Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
about
Multimodal neuroimaging computing: the workflows, methods, and platformsDiscrimination of Breast Cancer with Microcalcifications on Mammography by Deep LearningDeep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia.Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception.Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.Topographical Information-Based High-Order Functional Connectivity and Its Application in Abnormality Detection for Mild Cognitive Impairment.State-space model with deep learning for functional dynamics estimation in resting-state fMRI.Deep Learning in Medical Image Analysis.Subclass-based multi-task learning for Alzheimer's disease diagnosisAn efficient approach for differentiating Alzheimer's disease from normal elderly based on multicenter MRI using gray-level invariant features.Multi-atlas based representations for Alzheimer's disease diagnosis.Deep sparse multi-task learning for feature selection in Alzheimer's disease diagnosis.Multimodal neuroimaging feature learning for multiclass diagnosis of Alzheimer's disease.Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis.Canonical feature selection for joint regression and multi-class identification in Alzheimer's disease diagnosisSubspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification.Multiple functional networks modeling for autism spectrum disorder diagnosis.Combining Multiple Resting-State fMRI Features during Classification: Optimized Frameworks and Their Application to Nicotine Addiction.Deep ensemble learning of sparse regression models for brain disease diagnosis.MRI-based prostate cancer detection with high-level representation and hierarchical classification.A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology.Diagnosing Autism Spectrum Disorder from Brain Resting-State Functional Connectivity Patterns Using a Deep Neural Network with a Novel Feature Selection Method.High-order resting-state functional connectivity network for MCI classification.Can a Smartphone Diagnose Parkinson Disease? A Deep Neural Network Method and Telediagnosis System Implementation.Characterization of post-traumatic stress disorder using resting-state fMRI with a multi-level parametric classification approach.Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer's disease.Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning.Discriminative self-representation sparse regression for neuroimaging-based alzheimer's disease diagnosis.Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification.Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI.Classification of Alzheimer’s Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images.Structural neuroimaging as clinical predictor: A review of machine learning applications
P2860
Q26766359-B6EE99E5-8299-4C17-AB5C-9CD86CE8300FQ27346169-8E4E3E8A-2A21-4A33-9FDA-2A1A323771D0Q30366937-5D85E8C7-3777-4C9E-B279-83A6867426C0Q30385578-D6E926AD-6E83-4C14-A6D7-AF331822D5E2Q30971403-0E667199-0D3D-4ED9-A301-98160CDA499DQ31063019-AAA9A851-2E71-4615-A48E-E08942DF0DAAQ33707398-9F9C70C7-30D3-404A-B40E-8F33FEA0F1A2Q33707404-180EFEC3-2EBB-4051-A70E-19C57E3F310CQ33822228-F810CD79-856F-4026-B2B3-3E6240E77A00Q34014381-C8F4671A-93D7-4C57-A817-5CF8CB66129FQ34070840-333D6E9B-70C0-4021-ACC2-7A6B4A5F4A64Q34214344-4F14CB66-D2C6-4D72-A3A5-3EF77FD90526Q34477142-FB2D1258-4E21-4A21-A4BC-A96E644AF0FFQ35386421-BAC24960-FCA4-4E43-BD7C-D55D2E6271ADQ35838401-F210F701-AAAD-4F64-AFC2-44A72CBEF7D9Q36563840-2A89DBC5-37B7-4FAC-80CE-C221EC35EF68Q36573046-6898125B-53CC-49E5-9DB3-68FC9DE5040DQ38606003-FC1AE3E7-F790-42F4-A4AA-B7FAD5E3BC6CQ38658936-255D9A41-1365-4B0E-9B62-8510CF94A956Q38975597-E2C7592C-ABDA-430F-AF21-FC72F064152FQ39009656-FA7B0B56-2A0A-4F7A-9FCD-D5218A92A0F2Q40463348-EBD50D69-3FA7-448B-899A-C39203EDFF7AQ41485235-DD9C91FD-851B-4082-8A16-DA02D0F7F834Q42365669-172D3C98-F3DE-4928-AB58-6729A4AC6B98Q42717888-00B04689-C47B-46D8-94A2-26B7B29BD42AQ45340926-C539B875-992F-4E6D-BB74-1876B2379A32Q45953433-C8F44AB9-D178-4F47-9646-9FEF66C9423FQ47555784-00024A62-11DA-4352-8312-2C871053A65BQ48009225-E85F145B-445C-4AB0-99E5-97168AE55579Q48363857-1AD95D5A-5D1C-4BCE-A618-CD570661D5B6Q54965021-4FFEBE37-B546-4EA5-AA31-E68423495CEDQ55406482-61756901-9DCF-4929-8C54-85E2D717A720Q57040013-059DFE3C-D3FA-445B-93BE-AB73A2158CD0
P2860
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
description
2013 nî lūn-bûn
@nan
2013 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
@ast
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
@en
type
label
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
@ast
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
@en
prefLabel
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
@ast
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
@en
P2860
P1476
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
@en
P2093
Heung-Il Suk
Seong-Whan Lee
P2860
P304
P356
10.1007/S00429-013-0687-3
P577
2013-12-22T00:00:00Z