.
Publicado: (2019)

DeepParcellation: A novel deep learning method for robust brain magnetic resonance imaging parcellation in older East Asians
por: Lim, Eun-Cheon, et al.
Publicado: (2022)

Cortex Parcellation Associated Whole White Matter Parcellation in Individual Subjects
por: Schiffler, Patrick, et al.
Publicado: (2017)

Bayesian Parameter Estimation and Segmentation in the Multi-Atlas Random Orbit Model
por: Tang, Xiaoying, et al.
Publicado: (2013)

Unsupervised Method Based on Superpixel Segmentation for Corpus Callosum Parcellation in MRI Scans
por: Jlassi, Amal, et al.
Publicado: (2020)

Automated parcellation of the brain surface generated from magnetic resonance images
por: Li, Wen, et al.
Publicado: (2013)

The Mission Parcel Society
por: Webster, Mary E.
Publicado: (1887)

Multi-Modal MRI Analysis with Disease-Specific Spatial Filtering: Initial Testing to Predict Mild Cognitive Impairment Patients Who Convert to Alzheimer’s Disease
por: Oishi, Kenichi, et al.
Publicado: (2011)

A Magnetic Resonance Image Based Atlas of the Rabbit Brain for Automatic Parcellation
por: Muñoz-Moreno, Emma, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_pfqea9r4tn3nbneu991jp0sa1g