Cargando…

Use of Overlapping Group LASSO Sparse Deep Belief Network to Discriminate Parkinson's Disease and Normal Control

As a medical imaging technology which can show the metabolism of the brain, 18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) is of great value for the diagnosis of Parkinson's Disease (PD). With the development of pattern recognition technology, analysis of brain images using dee...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shen, Ting, Jiang, Jiehui, Lin, Wei, Ge, Jingjie, Wu, Ping, Zhou, Yongjin, Zuo, Chuantao, Wang, Jian, Yan, Zhuangzhi, Shi, Kuangyu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2019
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501727/ https://www.ncbi.nlm.nih.gov/pubmed/31110472 http://dx.doi.org/10.3389/fnins.2019.00396

Ejemplares similares

Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer’s dementia
por: Wang, Min, et al.
Publicado: (2020)

Metabolic network as an objective biomarker in monitoring deep brain stimulation for Parkinson’s disease: a longitudinal study
por: Ge, Jingjie, et al.
Publicado: (2020)

Predicting Alzheimer Disease From Mild Cognitive Impairment With a Deep Belief Network Based on 18F-FDG-PET Images
por: Shen, Ting, et al.
Publicado: (2019)

Groupyr: Sparse Group Lasso in Python
por: Richie-Halford, Adam, et al.
Publicado: (2021)

Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso
por: Dimopoulos, Vasileios, et al.
Publicado: (2022)

Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent
por: Klosa, Jan, et al.
Publicado: (2020)

Brain Network and Abnormal Hemispheric Asymmetry Analyses to Explore the Marginal Differences in Glucose Metabolic Distributions Among Alzheimer's Disease, Parkinson's Disease Dementia, and Lewy Body Dementia
por: Chen, Danyan, et al.
Publicado: (2019)

Identification of hospital cost drivers using sparse group lasso
por: Swierkowski, Piotr, et al.
Publicado: (2018)

Genetic Variants Detection Based on Weighted Sparse Group Lasso
por: Che, Kai, et al.
Publicado: (2020)

Glucose Metabolic Brain Network Differences between Chinese Patients with Lewy Body Dementia and Healthy Control
por: Chen, Danyan, et al.
Publicado: (2018)

Sparse EEG/MEG source estimation via a group lasso
por: Lim, Michael, et al.
Publicado: (2017)

Brain Functional and Structural Signatures in Parkinson’s Disease
por: Liu, Chunhua, et al.
Publicado: (2020)

Brain space image reconstruction of functional near-infrared spectroscopy using a Bayesian adaptive fused sparse overlapping group lasso model
por: Zhai, Xuetong, et al.
Publicado: (2023)

The metabolic brain network in patients with Parkinson's disease based on (18)F-FDG PET imaging: evaluation of neuronal injury and regeneration
por: Ge, Jingjie, et al.
Publicado: (2014)

A Novel Metabolic Connectome Method to Predict Progression to Mild Cognitive Impairment
por: Wang, Min, et al.
Publicado: (2020)

The Parkinson's Disease Progression Neuroimaging Initiative
por: Zhu, Shiyi, et al.
Publicado: (2021)

Group Guided Fused Laplacian Sparse Group Lasso for Modeling Alzheimer's Disease Progression
por: Liu, Xiaoli, et al.
Publicado: (2020)

Retraction of: Overcoming the inadaptability of sparse group lasso for data with various group structures by stacking
Publicado: (2023)

Regularized group regression methods for genomic prediction: Bridge, MCP, SCAD, group bridge, group lasso, sparse group lasso, group MCP and group SCAD
por: Ogutu, Joseph O, et al.
Publicado: (2014)

Development of a Machine Learning Model to Discriminate Mild Cognitive Impairment Subjects from Normal Controls in Community Screening
por: Jiang, Juanjuan, et al.
Publicado: (2022)

Simultaneous Channel and Feature Selection of Fused EEG Features Based on Sparse Group Lasso
por: Wang, Jin-Jia, et al.
Publicado: (2015)

Does the Personality of Patients with Parkinson's Disease Affect the Decision to Perform Deep Brain Stimulation Surgery? A Cross-Sectional Study in a Chinese Cohort
por: Lin, Wei, et al.
Publicado: (2021)

Corrigendum to “Does the Personality of Patients with Parkinson's Disease Affect the Decision to Perform Deep Brain Stimulation Surgery? A Cross-Sectional Study in a Chinese Cohort”
por: Lin, Wei, et al.
Publicado: (2021)

Decoding the dopamine transporter imaging for the differential diagnosis of parkinsonism using deep learning
por: Zhao, Yu, et al.
Publicado: (2022)

LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI
por: Gulraiz, Asma, et al.
Publicado: (2022)

Multi-Task Learning for Compositional Data via Sparse Network Lasso
por: Okazaki, Akira, et al.
Publicado: (2022)

Hypernetwork Construction and Feature Fusion Analysis Based on Sparse Group Lasso Method on fMRI Dataset
por: Li, Yao, et al.
Publicado: (2020)

MobilePrune: Neural Network Compression via ℓ(0) Sparse Group Lasso on the Mobile System
por: Shao, Yubo, et al.
Publicado: (2022)

A novel individual-level morphological brain networks constructing method and its evaluation in PET and MR images
por: Jiang, Jiehui, et al.
Publicado: (2018)

Classification of fissured tongue images using deep neural networks
por: Hu, Junwei, et al.
Publicado: (2022)

Use of a Sparse-Response Deep Belief Network and Extreme Learning Machine to Discriminate Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls Based on Amyloid PET/MRI Images
por: Zhou, Ping, et al.
Publicado: (2021)

Improved interpretation of (18)F-florzolotau PET in progressive supranuclear palsy using a normalization-free deep-learning classifier
por: Lu, Jiaying, et al.
Publicado: (2023)

Corrigendum: Hypernetwork Construction and Feature Fusion Analysis Based on Sparse Group Lasso Method on fMRI Dataset
por: Li, Yao, et al.
Publicado: (2020)

Combining PET with MRI to improve predictions of progression from mild cognitive impairment to Alzheimer’s disease: an exploratory radiomic analysis study
por: Yang, Fan, et al.
Publicado: (2022)

Robust Adaptive Lasso method for parameter’s estimation and variable selection in high-dimensional sparse models
por: Wahid, Abdul, et al.
Publicado: (2017)

Combining Sparse Group Lasso and Linear Mixed Model Improves Power to Detect Genetic Variants Underlying Quantitative Traits
por: Guo, Yingjie, et al.
Publicado: (2019)

A metabolism‐functional connectome sparse coupling method to reveal imaging markers for Alzheimer's disease based on simultaneous PET/MRI scans
por: Wang, Luyao, et al.
Publicado: (2023)

Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks
por: Chai, Rifai, et al.
Publicado: (2017)

Editorial: Translational Advances in Alzheimer's, Parkinson's, and Other Neurodegenerative Dementias
por: Jiang, Jiehui, et al.
Publicado: (2022)

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)

Cannot write session to /tmp/vufind_sessions/sess_1h3lm4d4dvlfltjgihfen8mrgn